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Open AccessArticle

v-Mapper: An Application-Aware Resource Consolidation Scheme for Cloud Data Centers

by Aaqif Afzaal Abbasi 1,* and Hai Jin 2,*
1
School of Computer Science, Wuhan University, Wuhan 430072, China
2
Services Computing Technology & System Laboratory, Cluster & Grid Computing Laboratory, Big Data Technology & System Laboratory, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
*
Authors to whom correspondence should be addressed.
This paper is an extended version of paper published in Proceedings of the 9th Asia-Pacific Services Computing Conference (APSCC’15), Bangkok, Thailand, 7–9 December 2015.
Future Internet 2018, 10(9), 90; https://doi.org/10.3390/fi10090090
Received: 21 July 2018 / Revised: 10 September 2018 / Accepted: 12 September 2018 / Published: 15 September 2018
Cloud computing systems are popular in computing industry for their ease of use and wide range of applications. These systems offer services that can be used over the Internet. Due to their wide popularity and usage, cloud computing systems and their services often face issues resource management related challenges. In this paper, we present v-Mapper, a resource consolidation scheme which implements network resource management concepts through software-defined networking (SDN) control features. The paper makes three major contributions: (1) We propose a virtual machine (VM) placement scheme that can effectively mitigate the VM placement issues for data-intensive applications; (2) We propose a validation scheme that will ensure that a cloud service is entertained only if there are sufficient resources available for its execution and (3) We present a scheduling policy that aims to eliminate network load constraints. We tested our scheme with other techniques in terms of average task processing time, service delay and bandwidth usage. Our results demonstrate that v-Mapper outperforms other techniques and delivers significant improvement in system’s performance. View Full-Text
Keywords: network; systems; cloud computing; data center; performance; software-defined; virtual machine; scheduling; admission control; application-aware network; systems; cloud computing; data center; performance; software-defined; virtual machine; scheduling; admission control; application-aware
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Abbasi, A.A.; Jin, H. v-Mapper: An Application-Aware Resource Consolidation Scheme for Cloud Data Centers. Future Internet 2018, 10, 90.

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