Static scheduling algorithms for allocating directed task graphs to multiprocessors
ACM Computing Surveys (CSUR)
MUE '09 Proceedings of the 2009 Third International Conference on Multimedia and Ubiquitous Engineering
AINA '10 Proceedings of the 2010 24th IEEE International Conference on Advanced Information Networking and Applications
A Comparative Study into Distributed Load Balancing Algorithms for Cloud Computing
WAINA '10 Proceedings of the 2010 IEEE 24th International Conference on Advanced Information Networking and Applications Workshops
A game-theoretic method of fair resource allocation for cloud computing services
The Journal of Supercomputing
A task scheduling algorithm based on load balancing in cloud computing
WISM'10 Proceedings of the 2010 international conference on Web information systems and mining
A Scheduling Strategy on Load Balancing of Virtual Machine Resources in Cloud Computing Environment
PAAP '10 Proceedings of the 2010 3rd International Symposium on Parallel Architectures, Algorithms and Programming
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It is possible for IT service providers to provide computing resources in an pay-per-use way in Cloud Computing environments. At the same time, terminal users can also get satisfying services conveniently. But if we take only execution time into consideration when scheduling the cloud resources, it may occur serious load imbalance problem between Virtual Machines (VMs) in Cloud Computing environments. In addition to solve this problem, a new task scheduling model is proposed in this paper. In the model, we optimize the task execution time in view of both the task running time and the system resource utilization. Based on the model, a Particle Swarm Optimization (PSO) --- based algorithm is proposed. In our algorithm, we improved the standard PSO, and introduce a simple mutation mechanism and a self-adapting inertia weight method by classifying the fitness values. In the end of this paper, the global search performance and convergence rate of our adaptive algorithm are validated by the results of the comparative experiments.