Efficient optimal resource allocation for profit maximization in software defined network approach to improve quality of service in cloud environments

Abstract

Software-defined networking (SDR) technology is an approach to network management that enables dynamic, programmatically efficient network configuration in order to improve network performance and monitoring making it more like cloud computing than traditional network management. Cloud Resource scheduling is used to schedule the workload-based customer request. Here, cost effective resources allocation is introduced based on arriving request and cluster allocation. The profit maximizing scheme aims is to provide probabilistic guarantee against the resource overloading and migration. In this work, proposed software defined approach namely Modified Heuristic Search (MHS) Algorithm is proposed to achieve the cost-effective resources allocation in distributing computing environment to improve the Quality of Service in Cloud environment and its applications. To achieve the profit maximization, Cost Effective Reliable Resource allocation (CERRA) algorithm is utilized to measure the effective cluster selection in MHSA which includes a fitness function for selecting the arriving cloud requests to earn profit. Speed, transfer rate and energy are measured and compared with the existing method to analysis the resource allocation system.

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Correspondence to R. Divya.

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Divya, R., Jayanthi, V.E. Efficient optimal resource allocation for profit maximization in software defined network approach to improve quality of service in cloud environments. J Ambient Intell Human Comput (2020). https://doi.org/10.1007/s12652-020-02192-8

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Keywords

  • Software defined network (SDR)
  • QoS
  • Resource scheduling
  • Resource allocation
  • Profit maximizing
  • CERRA
  • MHSA
  • Cloud computing