Prepartition: A new paradigm for the load balance of virtual machine reservations in data centers

2014 IEEE International Conference on Communications, ICC 2014

Volumn , Issue , 2014, Pages 4017-4022

  Tian, Wenhong ^a   Xu, Minxian ^a   Chen, Yu ^a   Zhao, Yong ^a  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

Cloud Computing; Load Balance Scheduling; Physical Machines (PMs); Reservation Model; Virtual Machines (VMs)

Indexed keywords

CLOUD COMPUTING; COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; NETWORK MANAGEMENT; SCHEDULING ALGORITHMS;

APPROXIMATION RATIOS; CLOUD DATA CENTERS; LOAD BALANCE; LOAD BALANCING ALGORITHMS; PERFORMANCE AND RELIABILITIES; PHYSICAL MACHINES (PMS); SYNTHETIC SIMULATION; VIRTUAL MACHINES;

SCHEDULING;

EID: 84906991541     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICC.2014.6883949     Document Type: Conference Paper

References (13)

1. M. Armbrust et al., Above the Coulds: A Berkeley View of Cloud Computing, technical report,2009.
2. E. Arzuaga, D. R. Kaeli, Quantifying load imbalance on virtualized enterprise servers, in the proceedings of WOSP/SIPEW 10, January 28-30, 2010, San Jose, California, USA.
3. I. Foster, Y. ZHAO, I. RAICU, S. Lu, Cloud Computing and Grid Computing 360-Degree Compared, IEEE International Workshop on Grid Computing Environments (GCE) 2008, co-located with IEEE/ACM Supercomputing 2008.
4. R. L. Graham 1969. Bounds on Multiprocessing Timing Anomalies, SIAM Journal on Applied Mathematics, Vol.17, No.2. (Mar., 1969), pp.416-429.
5. A. Gulati, G. Shanmuganathan, A. Holler, I. Ahmad, Cloudscale resource management: challenges and techniques, VMware Technical Journal, 2011.
6. T. Knauth, C. Fetzer, Energy-aware Scheduling for Infrastructure Clouds, In the proceedings of CloudCom 2012.
7. J. Kleinberg, E. Tardos, Algorithm Design, Pearson Education Inc., 2005.
8. W. Tian, Y. Zhao, Y. Zhong, C. Jing, X. Sun, A Toolkit For Modeling and Simulation of Real-time Virtual Machine Allocation in a Cloud Data Center, IEEE Trans Automation Science and Engineering, DOI (identifier) 10.1109/TASE.2013. 2266338, Online First, July of 2013.
9. W. Tian, Y. Zhao,Y. Zhong, M. Xu, C. Jing, dynamic and integrated load-balancing scheduling algorithms for Cloud datacenters, China Communications, 2011, Vol. 8 Issue (6): 117-126.
10. W. Tian, X. Liu, C. Jin, Y. Zhong, LIF: A dynamic scheduling algorithm for Cloud data centers considering multi-dimensional resources, Journal of Information &Computational Science, Aug. 12, 2013, 10:12,pp.3925-3937.
11. T. Wood, et. al., Black-box and Gray-box Strategies for Virtual Machine Migration, in the proceedings of Symp. on Networked Systems Design and Implementation (NSDI), 2007.
12. Hebrew University, Experimental Systems Lab, www.cs.huji.ac.il/labs/ parallel/workload, 2013
13. Amazon, Amazon Elastic Compute Cloud, http://aws.amazon.com/ec2/, 2013