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A novel energy-efficient resource allocation algorithm based on immune clonal optimization for green cloud computing
Wanneng Shu,Wei Wang,Yunji Wang +2 more
TLDR
In this article, the authors proposed an improved clonal selection algorithm based on time cost and energy consumption models in cloud computing environment, and analyzed the performance of their approach using the CloudSim toolkit.Abstract:
Cloud computing is a style of computing in which dynamically scalable and other virtualized resources are provided as a service over the Internet. The energy consumption and makespan associated with the resources allocated should be taken into account. This paper proposes an improved clonal selection algorithm based on time cost and energy consumption models in cloud computing environment. We have analyzed the performance of our approach using the CloudSim toolkit. The experimental results show that our approach has immense potential as it offers significant improvement in the aspects of response time and makespan, demonstrates high potential for the improvement in energy efficiency of the data center, and can effectively meet the service level agreement requested by the users.read more
Citations
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An overview of virtual machine placement schemes in cloud computing
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A review of task scheduling based on meta-heuristics approach in cloud computing
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Research on strong agile response task scheduling optimization enhancement with optimal resource usage in green cloud computing
TL;DR: Experimental results indicate that the proposed algorithm can achieve the stability and efficiency of task scheduling and effectively improve the throughput of the cloud computing system.
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Green Cloud Computing: A Literature Survey
TL;DR: In this survey, the main achievements of green cloud computing are reviewed, recent studies and developments are summarized, and environmental issues are specifically addressed.
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An Appraisal of Meta-Heuristic Resource Allocation Techniques for IaaS Cloud
Syed Hamid Hussain Madni,Muhammad Shafie Abd Latiff,Yahaya Coulibaly,Shafi rsquo i Muhammad Abdulhamid +3 more
TL;DR: This appraisal investigates the meta-heuristics resource allocation techniques for maximizing financial gains and minimizing the financial expenses of cloud users for IaaS in cloud computing environment and points out the various issues addressed.
References
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A view of cloud computing
Michael Armbrust,Armando Fox,Rean Griffith,Anthony D. Joseph,Randy H. Katz,Andy Konwinski,Gunho Lee,David A. Patterson,Ariel Rabkin,Ion Stoica,Matei Zaharia +10 more
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CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms
TL;DR: The result of this case study proves that the federated Cloud computing model significantly improves the application QoS requirements under fluctuating resource and service demand patterns.
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Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing
TL;DR: An architectural framework and principles for energy-efficient Cloud computing are defined and the proposed energy-aware allocation heuristics provision data center resources to client applications in a way that improves energy efficiency of the data center, while delivering the negotiated Quality of Service (QoS).
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Learning and optimization using the clonal selection principle
L.N. de Castro,F.J. Von Zuben +1 more
TL;DR: This paper proposes a computational implementation of the clonal selection principle that explicitly takes into account the affinity maturation of the immune response and derives two versions of the algorithm, derived primarily to perform machine learning and pattern recognition tasks.
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A novel energy-efficient resource allocation algorithm based on immune clonal optimization for green cloud computing
Wanneng Shu,Wei Wang,Yunji Wang +2 more