Paper Info
Title
A novel allocation strategy for virtual machines in software defined data center
Abstract
Cloud Data Center (DC) service orchestration and resource management are important applications of the Software Defined Networking (SDN) paradigm. In this paper, we introduce a novel dynamic allocation strategy for Virtual Machine (VM) allocation called Enhanced multi-objective Worst Fit (E-WF). E-WF combines the multi-objective Best Fit and Worst Fit allocation strategies, and it exploits the history of the previous requests to limit the resource fragmentation. We allocate the VMs choosing jointly a server and the least power-consuming network path. We show in our simulations that E-WF performs better and allocates more VMs with respect to the other presented approaches, and the power-aware network path allocation reduces the power consumption of network devices with respect to the classical shortest path first routing algorithm.
Year
DOI
Venue
2017
10.1109/NFV-SDN.2017.8169873
2017 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)
Keywords
Field
DocType
Software Defined Networking,Cloud Computing,Data Center,Virtual Machine,Orchestration,Multi-Objective optimization,Resources allocation,Best Fit,Worst Fit,Pareto front
Resource management,Virtual machine,Shortest path problem,Computer science,Server,Networking hardware,Software-defined networking,Orchestration (computing),Software-defined data center,Distributed computing
Conference
ISBN
Citations 
PageRank 
978-1-5386-3286-4
0
0.34
References 
Authors
11
4
Name
Order
Citations
PageRank
Giuseppe Portaluri100.68
Davide Adami210319.32
Stefano Giordano360986.56
Michele Pagano419831.51