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Karl, CoRR (2015).","chicago":"Dräxler, Sevil, and Holger Karl. “Specification of Complex Structures in Distributed Service Function Chaining Using a YANG Data Model.” <i>CoRR</i>, 2015."},"publication":"CoRR","_id":"749","language":[{"iso":"eng"}],"main_file_link":[{"open_access":"1","url":"https://arxiv.org/abs/1503.02442"}],"user_id":"31764","author":[{"id":"31764","last_name":"Dräxler","first_name":"Sevil","full_name":"Dräxler, Sevil"},{"id":"126","full_name":"Karl, Holger","first_name":"Holger","last_name":"Karl"}],"year":"2015","status":"public","title":"Specification of Complex Structures in Distributed Service Function Chaining Using a YANG Data Model","date_updated":"2022-01-06T07:03:39Z"},{"date_updated":"2022-01-06T07:03:39Z","year":"2015","status":"public","title":"Dynamic Backhaul Network Configuration in SDN-based Cloud RANs","author":[{"full_name":"Dräxler, Martin","last_name":"Dräxler","first_name":"Martin"},{"id":"126","first_name":"Holger","last_name":"Karl","full_name":"Karl, Holger"}],"user_id":"15572","_id":"750","publication":"CoRR","citation":{"ama":"Dräxler M, Karl H. Dynamic Backhaul Network Configuration in SDN-based Cloud RANs. <i>CoRR</i>. 2015.","bibtex":"@article{Dräxler_Karl_2015, title={Dynamic Backhaul Network Configuration in SDN-based Cloud RANs}, journal={CoRR}, author={Dräxler, Martin and Karl, Holger}, year={2015} }","mla":"Dräxler, Martin, and Holger Karl. “Dynamic Backhaul Network Configuration in SDN-Based Cloud RANs.” <i>CoRR</i>, 2015.","chicago":"Dräxler, Martin, and Holger Karl. “Dynamic Backhaul Network Configuration in SDN-Based Cloud RANs.” <i>CoRR</i>, 2015.","short":"M. Dräxler, H. Karl, CoRR (2015).","apa":"Dräxler, M., &#38; Karl, H. (2015). Dynamic Backhaul Network Configuration in SDN-based Cloud RANs. <i>CoRR</i>.","ieee":"M. Dräxler and H. Karl, “Dynamic Backhaul Network Configuration in SDN-based Cloud RANs,” <i>CoRR</i>. 2015."},"type":"preprint","department":[{"_id":"75"}],"date_created":"2017-11-27T10:22:25Z"},{"status":"public","conference":{"location":"London","name":"Proceedings of the 5th Workshop on All Things Cellular: Operations, Applications and Challenges"},"ddc":["000"],"user_id":"477","_id":"986","project":[{"_id":"1","name":"SFB 901"},{"name":"SFB 901 - Project Area C","_id":"4"},{"_id":"16","name":"SFB 901 - Subproject C4"}],"file_date_updated":"2018-11-02T14:06:06Z","citation":{"bibtex":"@inproceedings{Peuster_Karl_2015, title={An Architecture for Energy-aware On-demand Mobile Network Management}, booktitle={Proceedings of the 5th Workshop on All Things Cellular: Operations, Applications and Challenges}, author={Peuster, Manuel and Karl, Holger}, year={2015} }","ama":"Peuster M, Karl H. An Architecture for Energy-aware On-demand Mobile Network Management. In: <i>Proceedings of the 5th Workshop on All Things Cellular: Operations, Applications and Challenges</i>. ; 2015.","mla":"Peuster, Manuel, and Holger Karl. “An Architecture for Energy-Aware On-Demand Mobile Network Management.” <i>Proceedings of the 5th Workshop on All Things Cellular: Operations, Applications and Challenges</i>, 2015.","chicago":"Peuster, Manuel, and Holger Karl. “An Architecture for Energy-Aware On-Demand Mobile Network Management.” In <i>Proceedings of the 5th Workshop on All Things Cellular: Operations, Applications and Challenges</i>, 2015.","short":"M. Peuster, H. Karl, in: Proceedings of the 5th Workshop on All Things Cellular: Operations, Applications and Challenges, 2015.","ieee":"M. Peuster and H. Karl, “An Architecture for Energy-aware On-demand Mobile Network Management,” in <i>Proceedings of the 5th Workshop on All Things Cellular: Operations, Applications and Challenges</i>, London, 2015.","apa":"Peuster, M., &#38; Karl, H. (2015). An Architecture for Energy-aware On-demand Mobile Network Management. In <i>Proceedings of the 5th Workshop on All Things Cellular: Operations, Applications and Challenges</i>. London."},"date_updated":"2019-01-03T13:18:55Z","publication_status":"published","accept":"1","title":"An Architecture for Energy-aware On-demand Mobile Network Management","year":"2015","author":[{"first_name":"Manuel","last_name":"Peuster","full_name":"Peuster, Manuel","id":"13271"},{"id":"126","first_name":"Holger","last_name":"Karl","full_name":"Karl, Holger"}],"main_file_link":[{"url":"https://dl.acm.org/citation.cfm?id=2785973"}],"language":[{"iso":"eng"}],"abstract":[{"text":"The increasing amount of mobile traffic leads to a significantly higher energy consumption of mobile networks that is mainly caused by the high number of required base stations. One recent solution for this is based on a two-layered network that uses long-range macro cells to provide a full coverage signaling overlay and short-range small cells for fast data transmissions. These small cells can be switched off when they are not needed and allow network-wide energy optimizations.\r\n\r\nThis paper presents an architecture that extends existing mobile networks to integrate a small cell layer that supports on-demand cell activation. We discuss how additional small cells can be interconnected with existing core components and how they can be controlled by a resource management component. \r\nFinally, a Wi-Fi based proof of concept testbed implementation is presented that demonstrates the feasibility of the approach.","lang":"eng"}],"publication":"Proceedings of the 5th Workshop on All Things Cellular: Operations, Applications and Challenges","type":"conference","department":[{"_id":"75"}],"file":[{"file_id":"5261","content_type":"application/pdf","success":1,"file_size":1916017,"relation":"main_file","date_updated":"2018-11-02T14:06:06Z","open_access":1,"creator":"ups","file_name":"p25-peuster.pdf","access_level":"closed","date_created":"2018-11-02T14:06:06Z"}],"date_created":"2017-11-27T10:22:29Z"},{"citation":{"apa":"Wette, P., Dräxler, M., Schwabe, A., Wallaschek, F., Zahraee, M. H., &#38; Karl, H. (2014). MaxiNet: Distributed Emulation of Software-Defined Networks. In <i>Proceedings of the 2014 IFIP Networking Conference (Networking 2014)</i> (pp. 1–9). <a href=\"https://doi.org/10.1109/IFIPNetworking.2014.6857078\">https://doi.org/10.1109/IFIPNetworking.2014.6857078</a>","ieee":"P. Wette, M. Dräxler, A. Schwabe, F. Wallaschek, M. H. Zahraee, and H. Karl, “MaxiNet: Distributed Emulation of Software-Defined Networks,” in <i>Proceedings of the 2014 IFIP Networking Conference (Networking 2014)</i>, 2014, pp. 1–9.","short":"P. Wette, M. Dräxler, A. Schwabe, F. Wallaschek, M.H. Zahraee, H. Karl, in: Proceedings of the 2014 IFIP Networking Conference (Networking 2014), 2014, pp. 1–9.","chicago":"Wette, Philip, Martin Dräxler, Arne Schwabe, Felix Wallaschek, Mohammad Hassan Zahraee, and Holger Karl. “MaxiNet: Distributed Emulation of Software-Defined Networks.” In <i>Proceedings of the 2014 IFIP Networking Conference (Networking 2014)</i>, 1–9, 2014. <a href=\"https://doi.org/10.1109/IFIPNetworking.2014.6857078\">https://doi.org/10.1109/IFIPNetworking.2014.6857078</a>.","mla":"Wette, Philip, et al. “MaxiNet: Distributed Emulation of Software-Defined Networks.” <i>Proceedings of the 2014 IFIP Networking Conference (Networking 2014)</i>, 2014, pp. 1–9, doi:<a href=\"https://doi.org/10.1109/IFIPNetworking.2014.6857078\">10.1109/IFIPNetworking.2014.6857078</a>.","ama":"Wette P, Dräxler M, Schwabe A, Wallaschek F, Zahraee MH, Karl H. MaxiNet: Distributed Emulation of Software-Defined Networks. In: <i>Proceedings of the 2014 IFIP Networking Conference (Networking 2014)</i>. ; 2014:1-9. doi:<a href=\"https://doi.org/10.1109/IFIPNetworking.2014.6857078\">10.1109/IFIPNetworking.2014.6857078</a>","bibtex":"@inproceedings{Wette_Dräxler_Schwabe_Wallaschek_Zahraee_Karl_2014, title={MaxiNet: Distributed Emulation of Software-Defined Networks}, DOI={<a href=\"https://doi.org/10.1109/IFIPNetworking.2014.6857078\">10.1109/IFIPNetworking.2014.6857078</a>}, booktitle={Proceedings of the 2014 IFIP Networking Conference (Networking 2014)}, author={Wette, Philip and Dräxler, Martin and Schwabe, Arne and Wallaschek, Felix and Zahraee, Mohammad Hassan and Karl, Holger}, year={2014}, pages={1–9} }"},"publication":"Proceedings of the 2014 IFIP Networking Conference (Networking 2014)","file_date_updated":"2018-03-20T07:30:29Z","project":[{"name":"SFB 901","_id":"1"},{"name":"SFB 901 - Subprojekt A2","_id":"6"},{"_id":"2","name":"SFB 901 - Project Area A"}],"abstract":[{"lang":"eng","text":"Network emulations are widely used for testing novel network protocols and routing algorithms in realistic scenarios. Up to now, there is no emulation tool that is able to emulate large software-defined data center networks that consist of several thousand nodes. Mininet is the most common tool to emulate Software-Defined Networks of several hundred nodes. We extend Mininet to span an emulated network over several physical machines, making it possible to emulate networks of several thousand nodes on just a handful of physical machines. This enables us to emulate, e.g., large data center networks. To test this approach, we additionally introduce a traffic generator for data center traffic. Since there are no data center traffic traces publicly available we use the results of two recent traffic studies to create synthetic traffic. We show the design and discuss some challenges we had in building our traffic generator. As a showcase for our work we emulated a data center consisting of 3200 hosts on a cluster of only 12 physical machines. We show the resulting workloads and the trade-offs involved."}],"date_created":"2017-10-17T12:41:56Z","file":[{"date_created":"2018-03-20T07:30:29Z","creator":"florida","file_id":"1425","success":1,"content_type":"application/pdf","file_name":"329-maxinet_networking14_01.pdf","file_size":786320,"access_level":"closed","relation":"main_file","date_updated":"2018-03-20T07:30:29Z"}],"department":[{"_id":"75"}],"type":"conference","author":[{"full_name":"Wette, Philip","first_name":"Philip","last_name":"Wette"},{"full_name":"Dräxler, Martin","first_name":"Martin","last_name":"Dräxler"},{"full_name":"Schwabe, Arne","last_name":"Schwabe","first_name":"Arne"},{"full_name":"Wallaschek, Felix","last_name":"Wallaschek","first_name":"Felix"},{"first_name":"Mohammad Hassan","last_name":"Zahraee","full_name":"Zahraee, Mohammad Hassan"},{"last_name":"Karl","first_name":"Holger","full_name":"Karl, Holger","id":"126"}],"title":"MaxiNet: Distributed Emulation of Software-Defined Networks","year":"2014","status":"public","has_accepted_license":"1","date_updated":"2022-01-06T06:59:09Z","_id":"329","page":"1-9","doi":"10.1109/IFIPNetworking.2014.6857078","ddc":["040"],"user_id":"15572"},{"project":[{"name":"SFB 901","_id":"1"},{"name":"SFB 901 - Subproject A2","_id":"6"},{"name":"SFB 901 - Project Area A","_id":"2"}],"abstract":[{"lang":"eng","text":"Preemptive Routing and Wavelength Assignment (RWA) algorithms preempt established lightpaths in case notenough resources are available to set up a new lightpath in aWavelength Division Multiplexing (WDM) network. The selectionof lightpaths to be preempted relies on internal decisions of theRWA algorithm. Thus, if dedicated properties of the networktopology are required by the applications running on the network,these requirements have to be known to the RWA algorithm.We present a family of preemptive RWA algorithms for WDMnetworks. These algorithms have two distinguishing features: a)they can handle dynamic traffic by on-the-fly reconfiguration,and b) users can give feedback for reconfiguration decisions andthus influence the preemption decision of the RWA algorithm,leading to networks which adapt directly to application needs.This is different from traffic engineering where the network is(slowly) adapted to observed traffic patterns.Our algorithms handle various WDM network configurationsincluding networks consisting of heterogeneous WDM hardware.To this end, we are using the layered graph approach togetherwith a newly developed graph model that is used to determineconflicting lightpaths."}],"citation":{"ama":"Wette P, Karl H. Using Application Layer Knowledge in Routing and Wavelength Assignment Algorithms. In: <i>Proceedings of the IEEE International Conference on Communications 2014</i>. ; 2014:3270-3276. doi:<a href=\"https://doi.org/10.1109/ICC.2014.6883825\">10.1109/ICC.2014.6883825</a>","bibtex":"@inproceedings{Wette_Karl_2014, title={Using Application Layer Knowledge in Routing and Wavelength Assignment Algorithms}, DOI={<a href=\"https://doi.org/10.1109/ICC.2014.6883825\">10.1109/ICC.2014.6883825</a>}, booktitle={Proceedings of the IEEE International Conference on Communications 2014}, author={Wette, Philip and Karl, Holger}, year={2014}, pages={3270–3276} }","mla":"Wette, Philip, and Holger Karl. “Using Application Layer Knowledge in Routing and Wavelength Assignment Algorithms.” <i>Proceedings of the IEEE International Conference on Communications 2014</i>, 2014, pp. 3270–76, doi:<a href=\"https://doi.org/10.1109/ICC.2014.6883825\">10.1109/ICC.2014.6883825</a>.","short":"P. Wette, H. Karl, in: Proceedings of the IEEE International Conference on Communications 2014, 2014, pp. 3270–3276.","chicago":"Wette, Philip, and Holger Karl. “Using Application Layer Knowledge in Routing and Wavelength Assignment Algorithms.” In <i>Proceedings of the IEEE International Conference on Communications 2014</i>, 3270–76, 2014. <a href=\"https://doi.org/10.1109/ICC.2014.6883825\">https://doi.org/10.1109/ICC.2014.6883825</a>.","apa":"Wette, P., &#38; Karl, H. (2014). Using Application Layer Knowledge in Routing and Wavelength Assignment Algorithms. In <i>Proceedings of the IEEE International Conference on Communications 2014</i> (pp. 3270–3276). <a href=\"https://doi.org/10.1109/ICC.2014.6883825\">https://doi.org/10.1109/ICC.2014.6883825</a>","ieee":"P. Wette and H. Karl, “Using Application Layer Knowledge in Routing and Wavelength Assignment Algorithms,” in <i>Proceedings of the IEEE International Conference on Communications 2014</i>, 2014, pp. 3270–3276."},"file_date_updated":"2018-03-20T07:29:00Z","publication":"Proceedings of the IEEE International Conference on Communications 2014","department":[{"_id":"75"}],"type":"conference","date_created":"2017-10-17T12:41:58Z","file":[{"date_created":"2018-03-20T07:29:00Z","creator":"florida","success":1,"content_type":"application/pdf","file_id":"1422","access_level":"closed","file_size":138062,"file_name":"339-IEEE-WK-14.pdf","date_updated":"2018-03-20T07:29:00Z","relation":"main_file"}],"has_accepted_license":"1","date_updated":"2022-01-06T06:59:14Z","author":[{"full_name":"Wette, Philip","last_name":"Wette","first_name":"Philip"},{"id":"126","first_name":"Holger","last_name":"Karl","full_name":"Karl, Holger"}],"year":"2014","title":"Using Application Layer Knowledge in Routing and Wavelength Assignment Algorithms","status":"public","user_id":"15504","ddc":["040"],"doi":"10.1109/ICC.2014.6883825","_id":"339","page":"3270-3276"},{"citation":{"ieee":"M. Keller, C. Robbert, and H. Karl, “Template Embedding: Using Application Architecture to Allocate Resources in Distributed Clouds,” in <i>Proceedings of 7th International Conference on Utility and Cloud Computing (UCC)</i>, 2014, pp. 387--395.","apa":"Keller, M., Robbert, C., &#38; Karl, H. (2014). Template Embedding: Using Application Architecture to Allocate Resources in Distributed Clouds. In <i>Proceedings of 7th International Conference on Utility and Cloud Computing (UCC)</i> (pp. 387--395). <a href=\"https://doi.org/10.1109/UCC.2014.49\">https://doi.org/10.1109/UCC.2014.49</a>","short":"M. Keller, C. Robbert, H. Karl, in: Proceedings of 7th International Conference on Utility and Cloud Computing (UCC), 2014, pp. 387--395.","chicago":"Keller, Matthias, Christoph Robbert, and Holger Karl. “Template Embedding: Using Application Architecture to Allocate Resources in Distributed Clouds.” In <i>Proceedings of 7th International Conference on Utility and Cloud Computing (UCC)</i>, 387--395, 2014. <a href=\"https://doi.org/10.1109/UCC.2014.49\">https://doi.org/10.1109/UCC.2014.49</a>.","mla":"Keller, Matthias, et al. “Template Embedding: Using Application Architecture to Allocate Resources in Distributed Clouds.” <i>Proceedings of 7th International Conference on Utility and Cloud Computing (UCC)</i>, 2014, pp. 387--395, doi:<a href=\"https://doi.org/10.1109/UCC.2014.49\">10.1109/UCC.2014.49</a>.","bibtex":"@inproceedings{Keller_Robbert_Karl_2014, title={Template Embedding: Using Application Architecture to Allocate Resources in Distributed Clouds}, DOI={<a href=\"https://doi.org/10.1109/UCC.2014.49\">10.1109/UCC.2014.49</a>}, booktitle={Proceedings of 7th International Conference on Utility and Cloud Computing (UCC)}, author={Keller, Matthias and Robbert, Christoph and Karl, Holger}, year={2014}, pages={387--395} }","ama":"Keller M, Robbert C, Karl H. Template Embedding: Using Application Architecture to Allocate Resources in Distributed Clouds. In: <i>Proceedings of 7th International Conference on Utility and Cloud Computing (UCC)</i>. ; 2014:387--395. doi:<a href=\"https://doi.org/10.1109/UCC.2014.49\">10.1109/UCC.2014.49</a>"},"publication":"Proceedings of 7th International Conference on Utility and Cloud Computing (UCC)","file_date_updated":"2018-03-20T07:23:02Z","project":[{"name":"SFB 901","_id":"1"},{"_id":"6","name":"SFB 901 - Subprojekt A2"},{"_id":"2","name":"SFB 901 - Project Area A"}],"abstract":[{"lang":"eng","text":"In distributed cloud computing, application deployment across multiple sites can improve quality of service. Recent research developed algorithms to find optimal locations for virtual machines. However, those algorithms assume to have either single-tier applications or a fixed number of virtual machines – a strong simplification of reality. This paper investigates the placement and scaling of complex application architectures. An application is dynamically scaled to fit both the current demand situation and the currently available infrastructure resources. We compare two approaches: The first one is based on virtual network embedding. The second approach is a novel method called Template Embedding. It is based on a hierarchical 1-allocation hub flow problem and combines applica- tion scaling and embedding in one step. Extensive experiments on 43200 network configurations showed that Template Embedding outperforms virtual network embedding in all cases in three metrics: success rate, solution quality, and runtime. This positive result shows that template embedding is a promising approach for distributed cloud resource allocation."}],"date_created":"2017-10-17T12:42:01Z","file":[{"date_created":"2018-03-20T07:23:02Z","creator":"florida","file_id":"1413","content_type":"application/pdf","success":1,"file_name":"354-keller_ucc14_preprint_01.pdf","access_level":"closed","file_size":737652,"relation":"main_file","date_updated":"2018-03-20T07:23:02Z"}],"department":[{"_id":"75"}],"type":"conference","author":[{"last_name":"Keller","first_name":"Matthias","full_name":"Keller, Matthias"},{"first_name":"Christoph","last_name":"Robbert","full_name":"Robbert, Christoph"},{"full_name":"Karl, Holger","last_name":"Karl","first_name":"Holger","id":"126"}],"title":"Template Embedding: Using Application Architecture to Allocate Resources in Distributed Clouds","year":"2014","status":"public","has_accepted_license":"1","date_updated":"2022-01-06T06:59:22Z","_id":"354","page":"387--395","ddc":["040"],"doi":"10.1109/UCC.2014.49","user_id":"15572"},{"department":[{"_id":"75"}],"type":"conference","date_created":"2017-10-17T12:42:02Z","file":[{"creator":"florida","date_created":"2018-03-20T07:21:01Z","file_size":422019,"access_level":"open_access","file_name":"360-Mehr1410_Specifying_preprint_01.pdf","date_updated":"2018-06-25T08:08:44Z","relation":"main_file","content_type":"application/pdf","file_id":"1409"}],"abstract":[{"lang":"eng","text":"Network appliances perform different functions on network flows and constitute an important part of an operator’s network. Normally, a set of chained network functions process network flows. Following the trend of virtualization of networks, virtualization of the network functions has also become a topic of interest. We define a model for formalizing the chaining of network functions using a context-free language. We process deployment requests and construct virtual network function graphs that can be mapped to the network. We describe the mapping as a Mixed Integer Quadratically Constrained Program (MIQCP) for finding the placement of the network functions and chaining them together considering the limited network resources and requirements of the functions. We have performed a Pareto set analysis to investigate the possible trade-offs between different optimization objectives. "}],"publication":"Proceedings of the 3rd International Conference on Cloud Networking (CloudNet)","doi":"10.1109/CloudNet.2014.6968961","date_updated":"2022-01-06T06:59:27Z","author":[{"id":"31764","last_name":"Dräxler","first_name":"Sevil","full_name":"Dräxler, Sevil"},{"first_name":"Matthias","last_name":"Keller","full_name":"Keller, Matthias"},{"full_name":"Karl, Holger","first_name":"Holger","last_name":"Karl","id":"126"}],"title":"Specifying and Placing Chains of Virtual Network Functions","year":"2014","oa":"1","project":[{"_id":"1","name":"SFB 901"},{"_id":"6","name":"SFB 901 - Subprojekt A2"},{"_id":"2","name":"SFB 901 - Project Area A"}],"citation":{"chicago":"Dräxler, Sevil, Matthias Keller, and Holger Karl. “Specifying and Placing Chains of Virtual Network Functions.” In <i>Proceedings of the 3rd International Conference on Cloud Networking (CloudNet)</i>, 7–13, 2014. <a href=\"https://doi.org/10.1109/CloudNet.2014.6968961\">https://doi.org/10.1109/CloudNet.2014.6968961</a>.","short":"S. Dräxler, M. Keller, H. Karl, in: Proceedings of the 3rd International Conference on Cloud Networking (CloudNet), 2014, pp. 7–13.","apa":"Dräxler, S., Keller, M., &#38; Karl, H. (2014). Specifying and Placing Chains of Virtual Network Functions. In <i>Proceedings of the 3rd International Conference on Cloud Networking (CloudNet)</i> (pp. 7–13). <a href=\"https://doi.org/10.1109/CloudNet.2014.6968961\">https://doi.org/10.1109/CloudNet.2014.6968961</a>","ieee":"S. Dräxler, M. Keller, and H. Karl, “Specifying and Placing Chains of Virtual Network Functions,” in <i>Proceedings of the 3rd International Conference on Cloud Networking (CloudNet)</i>, 2014, pp. 7–13.","ama":"Dräxler S, Keller M, Karl H. Specifying and Placing Chains of Virtual Network Functions. In: <i>Proceedings of the 3rd International Conference on Cloud Networking (CloudNet)</i>. ; 2014:7-13. doi:<a href=\"https://doi.org/10.1109/CloudNet.2014.6968961\">10.1109/CloudNet.2014.6968961</a>","bibtex":"@inproceedings{Dräxler_Keller_Karl_2014, title={Specifying and Placing Chains of Virtual Network Functions}, DOI={<a href=\"https://doi.org/10.1109/CloudNet.2014.6968961\">10.1109/CloudNet.2014.6968961</a>}, booktitle={Proceedings of the 3rd International Conference on Cloud Networking (CloudNet)}, author={Dräxler, Sevil and Keller, Matthias and Karl, Holger}, year={2014}, pages={7–13} }","mla":"Dräxler, Sevil, et al. “Specifying and Placing Chains of Virtual Network Functions.” <i>Proceedings of the 3rd International Conference on Cloud Networking (CloudNet)</i>, 2014, pp. 7–13, doi:<a href=\"https://doi.org/10.1109/CloudNet.2014.6968961\">10.1109/CloudNet.2014.6968961</a>."},"file_date_updated":"2018-06-25T08:08:44Z","user_id":"31764","ddc":["040"],"urn":"3601","_id":"360","page":"7-13","has_accepted_license":"1","status":"public"},{"status":"public","has_accepted_license":"1","page":"47--52","_id":"372","ddc":["000"],"user_id":"477","file_date_updated":"2018-11-02T14:00:54Z","citation":{"ieee":"M. Keller and H. Karl, “Response Time-Optimized Distributed Cloud Resource Allocation,” in <i>Proceedings of the SIGCOMM workshop on Distributed cloud computing</i>, 2014, pp. 47--52.","apa":"Keller, M., &#38; Karl, H. (2014). Response Time-Optimized Distributed Cloud Resource Allocation. In <i>Proceedings of the SIGCOMM workshop on Distributed cloud computing</i> (pp. 47--52). <a href=\"https://doi.org/10.1145/2627566.2627570\">https://doi.org/10.1145/2627566.2627570</a>","chicago":"Keller, Matthias, and Holger Karl. “Response Time-Optimized Distributed Cloud Resource Allocation.” In <i>Proceedings of the SIGCOMM Workshop on Distributed Cloud Computing</i>, 47--52, 2014. <a href=\"https://doi.org/10.1145/2627566.2627570\">https://doi.org/10.1145/2627566.2627570</a>.","short":"M. Keller, H. Karl, in: Proceedings of the SIGCOMM Workshop on Distributed Cloud Computing, 2014, pp. 47--52.","mla":"Keller, Matthias, and Holger Karl. “Response Time-Optimized Distributed Cloud Resource Allocation.” <i>Proceedings of the SIGCOMM Workshop on Distributed Cloud Computing</i>, 2014, pp. 47--52, doi:<a href=\"https://doi.org/10.1145/2627566.2627570\">10.1145/2627566.2627570</a>.","bibtex":"@inproceedings{Keller_Karl_2014, title={Response Time-Optimized Distributed Cloud Resource Allocation}, DOI={<a href=\"https://doi.org/10.1145/2627566.2627570\">10.1145/2627566.2627570</a>}, booktitle={Proceedings of the SIGCOMM workshop on Distributed cloud computing}, author={Keller, Matthias and Karl, Holger}, year={2014}, pages={47--52} }","ama":"Keller M, Karl H. Response Time-Optimized Distributed Cloud Resource Allocation. In: <i>Proceedings of the SIGCOMM Workshop on Distributed Cloud Computing</i>. ; 2014:47--52. doi:<a href=\"https://doi.org/10.1145/2627566.2627570\">10.1145/2627566.2627570</a>"},"project":[{"name":"SFB 901","_id":"1"},{"_id":"6","name":"SFB 901 - Subprojekt A2"},{"name":"SFB 901 - Project Area A","_id":"2"}],"title":"Response Time-Optimized Distributed Cloud Resource Allocation","year":"2014","author":[{"full_name":"Keller, Matthias","first_name":"Matthias","last_name":"Keller"},{"id":"126","last_name":"Karl","first_name":"Holger","full_name":"Karl, Holger"}],"date_updated":"2022-01-06T06:59:31Z","language":[{"iso":"eng"}],"doi":"10.1145/2627566.2627570","publication":"Proceedings of the SIGCOMM workshop on Distributed cloud computing","abstract":[{"text":"In the near future many more compute resources will be available at different geographical locations. To minimize the response time of requests, application servers closer to the user can hence be used to shorten network round trip times. However, this advantage is neutralized if the used data centre is highly loaded as the processing time of re- quests is important as well. We model the request response time as the network round trip time plus the processing time at a data centre.We present a capacitated facility location problem formal- ization where the processing time is modelled as the sojourn time of a queueing model. We discuss the Pareto trade-off between the number of used data centres and the resulting response time. For example, using fewer data centres could cut expenses but results in high utilization, high response time, and smaller revenues.Previous work presented a non-linear cost function. We prove its convexity and exploit this property in two ways: First, we transform the convex model into a linear model while controlling the maximum approximation error. Sec- ond, we used a convex solver instead of a slower non-linear solver. Numerical results on network topologies exemplify our work.","lang":"eng"}],"file":[{"date_updated":"2018-11-02T14:00:54Z","relation":"main_file","file_size":804240,"access_level":"closed","file_name":"p47-keller.pdf","success":1,"content_type":"application/pdf","file_id":"5259","creator":"ups","date_created":"2018-11-02T14:00:54Z"}],"date_created":"2017-10-17T12:42:04Z","type":"conference","department":[{"_id":"75"}]},{"user_id":"477","ddc":["004"],"_id":"382","page":"203-210","has_accepted_license":"1","status":"public","project":[{"name":"SFB 901","_id":"1"},{"_id":"6","name":"SFB 901 - Subprojekt A2"},{"_id":"7","name":"SFB 901 - Subproject A3"},{"_id":"2","name":"SFB 901 - Project Area A"}],"citation":{"chicago":"Künsemöller, Jörn, Sonja Brangewitz, Holger Karl, and Claus-Jochen Haake. “Provider Competition in Infrastructure-as-a-Service.” In <i>Proceedings of the 2014 IEEE International Conference on Services Computing (SCC)</i>, 203–10, 2014. <a href=\"https://doi.org/10.1109/SCC.2014.35\">https://doi.org/10.1109/SCC.2014.35</a>.","short":"J. Künsemöller, S. Brangewitz, H. Karl, C.-J. Haake, in: Proceedings of the 2014 IEEE International Conference on Services Computing (SCC), 2014, pp. 203–210.","ama":"Künsemöller J, Brangewitz S, Karl H, Haake C-J. Provider Competition in Infrastructure-as-a-Service. In: <i>Proceedings of the 2014 IEEE International Conference on Services Computing (SCC)</i>. ; 2014:203-210. doi:<a href=\"https://doi.org/10.1109/SCC.2014.35\">10.1109/SCC.2014.35</a>","bibtex":"@inproceedings{Künsemöller_Brangewitz_Karl_Haake_2014, title={Provider Competition in Infrastructure-as-a-Service}, DOI={<a href=\"https://doi.org/10.1109/SCC.2014.35\">10.1109/SCC.2014.35</a>}, booktitle={Proceedings of the 2014 IEEE International Conference on Services Computing (SCC)}, author={Künsemöller, Jörn and Brangewitz, Sonja and Karl, Holger and Haake, Claus-Jochen}, year={2014}, pages={203–210} }","apa":"Künsemöller, J., Brangewitz, S., Karl, H., &#38; Haake, C.-J. (2014). Provider Competition in Infrastructure-as-a-Service. In <i>Proceedings of the 2014 IEEE International Conference on Services Computing (SCC)</i> (pp. 203–210). <a href=\"https://doi.org/10.1109/SCC.2014.35\">https://doi.org/10.1109/SCC.2014.35</a>","mla":"Künsemöller, Jörn, et al. “Provider Competition in Infrastructure-as-a-Service.” <i>Proceedings of the 2014 IEEE International Conference on Services Computing (SCC)</i>, 2014, pp. 203–10, doi:<a href=\"https://doi.org/10.1109/SCC.2014.35\">10.1109/SCC.2014.35</a>.","ieee":"J. Künsemöller, S. Brangewitz, H. Karl, and C.-J. Haake, “Provider Competition in Infrastructure-as-a-Service,” in <i>Proceedings of the 2014 IEEE International Conference on Services Computing (SCC)</i>, 2014, pp. 203–210."},"file_date_updated":"2018-11-02T13:34:46Z","doi":"10.1109/SCC.2014.35","language":[{"iso":"eng"}],"date_updated":"2022-01-06T06:59:37Z","author":[{"first_name":"Jörn","last_name":"Künsemöller","full_name":"Künsemöller, Jörn"},{"first_name":"Sonja","last_name":"Brangewitz","full_name":"Brangewitz, Sonja"},{"id":"126","last_name":"Karl","first_name":"Holger","full_name":"Karl, Holger"},{"full_name":"Haake, Claus-Jochen","last_name":"Haake","first_name":"Claus-Jochen","id":"20801"}],"year":"2014","title":"Provider Competition in Infrastructure-as-a-Service","department":[{"_id":"75"},{"_id":"205"}],"type":"conference","date_created":"2017-10-17T12:42:06Z","file":[{"creator":"ups","date_created":"2018-11-02T13:34:46Z","file_name":"06930535.pdf","file_size":228172,"access_level":"closed","relation":"main_file","date_updated":"2018-11-02T13:34:46Z","file_id":"5250","content_type":"application/pdf","success":1}],"abstract":[{"lang":"eng","text":"This paper explores how cloud provider competition influences instance pricing in an IaaS (Infrastructure-as-a-Service) market. When reserved instance pricing includes an on-demand price component in addition to a reservation fee (two-part tariffs), different providers might offer different price combinations, where the client’s choice depends on its load profile. We investigate a duopoly of providers and analyze stable market prices in two-part tariffs. Further, we study offers that allow a specified amount of included usage (three-part tariffs). Neither two-part nor three-part tariffs produce an equilibrium market outcome other than a service pricing that equals production cost, i.e., complex price structures do not significantly affect the results from ordinary Bertrand competition."}],"publication":"Proceedings of the 2014 IEEE International Conference on Services Computing (SCC)"},{"citation":{"ieee":"P. Wette and H. Karl, “Incorporating feedback from application layer into routing and wavelength assignment algorithms,” in <i>2013 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)</i>, 2014.","apa":"Wette, P., &#38; Karl, H. (2014). Incorporating feedback from application layer into routing and wavelength assignment algorithms. In <i>2013 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)</i>. IEEE. <a href=\"https://doi.org/10.1109/infcomw.2013.6970733\">https://doi.org/10.1109/infcomw.2013.6970733</a>","mla":"Wette, Philip, and Holger Karl. “Incorporating Feedback from Application Layer into Routing and Wavelength Assignment Algorithms.” <i>2013 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)</i>, IEEE, 2014, doi:<a href=\"https://doi.org/10.1109/infcomw.2013.6970733\">10.1109/infcomw.2013.6970733</a>.","bibtex":"@inproceedings{Wette_Karl_2014, title={Incorporating feedback from application layer into routing and wavelength assignment algorithms}, DOI={<a href=\"https://doi.org/10.1109/infcomw.2013.6970733\">10.1109/infcomw.2013.6970733</a>}, booktitle={2013 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)}, publisher={IEEE}, author={Wette, Philip and Karl, Holger}, year={2014} }","short":"P. Wette, H. Karl, in: 2013 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), IEEE, 2014.","ama":"Wette P, Karl H. Incorporating feedback from application layer into routing and wavelength assignment algorithms. In: <i>2013 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)</i>. IEEE; 2014. doi:<a href=\"https://doi.org/10.1109/infcomw.2013.6970733\">10.1109/infcomw.2013.6970733</a>","chicago":"Wette, Philip, and Holger Karl. “Incorporating Feedback from Application Layer into Routing and Wavelength Assignment Algorithms.” In <i>2013 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)</i>. IEEE, 2014. <a href=\"https://doi.org/10.1109/infcomw.2013.6970733\">https://doi.org/10.1109/infcomw.2013.6970733</a>."},"publication":"2013 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","department":[{"_id":"75"}],"type":"conference","date_created":"2018-03-27T07:57:00Z","publication_status":"published","date_updated":"2022-01-06T06:53:25Z","author":[{"full_name":"Wette, Philip","first_name":"Philip","last_name":"Wette"},{"id":"126","full_name":"Karl, Holger","last_name":"Karl","first_name":"Holger"}],"publication_identifier":{"isbn":["9781479900565","9781479900558","9781479900541"]},"title":"Incorporating feedback from application layer into routing and wavelength assignment algorithms","status":"public","year":"2014","user_id":"15572","doi":"10.1109/infcomw.2013.6970733","_id":"1801","publisher":"IEEE"},{"type":"journal_article","department":[{"_id":"75"}],"file":[{"date_updated":"2018-11-02T15:46:17Z","relation":"main_file","file_size":698992,"access_level":"closed","file_name":"KünsemöllerKarl.pdf","content_type":"application/pdf","success":1,"file_id":"5312","creator":"ups","date_created":"2018-11-02T15:46:17Z"}],"date_created":"2017-10-17T12:42:23Z","abstract":[{"lang":"eng","text":"Financial benefits are an important factor when cloud infrastructure is considered to meet processing demand. The dynamics of on-demand pricing and service usage are investigated in a two-stage game model for a monopoly Infrastructure-as-a-Service (IaaS) market. The possibility of hybrid clouds (public clouds plus own infrastructure) turns out to be essential in order that not only the provider but also the clients have significant benefits from on-demand services. Even if the client meets all demand in the public cloud, the threat of building a hybrid cloud keeps the instance price low. This is not the case when reserved instances are offered as well. Parameters like load profiles and economies of scale have a huge effect on likely future pricing and on a cost-optimal split-up of client demand between either a client’s own data center and a public cloud service or between reserved and on-demand cloud instances."}],"publication":"Future Generation Computer Systems","doi":"10.1016/j.future.2014.03.005","language":[{"iso":"eng"}],"date_updated":"2022-01-06T07:01:17Z","year":"2014","title":"A Game-Theoretic Approach to the Financial Benefits of Infrastructure-as-a-Service","author":[{"last_name":"Künsemöller","first_name":"Jörn","full_name":"Künsemöller, Jörn"},{"id":"126","first_name":"Holger","last_name":"Karl","full_name":"Karl, Holger"}],"project":[{"_id":"1","name":"SFB 901"},{"_id":"6","name":"SFB 901 - Subprojekt A2"},{"_id":"2","name":"SFB 901 - Project Area A"}],"file_date_updated":"2018-11-02T15:46:17Z","citation":{"bibtex":"@article{Künsemöller_Karl_2014, title={A Game-Theoretic Approach to the Financial Benefits of Infrastructure-as-a-Service}, DOI={<a href=\"https://doi.org/10.1016/j.future.2014.03.005\">10.1016/j.future.2014.03.005</a>}, journal={Future Generation Computer Systems}, publisher={Elsevier}, author={Künsemöller, Jörn and Karl, Holger}, year={2014}, pages={44--52} }","ama":"Künsemöller J, Karl H. A Game-Theoretic Approach to the Financial Benefits of Infrastructure-as-a-Service. <i>Future Generation Computer Systems</i>. 2014:44--52. doi:<a href=\"https://doi.org/10.1016/j.future.2014.03.005\">10.1016/j.future.2014.03.005</a>","mla":"Künsemöller, Jörn, and Holger Karl. “A Game-Theoretic Approach to the Financial Benefits of Infrastructure-as-a-Service.” <i>Future Generation Computer Systems</i>, Elsevier, 2014, pp. 44--52, doi:<a href=\"https://doi.org/10.1016/j.future.2014.03.005\">10.1016/j.future.2014.03.005</a>.","chicago":"Künsemöller, Jörn, and Holger Karl. “A Game-Theoretic Approach to the Financial Benefits of Infrastructure-as-a-Service.” <i>Future Generation Computer Systems</i>, 2014, 44--52. <a href=\"https://doi.org/10.1016/j.future.2014.03.005\">https://doi.org/10.1016/j.future.2014.03.005</a>.","short":"J. Künsemöller, H. Karl, Future Generation Computer Systems (2014) 44--52.","ieee":"J. Künsemöller and H. Karl, “A Game-Theoretic Approach to the Financial Benefits of Infrastructure-as-a-Service,” <i>Future Generation Computer Systems</i>, pp. 44--52, 2014.","apa":"Künsemöller, J., &#38; Karl, H. (2014). A Game-Theoretic Approach to the Financial Benefits of Infrastructure-as-a-Service. <i>Future Generation Computer Systems</i>, 44--52. <a href=\"https://doi.org/10.1016/j.future.2014.03.005\">https://doi.org/10.1016/j.future.2014.03.005</a>"},"user_id":"477","ddc":["000"],"page":"44--52","_id":"467","publisher":"Elsevier","has_accepted_license":"1","status":"public"},{"author":[{"first_name":"Frederic","last_name":"Beister","full_name":"Beister, Frederic"},{"full_name":"Dräxler, Martin","last_name":"Dräxler","first_name":"Martin"},{"first_name":"J.","last_name":"Aelken","full_name":"Aelken, J."},{"id":"126","full_name":"Karl, Holger","first_name":"Holger","last_name":"Karl"}],"title":"Power model design for ICT systems -- A generic approach","year":"2014","status":"public","date_updated":"2022-01-06T07:03:39Z","_id":"753","page":"77--85","doi":"10.1016/j.comcom.2014.02.007","user_id":"15572","citation":{"bibtex":"@article{Beister_Dräxler_Aelken_Karl_2014, title={Power model design for ICT systems -- A generic approach}, DOI={<a href=\"https://doi.org/10.1016/j.comcom.2014.02.007\">10.1016/j.comcom.2014.02.007</a>}, journal={Computer Communications}, author={Beister, Frederic and Dräxler, Martin and Aelken, J. and Karl, Holger}, year={2014}, pages={77--85} }","ama":"Beister F, Dräxler M, Aelken J, Karl H. Power model design for ICT systems -- A generic approach. <i>Computer Communications</i>. 2014:77--85. doi:<a href=\"https://doi.org/10.1016/j.comcom.2014.02.007\">10.1016/j.comcom.2014.02.007</a>","mla":"Beister, Frederic, et al. “Power Model Design for ICT Systems -- A Generic Approach.” <i>Computer Communications</i>, 2014, pp. 77--85, doi:<a href=\"https://doi.org/10.1016/j.comcom.2014.02.007\">10.1016/j.comcom.2014.02.007</a>.","chicago":"Beister, Frederic, Martin Dräxler, J. Aelken, and Holger Karl. “Power Model Design for ICT Systems -- A Generic Approach.” <i>Computer Communications</i>, 2014, 77--85. <a href=\"https://doi.org/10.1016/j.comcom.2014.02.007\">https://doi.org/10.1016/j.comcom.2014.02.007</a>.","short":"F. Beister, M. Dräxler, J. Aelken, H. Karl, Computer Communications (2014) 77--85.","ieee":"F. Beister, M. Dräxler, J. Aelken, and H. Karl, “Power model design for ICT systems -- A generic approach,” <i>Computer Communications</i>, pp. 77--85, 2014.","apa":"Beister, F., Dräxler, M., Aelken, J., &#38; Karl, H. (2014). Power model design for ICT systems -- A generic approach. <i>Computer Communications</i>, 77--85. <a href=\"https://doi.org/10.1016/j.comcom.2014.02.007\">https://doi.org/10.1016/j.comcom.2014.02.007</a>"},"publication":"Computer Communications","date_created":"2017-11-27T10:22:25Z","department":[{"_id":"75"}],"type":"journal_article"},{"department":[{"_id":"75"}],"type":"conference","date_created":"2017-11-27T10:22:25Z","project":[{"call_identifier":"FP7-ICT-2011-C","_id":"22","grant_number":"318115","name":"Connectivity management for eneRgy Optimised Wireless Dense works"}],"ec_funded":"1","citation":{"short":"M. Dräxler, P. Dreimann, H. Karl, in: IEEE Online Conference on Green Communications, OnlineGreenComm 2014, November 12-14, 2014, 2014, pp. 1--7.","chicago":"Dräxler, Martin, Philipp Dreimann, and Holger Karl. “Anticipatory Power Cycling of Mobile Network Equipment for High Demand Multimedia Traffic.” In <i>IEEE Online Conference on Green Communications, OnlineGreenComm 2014, November 12-14, 2014</i>, 1--7, 2014. <a href=\"https://doi.org/10.1109/OnlineGreenCom.2014.7114415\">https://doi.org/10.1109/OnlineGreenCom.2014.7114415</a>.","apa":"Dräxler, M., Dreimann, P., &#38; Karl, H. (2014). Anticipatory power cycling of mobile network equipment for high demand multimedia traffic. In <i>IEEE Online Conference on Green Communications, OnlineGreenComm 2014, November 12-14, 2014</i> (pp. 1--7). <a href=\"https://doi.org/10.1109/OnlineGreenCom.2014.7114415\">https://doi.org/10.1109/OnlineGreenCom.2014.7114415</a>","ieee":"M. Dräxler, P. Dreimann, and H. Karl, “Anticipatory power cycling of mobile network equipment for high demand multimedia traffic,” in <i>IEEE Online Conference on Green Communications, OnlineGreenComm 2014, November 12-14, 2014</i>, 2014, pp. 1--7.","ama":"Dräxler M, Dreimann P, Karl H. Anticipatory power cycling of mobile network equipment for high demand multimedia traffic. In: <i>IEEE Online Conference on Green Communications, OnlineGreenComm 2014, November 12-14, 2014</i>. ; 2014:1--7. doi:<a href=\"https://doi.org/10.1109/OnlineGreenCom.2014.7114415\">10.1109/OnlineGreenCom.2014.7114415</a>","bibtex":"@inproceedings{Dräxler_Dreimann_Karl_2014, title={Anticipatory power cycling of mobile network equipment for high demand multimedia traffic}, DOI={<a href=\"https://doi.org/10.1109/OnlineGreenCom.2014.7114415\">10.1109/OnlineGreenCom.2014.7114415</a>}, booktitle={IEEE Online Conference on Green Communications, OnlineGreenComm 2014, November 12-14, 2014}, author={Dräxler, Martin and Dreimann, Philipp and Karl, Holger}, year={2014}, pages={1--7} }","mla":"Dräxler, Martin, et al. “Anticipatory Power Cycling of Mobile Network Equipment for High Demand Multimedia Traffic.” <i>IEEE Online Conference on Green Communications, OnlineGreenComm 2014, November 12-14, 2014</i>, 2014, pp. 1--7, doi:<a href=\"https://doi.org/10.1109/OnlineGreenCom.2014.7114415\">10.1109/OnlineGreenCom.2014.7114415</a>."},"publication":"IEEE Online Conference on Green Communications, OnlineGreenComm 2014, November 12-14, 2014","doi":"10.1109/OnlineGreenCom.2014.7114415","user_id":"15572","_id":"759","page":"1--7","date_updated":"2022-01-06T07:03:40Z","author":[{"last_name":"Dräxler","first_name":"Martin","full_name":"Dräxler, Martin"},{"first_name":"Philipp","last_name":"Dreimann","full_name":"Dreimann, Philipp"},{"last_name":"Karl","first_name":"Holger","full_name":"Karl, Holger","id":"126"}],"status":"public","title":"Anticipatory power cycling of mobile network equipment for high demand multimedia traffic","year":"2014"}]