TY - CONF AU - Djemame, Karim AU - Gourlay, Iain AU - Padgett, James AU - Birkenheuer, Georg AU - Hovestadt, Matthias AU - Kao, Odej AU - Voss, Kerstin ID - 2402 SN - 0-7695-2734-5 T2 - Proc. Int. Conf. on e-Science and Grid Computing TI - Introducing Risk Management into the Grid ER - TY - CONF AU - Hovestadt, Matthias AU - Kao, Odej AU - Voss, Kerstin ID - 2403 SN - 0-7695-2670-5 T2 - Proc. Int. Conf. on Services Computing (SCC) TI - The First Step of Introducing Risk Management for Prepossessing SLAs ER - TY - JOUR AU - Groppe, Sven AU - Böttcher, Stefan AU - Birkenheuer, Georg AU - Höing, André ID - 2405 IS - 1 JF - Data & Knowledge Engineering TI - Reformulating XPath queries and XSLT queries on XSLT views VL - 57 ER - TY - CONF AU - Voss, Kerstin ID - 2406 SN - 0-7695-2622-5 T2 - Proc. Int. Conf. on Networking and Services (ICNS) TI - Risk Aware Migrations for Prepossessing SLAs ER - TY - CONF AU - Lietsch, Stefan AU - Zabel, Henning AU - Berssenbruegge, Jan AU - Wittenberg, Veit AU - Eikermann, Martin ID - 2407 SN - 3-540-48628-3 T2 - Proc. Int. Symp. on Visual Computing (ISVC) TI - Light Simulation in a Distributed Driving Simulator VL - 4291 ER - TY - CONF AU - Lerch, Nicolas AU - Nitsche, Holger AU - Voss, Kerstin AU - Hovestadt, Matthias ID - 2408 T2 - Proc. Cracow Grid Workshop (CGW) TI - First Steps of a Monitoring Framework to Empower Risk Assessment on Grids ER - TY - CONF AU - Birkenheuer, Georg AU - Döhre, Sven AU - Hovestadt, Matthias AU - Kao, Odej AU - Voss, Kerstin ID - 2409 T2 - Proc. Cracow Grid Workshop (CGW) TI - On Similarities of Grid Resources for Identifying Potential Migration Targets ER - TY - CONF AU - Birkenheuer, Georg AU - Djemame, Karim AU - Gourlay, Iain AU - Kao, Odej AU - Padgett, James AU - Voß, Kerstin ID - 2410 T2 - Proc. WS-Agreement Workshop (Open Grid Forum 18) TI - Using WS-Agreement for Risk Management in the Grid ER - TY - CHAP AB - Grid Computing promises an efficient sharing of world-wide distributed resources, ranging from hardware, software, expert knowledge to special I/O devices. However, although the main Grid mechanisms are already developed or are currently addressed by tremendous research effort, the Grid environment still suffers from a low acceptance in different user communities. Beside difficulties regarding an intuitive and comfortable resource access, various problems related to the reliability and the Quality-of-Service while using the Grid exist. Users should be able to rely, that their jobs will have certain priority at the remote Grid site and that they will be finished upon the agreed time regardless of any provider problems. Therefore, QoS issues have to be considered in the Grid middleware but also in the local resource management systems at the Grid sites. However, most of the currently used resource management systems are not suitable for SLAs, as they do not support resource reservation and do not offer mechanisms for job checkpointing/migration respectively. The latter are mandatory for Grid providers as rescue anchor in case of system failures or system overload. This paper focuses on SLA-aware job migration and presents a work, which is being performed in the EU supported project HPC4U. AU - Heine, Felix AU - Hovestadt, Matthias AU - Kao, Odej AU - Keller, Axel ED - Grandinetti, Lucio ID - 1990 T2 - Grid Computing: New Frontiers of High Performance Computing TI - SLA-aware Job Migration in Grid Environments VL - 14 ER - TY - CONF AB - The next generation grid applications demand grid middleware for a flexible negotiation mechanism supporting various ways of quality-of-service (QoS) guarantees. In this context, a QoS guarantee covers simultaneous allocations of various kinds of different resources, such as processor runtime, storage capacity, or network bandwidth, which are specified in the form of service level agreements (SLA). Currently, a gap exists between the capabilities of grid middleware and the underlying resource management systems concerning their support for QoS and SLA negotiation. In this paper we present an approach which closes this gap. Introducing the architecture of the virtual resource manager, we highlight its main QoS management features like run-time responsibility, co-allocation, and fault tolerance. AU - Burchard, Lars-Olof AU - Heine, Felix AU - Hovestadt, Matthias AU - Kao, Odej AU - Keller, Axel AU - Linnert, Barry ID - 1992 T2 - Proc. IEEE Int. Parallel & Distributed Processing Symposium (IPDPS) TI - A Quality-of-Service Architecture for Future Grid Computing Applications. ER -