Stability and Distributed Scheduling Algorithms
IEEE Transactions on Software Engineering
The Gradient Model Load Balancing Method
IEEE Transactions on Software Engineering - Special issue on distributed systems
A comparison of receiver-initiated and sender-initiated adaptive load sharing
Performance Evaluation
Effects of Response and Stability on Scheduling in Distributed Computing Systems
IEEE Transactions on Software Engineering
Dynamic load balancing for distributed memory multiprocessors
Journal of Parallel and Distributed Computing
Finding Idle Machines in a Workstation-Based Distributed System
IEEE Transactions on Software Engineering
A dynamic scheduling strategy for the Chare-Kernel system
Proceedings of the 1989 ACM/IEEE conference on Supercomputing
Load balancing and Poisson equation in a graph
Concurrency: Practice and Experience
Performance of dynamic load balancing algorithms for unstructured mesh calculations
Concurrency: Practice and Experience
Decentralized dynamic load balancing: the particles approach
Information Sciences—Informatics and Computer Science: An International Journal
IEEE Transactions on Parallel and Distributed Systems
A taxonomy of scheduling in general-purpose distributed computing systems
IEEE Transactions on Software Engineering
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Different models for load balancing have been proposed before, each of which has its own features and advantages when considered for a specific scenario. Yet, nearly all of the existing techniques have assumed an oversimplified model of the system which is often not the case of the real world. In this paper, a new gradient based algorithm for dynamic load balancing on multiprocessors is proposed. This algorithm is an analogy of a classical physical model of a Particle & Plane system which operates based on the classic laws of physics dictated by the nature.