SLA-based Optimization of Power and Migration Cost in Cloud Computing
CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
Modeling and performance analysis of large scale IaaS Clouds
Future Generation Computer Systems
Mechanism design for robust resource management to false report in cloud computing systems
Proceedings of the 2nd ACM international conference on High confidence networked systems
Meryn: open, SLA-driven, cloud bursting PaaS
Proceedings of the first ACM workshop on Optimization techniques for resources management in clouds
Multi-objective Virtual Machine Placement with Service Level Agreement: A Memetic Algorithm Approach
UCC '13 Proceedings of the 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing
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With increasing demand for computing and memory, distributed computing systems have attracted a lot of attention. Resource allocation is one of the most important challenges in the distributed systems specially when the clients have Service Level Agreements (SLAs) and the total profit in the system depends on how the system can meet these SLAs. In this paper, an SLA-based resource allocation problem for multi-tier applications in the cloud computing is considered. An upper bound on the total profit is provided and an algorithm based on force-directed search is proposed to solve the problem. The processing, memory requirement, and communication resources are considered as three dimensions in which optimization is performed. Simulation results demonstrate the effectiveness of the proposed heuristic algorithm.