Resource optimization in edge and SDN-based edge computing: a comprehensive study


연구 분야: Networking



학회: Cluster Computing


초록

The proliferation of mobile devices and the increasing use of networked applications have generated enormous data that require real-time processing and low-latency responses. For real-time applications, Edge Computing (EC) gained a lot of attention which helps to overcome the challenges with traditional computing systems. There is a massive growth of data generated at the web edge, but its limited computing resources and boundary dynamics pose significant challenges. For proficient resource utilization and network management, Software-Defined Networks (SDN) integration with EC can provide control and programmability in edge networking management. However, the optimization of resources is a fundamental need and challenge of EC based on SDN. Besides, the utilization of SDN in EC deals with a centralized and distributed infrastructure further enables the processing of data in closer proximity to its origin and helps in the growing demand for efficient and high-performance computing systems. This study presents a systematic review of the current state-of-the-art pertaining to resource optimization in EC and its integration with SDN. The review of challenges, benefits, and various proposed methodologies for managing resources in Edge and SDN-based Edge environments are investigated. This paper offers valuable insights into the current state and future directions of Edge, SDN-based EC systems, which can assist organizations in designing and deploying more efficient resource consumption solutions


Author Profile
Ajay Nain

Department of Computer Application Lovely Professional University Phagwara Punjab 144411 India

India
Author Profile
Sophiya Sheikh

Department of Computer Application Lovely Professional University Phagwara Punjab 144411 India

India
Author Profile
Mohammad Shahid

Department of Commerce Aligarh Muslim University Aligarh Uttar Pradesh 202002 India

India

📄 논문 정보

발행 연도 2024년
인용수 10
출판 국가 India
사이트 Springer
좋아요 수 0

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