Review of Energy Reduction Techniques for Green Cloud Computing
暂无分享,去创建一个
[1] Liu Tang,et al. Energy-aware scheduling scheme using workload-aware consolidation technique in cloud data centres , 2013, China Communications.
[2] Yashwant Singh Patel,et al. Green cloud computing: A review on Green IT areas for cloud computing environment , 2015, 2015 International Conference on Futuristic Trends on Computational Analysis and Knowledge Management (ABLAZE).
[3] Heba Abdullataif Kurdi,et al. Personal mobile grids with a honeybee inspired resource scheduler , 2010 .
[4] Hongke Zhang,et al. Energy-aware virtual machine placement in data centers , 2012, 2012 IEEE Global Communications Conference (GLOBECOM).
[5] Christine Morin,et al. Energy-Aware Ant Colony Based Workload Placement in Clouds , 2011, 2011 IEEE/ACM 12th International Conference on Grid Computing.
[6] Luna Mingyi Zhang. Green Task Scheduling Algorithms with Speeds Optimization on Heterogeneous Cloud Servers , 2010, 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing.
[7] Antonio Bolufé Röhler,et al. Multi-swarm hybrid for multi-modal optimization , 2012, 2012 IEEE Congress on Evolutionary Computation.
[8] Sangyoon Oh,et al. Sercon: Server Consolidation Algorithm using Live Migration of Virtual Machines for Green Computing , 2011 .
[9] Asoke Nath,et al. IMPACT OF GREEN COMPUTING IN IT INDUSTRY TO MAKE ECO FRIENDLY ENVIRONMENT , 2014 .
[10] Rajkumar Buyya,et al. Power Aware Scheduling of Bag-of-Tasks Applications with Deadline Constraints on DVS-enabled Clusters , 2007, Seventh IEEE International Symposium on Cluster Computing and the Grid (CCGrid '07).
[11] Rajkumar Buyya,et al. Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in Cloud data centers , 2012, Concurr. Comput. Pract. Exp..
[12] Lizhe Wang,et al. GreenIT Service Level Agreements , 2010 .
[13] Stephen Chen,et al. Locust Swarms - A new multi-optima search technique , 2009, 2009 IEEE Congress on Evolutionary Computation.
[14] Rajkumar Buyya,et al. Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing , 2012, Future Gener. Comput. Syst..
[15] Dzmitry Kliazovich,et al. DENS: Data Center Energy-Efficient Network-Aware Scheduling , 2010, GreenCom/CPSCom.
[16] Stephen Chen,et al. Improving the performance of particle swarms through dimension reductions — A case study with locust swarms , 2010, IEEE Congress on Evolutionary Computation.
[17] Jin-Soo Kim,et al. Energy Reduction in Consolidated Servers through Memory-Aware Virtual Machine Scheduling , 2011, IEEE Transactions on Computers.
[18] L. Barton Browne,et al. Experimental Analysis of Insect Behaviour , 1974, Springer Berlin Heidelberg.
[19] Albert Y. Zomaya,et al. A Taxonomy and Survey of Energy-Efficient Data Centers and Cloud Computing Systems , 2010, Adv. Comput..
[20] Rajkumar Buyya,et al. CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms , 2011, Softw. Pract. Exp..
[21] Stephen F. Smith,et al. Is Scheduling a Solved Problem , 2005 .
[22] Hassan Haghighi,et al. An energy-efficient approach for virtual machine placement in cloud based data centers , 2013, The 5th Conference on Information and Knowledge Technology.
[23] Roger D. Santer,et al. Arousal facilitates collision avoidance mediated by a looming sensitive visual neuron in a flying locust. , 2008, Journal of neurophysiology.
[24] Charles H.-P. Wen,et al. Flow-and-VM Migration for Optimizing Throughput and Energy in SDN-Based Cloud Datacenter , 2013, 2013 IEEE 5th International Conference on Cloud Computing Technology and Science.
[25] Subasish Mohapatra,et al. Virtualization: A Survey on Concepts, Taxonomy and Associated Security Issues , 2010, 2010 Second International Conference on Computer and Network Technology.
[26] Susmit Bagchi,et al. Emerging Research in Cloud Distributed Computing Systems , 2015 .
[27] Fei Cao,et al. Energy Efficient Workflow Job Scheduling for Green Cloud , 2013, 2013 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum.
[28] Ben Hoare,et al. Animal Migration: Remarkable Journeys in the Wild , 2009 .
[29] Yamuna Nagar,et al. A Review on Energy Efficient Techniques in Green Cloud , 2015 .
[30] Abusfian Elgelany Ibrahim Ahmed,et al. Integrated Framework For Green ICT: Energy Efficiency by Using Effective Metric and Efficient Techniques For Green Data Centres , 2015 .
[31] Sema F. Oktug,et al. A Traffic-Aware Virtual Machine Placement Method for Cloud Data Centers , 2013, 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing.
[32] Subhajyoti Bandyopadhyay,et al. Cloud Computing - The Business Perspective , 2011, 2011 44th Hawaii International Conference on System Sciences.
[33] Axel W. Krings,et al. Insect sensory systems inspired computing and communications , 2009, Ad Hoc Networks.
[34] G. Linan,et al. A bioinspired collision detection algorithm for VLSI implementation , 2005, SPIE Microtechnologies.
[35] Tetsuya Yagi,et al. Real-time robot vision for collision avoidance inspired by neuronal circuits of insects , 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[36] Anupama Potluri,et al. Heuristics for migration with consolidation of ensembles of Virtual Machines , 2014, 2014 Sixth International Conference on Communication Systems and Networks (COMSNETS).
[37] B. Gayathri,et al. Green cloud computing , 2012 .