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

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 re...

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Vydáno v:Future internet Ročník 10; číslo 9; s. 90
Hlavní autoři: Abbasi, Aaqif Afzaal, Jin, Hai
Médium: Journal Article
Jazyk:angličtina
Vydáno: Basel MDPI AG 01.09.2018
Témata:
admission control
Alliances
application-aware
Cloud computing
Computer centers
Computer science
Computers
Consolidation
Costs
Customer services
data center
Data centers
Delivery scheduling
International conferences
Internet
Laboratories
Multimedia
network
Placement
Resource management
scheduling
Scientometrics
Small & medium sized enterprises-SME
Software
Software services
software-defined
Software-defined networking
systems
Traffic control
Virtual environments
virtual machine
Workloads
China
ISSN:1999-5903, 1999-5903
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Shrnutí: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.
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ISSN:1999-5903
1999-5903
DOI:10.3390/fi10090090