{"date_created":"2020-09-04T09:50:01Z","publication":"Journal on Scalable Computing: Practice and Experience","_id":"18999","year":"2006","citation":{"bibtex":"@inproceedings{Bonorden_Meyer auf der Heide_Gehweiler_2006, title={A Web Computing Environment for Parallel Algorithms in Java}, booktitle={Journal on Scalable Computing: Practice and Experience}, author={Bonorden, Olaf and Meyer auf der Heide, Friedhelm and Gehweiler, Joachim}, year={2006}, pages={1–14} }","apa":"Bonorden, O., Meyer auf der Heide, F., &#38; Gehweiler, J. (2006). A Web Computing Environment for Parallel Algorithms in Java. In <i>Journal on Scalable Computing: Practice and Experience</i> (pp. 1–14).","ama":"Bonorden O, Meyer auf der Heide F, Gehweiler J. A Web Computing Environment for Parallel Algorithms in Java. In: <i>Journal on Scalable Computing: Practice and Experience</i>. ; 2006:1-14.","chicago":"Bonorden, Olaf, Friedhelm Meyer auf der Heide, and Joachim Gehweiler. “A Web Computing Environment for Parallel Algorithms in Java.” In <i>Journal on Scalable Computing: Practice and Experience</i>, 1–14, 2006.","mla":"Bonorden, Olaf, et al. “A Web Computing Environment for Parallel Algorithms in Java.” <i>Journal on Scalable Computing: Practice and Experience</i>, 2006, pp. 1–14.","short":"O. Bonorden, F. Meyer auf der Heide, J. Gehweiler, in: Journal on Scalable Computing: Practice and Experience, 2006, pp. 1–14.","ieee":"O. Bonorden, F. Meyer auf der Heide, and J. Gehweiler, “A Web Computing Environment for Parallel Algorithms in Java,” in <i>Journal on Scalable Computing: Practice and Experience</i>, 2006, pp. 1–14."},"language":[{"iso":"eng"}],"abstract":[{"text":"We present a web computing library (PUBWCL) in Java that allows to execute tightly coupled, massively parallel algorithms in the bulk-synchronous (BSP) style on PCs distributed over the internet whose owners are willing to donate their unused computation power. PUBWCL is realized as a peer-to-peer system and features migration and restoration of BSP processes executed on it. The use of Java guarantees a high level of security and makes PUBWCL platform- independent. In order to estimate the loss of efficiency inherent in such a Java-based system, we have compared it to our C-based PUB-Library.\r\nAs the unused computation power of the participating PCs is unpredictable, we need novel strategies for load balancing that have no access to future changes of the computation power available for the application. We develop, analyze, and compare different load balancing strategies for PUBWCL. In order to handle the influence of the fluctuating available computation power, we classify the external work load.\r\nDuring our evaluation of the load balancing algorithms we simulated the external work load in order to have repeatable testing conditions. With the best performing load balancing strategy we could save 39% of the execution time on average and even up to 50% in particular cases, in our test environment.\r\n","lang":"eng"}],"date_updated":"2022-01-06T06:53:56Z","title":"A Web Computing Environment for Parallel Algorithms in Java","user_id":"15415","type":"conference","page":"1-14","status":"public","author":[{"first_name":"Olaf","last_name":"Bonorden","full_name":"Bonorden, Olaf"},{"id":"15523","first_name":"Friedhelm","last_name":"Meyer auf der Heide","full_name":"Meyer auf der Heide, Friedhelm"},{"first_name":"Joachim","last_name":"Gehweiler","full_name":"Gehweiler, Joachim"}],"department":[{"_id":"63"}]}