Anonymous Remote Computing: A Paradigm for Parallel Programming on Interconnected Workstations
IEEE Transactions on Software Engineering
DP: A Paradigm for Anonymous Remote Computation and Communication for Cluster Computing
IEEE Transactions on Parallel and Distributed Systems
Pastry: Scalable, Decentralized Object Location, and Routing for Large-Scale Peer-to-Peer Systems
Middleware '01 Proceedings of the IFIP/ACM International Conference on Distributed Systems Platforms Heidelberg
HOTOS '01 Proceedings of the Eighth Workshop on Hot Topics in Operating Systems
Entropia: architecture and performance of an enterprise desktop grid system
Journal of Parallel and Distributed Computing - Special issue on computational grids
Discouraging Free Riding in a Peer-to-Peer CPU-Sharing Grid
HPDC '04 Proceedings of the 13th IEEE International Symposium on High Performance Distributed Computing
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
International Journal of High Performance Computing Applications
The organic grid: self-organizing computation on a peer-to-peer network
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Node-capability-aware replica management for peer-to-peer grids
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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Complex systems such as those in evolution, growth and depinning models do not evolve slowly and gradually, but exhibit avalanche dynamics or punctuated equilibria. Self-Organized Criticality (SOC) and Highly Optimized Tolerance (HOT) are two theoretical models that explain such avalanche dynamics. We have studied avalanche dynamics in two vastly different grid computing systems: Optimal Grid and Vishva. Failures in optimal grid cause an avalanche effect with respect to the overall computation. Vishva does not exhibit failure avalanches. Interestingly, Vishva exhibits load avalanche effects at critical load density, wherein a small load disturbance in one node can cause load disturbances in several other nodes. The avalanche dynamics of grid computing systems implies that grids can be viewed as SOC systems or as HOT systems. An SOC perspective suggests that grids may be sub-optimal in performance, but may be robust to unanticipated uncertainties. A HOT perspective suggests that grids can be made optimal in performance, but would then be sensitive to unanticipated perturbations. An ideal approach for grid systems research is to explore a combination of SOC and HOT as a basis for design, resulting in robust yet optimal systems.