VM Migration Approach for Autonomic Fault Tolerance in Cloud Computing

VM Migration for Autonomic Fault Tolerance provides the continuous availability for applications in the event of virtual machine failures along with the benefits of improved performance and manageability. Multipath correlation coefficient approach for VM migration has been proposed, which takes into account the overutilization of CPU without performance degradation based on work variability. The proposed approach has been validated through CloudSim toolkit. The experimental results demonstrate that the proposed approach is effective for handling VM migration or VM Reallocation. Further the proposed algorithm considerably reduces the VM Reallocation execution time, VM Reallocation time standard deviation and number of VM migrations. Keywords—VM Migration, autonomic, fault tolerance, cloud computing, overutilization.

[1]  Hervé Abdi Multiple Correlation Coefficient , 2006 .

[2]  W. Cleveland Robust Locally Weighted Regression and Smoothing Scatterplots , 1979 .

[3]  Jun Yan,et al.  A Network-aware Virtual Machine Placement and Migration Approach in Cloud Computing , 2010, 2010 Ninth International Conference on Grid and Cloud Computing.

[4]  Xiaorui Wang,et al.  Server-Level Power Control , 2007, Fourth International Conference on Autonomic Computing (ICAC'07).

[5]  Gargi Dasgupta,et al.  Server Workload Analysis for Power Minimization using Consolidation , 2009, USENIX Annual Technical Conference.

[6]  Leon Gommans,et al.  Seamless live migration of virtual machines over the MAN/WAN , 2006, Future Gener. Comput. Syst..

[7]  Rajkumar Buyya,et al.  Managing Overloaded Hosts for Dynamic Consolidation of Virtual Machines in Cloud Data Centers under Quality of Service Constraints , 2013, IEEE Transactions on Parallel and Distributed Systems.

[8]  Andrew Warfield,et al.  Live migration of virtual machines , 2005, NSDI.

[9]  Rajkumar Buyya,et al.  Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing , 2012, Future Gener. Comput. Syst..

[10]  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..

[11]  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..