Author(s)

G. Soniya Priyatharsini, N. Malarvizhi

Department of Computer Science and Engineering, Veltech Dr. RR & Dr. SR Technical University, Chennai, India.

In cloud computing, server consolidation is the part where very few persons go through the same. By consolidating the unused server space, memory can be reused for another data allocation. The objective of this paper is to improve resource utilization. Residual resource fragmentation refers to the state of the data center where sufficient amount of residual resources are available for any new VM allocation. To achieve this, there are three methods followed here. Active physical servers are identified. Then the maximum utilization of the resources is found out. Finally the resources are allocated and scheduled using the developed algorithm. In this work, we have proposed a new algorithm enhanced cloud consolidating algorithm. This algorithm improves some of the qualities of the cloud consolidating algorithm. Here the allocation technique is based on the cost and the memory.

Server Consolidation, Residual Resource Defragmentation, Server Sprawl, Resource Pooling

Priyatharsini, G. and Malarvizhi, N. (2016) Residual Resource Defragmentation Based on ECRC (Enhanced Cloud Resource Consolidating). Circuits and Systems, 7, 3121-3130. doi: 10.4236/cs.2016.710265.