Adaptive load sharing in homogeneous distributed systems
IEEE Transactions on Software Engineering
Utopia: a load sharing facility for large, heterogeneous distributed computer systems
Software—Practice & Experience
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CCGRID '04 Proceedings of the 2004 IEEE International Symposium on Cluster Computing and the Grid
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IPTPS'04 Proceedings of the Third international conference on Peer-to-Peer Systems
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GPC '09 Proceedings of the 4th International Conference on Advances in Grid and Pervasive Computing
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GRID '08 Proceedings of the 2008 9th IEEE/ACM International Conference on Grid Computing
A taxonomy of peer-to-peer desktop grid paradigms
Cluster Computing
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GRID '11 Proceedings of the 2011 IEEE/ACM 12th International Conference on Grid Computing
Dynamic grid load sharing with adaptive dissemination protocols
The Journal of Supercomputing
Multithreading of kostka numbers computation for the bonjourgrid meta-desktop grid middleware
ICA3PP'10 Proceedings of the 10th international conference on Algorithms and Architectures for Parallel Processing - Volume Part I
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ARCS'10 Proceedings of the 23rd international conference on Architecture of Computing Systems
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Future Generation Computer Systems
A task routing approach to large-scale scheduling
Future Generation Computer Systems
Autonomic load balancing mechanisms in the P2P desktop grid
Proceedings of the 2013 ACM Cloud and Autonomic Computing Conference
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We propose a novel heterogeneous scalable desktop grid system, WaveGrid, which uses a peer-to-peer architecture and can satisfy the needs of applications with fast-turnaround requirements. In WaveGrid, hosts self-organize into a timezone-aware overlay network, which supports straightforward, quick resource discovery. Scheduling methods in WaveGrid take heterogeneity into account in selecting scheduling and migration targets. WaveGrid then rides the wave of available cycles by migrating jobs to hosts located in idle night-time zones around the globe. We evaluate WaveGrid using a heterogeneous host CPU power profile based on empirical data collected from the global computing project BOINC. The simulation results show that WaveGrid perform consistently well with fast turnaround time and low migration overhead. It performs much better than other systems with respect to turnaround, stability and minimal impacts on hosts.