论文信息 - The JoSchKa System: Organic Job Distribution in Heterogeneous and Unreliable Environments

The JoSchKa System: Organic Job Distribution in Heterogeneous and Unreliable Environments

This paper describes a job distribution system which focuses on standard desktop worker nodes in inhomogeneous and unreliable environments. The system is suited for general purpose usage and supports both batch jobs and object-oriented interactive applications using standard Internet technologies. Advanced scheduling methods minimize the total execution time and improve execution efficiency, specialized to deal with unreliable failing worker nodes.

Hartmut Schmeck | Matthias Bonn

[1] Stefan Tai,et al. Cloud Computing - Web-basierte dynamische IT-Services , 2010, Cloud Computing.

[2] David P. Anderson,et al. BOINC: a system for public-resource computing and storage , 2004, Fifth IEEE/ACM International Workshop on Grid Computing.

[3] Dan Tsafrir,et al. Backfilling Using System-Generated Predictions Rather than User Runtime Estimates , 2007, IEEE Transactions on Parallel and Distributed Systems.

[4] Miron Livny,et al. Condor-a hunter of idle workstations , 1988, [1988] Proceedings. The 8th International Conference on Distributed.

[5] David Gelernter,et al. Generative communication in Linda , 1985, TOPL.

[6] Matthias Bonn. JoSchKa - Jobverteilung in heterogenen und unzuverlässigen Umgebungen , 2008 .

[7] Ingo Melzer. Service-orientierte Architekturen mit Web Services , 2005, DFN-Arbeitstagung über Kommunikationsnetze.

[8] Rajkumar Buyya,et al. Peer-to-Peer Grid Computing and a .NET-Based Alchemi Framework , 2006 .

[9] Yuxiong He,et al. Provably Efficient Two-Level Adaptive Scheduling , 2006, JSSPP.

[10] Stefan Tai,et al. Cloud Computing - Web-Based Dynamic IT Services , 2011 .

[11] Minyi Guo,et al. High-Performance Computing : Paradigm and Infrastructure , 2005 .

[12] Rajkumar Buyya,et al. Peer - to - peer grid computing and a , 2004 .

[13] Hartmut Schmeck,et al. Towards a generic observer/controller architecture for Organic Computing , 2006, GI Jahrestagung.