Cloud computing systems are popular in computing industry for their ease of use and wide\nrange of applications. These systems offer services that can be used over the Internet. Due to their\nwide popularity and usage, cloud computing systems and their services often face issues resource\nmanagement related challenges. In this paper, we present v-Mapper, a resource consolidation\nscheme which implements network resource management concepts through software-defined\nnetworking (SDN) control features. The paper makes three major contributions: (1) We propose a\nvirtual machine (VM) placement scheme that can effectively mitigate the VM placement issues for\ndata-intensive applications; (2) We propose a validation scheme that will ensure that a cloud service\nis entertained only if there are sufficient resources available for its execution and (3) We present a\nscheduling policy that aims to eliminate network load constraints. We tested our scheme with other\ntechniques in terms of average task processing time, service delay and bandwidth usage. Our results\ndemonstrate that v-Mapper outperforms other techniques and delivers significant improvement in\nsystemâ??s performance.
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