Muhammad Nura Yusuf, Kamalrulnizam bin Abu Bakar, Babangida Isyaku, Ajibade Lukuman Saheed
{"title":"Review of Path Selection Algorithms with Link Quality and Critical Switch Aware for Heterogeneous Traffic in SDN","authors":"Muhammad Nura Yusuf, Kamalrulnizam bin Abu Bakar, Babangida Isyaku, Ajibade Lukuman Saheed","doi":"10.32985/ijeces.14.3.12","DOIUrl":null,"url":null,"abstract":"Software Defined Networking (SDN) introduced network management flexibility that eludes traditional network architecture. Nevertheless, the pervasive demand for various cloud computing services with different levels of Quality of Service requirements in our contemporary world made network service provisioning challenging. One of these challenges is path selection (PS) for routing heterogeneous traffic with end-to-end quality of service support specific to each traffic class. The challenge had gotten the research community's attention to the extent that many PSAs were proposed. However, a gap still exists that calls for further study. This paper reviews the existing PSA and the Baseline Shortest Path Algorithms (BSPA) upon which many relevant PSA(s) are built to help identify these gaps. The paper categorizes the PSAs into four, based on their path selection criteria, (1) PSAs that use static or dynamic link quality to guide PSD, (2) PSAs that consider the criticality of switch in terms of an update operation, FlowTable limitation or port capacity to guide PSD, (3) PSAs that consider flow variabilities to guide PSD and (4) The PSAs that use ML optimization in their PSD. We then reviewed and compared the techniques' design in each category against the identified SDN PSA design objectives, solution approach, BSPA, and validation approaches. Finally, the paper recommends directions for further research.","PeriodicalId":41912,"journal":{"name":"International Journal of Electrical and Computer Engineering Systems","volume":" ","pages":""},"PeriodicalIF":0.8000,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Electrical and Computer Engineering Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32985/ijeces.14.3.12","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 1
Abstract
Software Defined Networking (SDN) introduced network management flexibility that eludes traditional network architecture. Nevertheless, the pervasive demand for various cloud computing services with different levels of Quality of Service requirements in our contemporary world made network service provisioning challenging. One of these challenges is path selection (PS) for routing heterogeneous traffic with end-to-end quality of service support specific to each traffic class. The challenge had gotten the research community's attention to the extent that many PSAs were proposed. However, a gap still exists that calls for further study. This paper reviews the existing PSA and the Baseline Shortest Path Algorithms (BSPA) upon which many relevant PSA(s) are built to help identify these gaps. The paper categorizes the PSAs into four, based on their path selection criteria, (1) PSAs that use static or dynamic link quality to guide PSD, (2) PSAs that consider the criticality of switch in terms of an update operation, FlowTable limitation or port capacity to guide PSD, (3) PSAs that consider flow variabilities to guide PSD and (4) The PSAs that use ML optimization in their PSD. We then reviewed and compared the techniques' design in each category against the identified SDN PSA design objectives, solution approach, BSPA, and validation approaches. Finally, the paper recommends directions for further research.
期刊介绍:
The International Journal of Electrical and Computer Engineering Systems publishes original research in the form of full papers, case studies, reviews and surveys. It covers theory and application of electrical and computer engineering, synergy of computer systems and computational methods with electrical and electronic systems, as well as interdisciplinary research. Power systems Renewable electricity production Power electronics Electrical drives Industrial electronics Communication systems Advanced modulation techniques RFID devices and systems Signal and data processing Image processing Multimedia systems Microelectronics Instrumentation and measurement Control systems Robotics Modeling and simulation Modern computer architectures Computer networks Embedded systems High-performance computing Engineering education Parallel and distributed computer systems Human-computer systems Intelligent systems Multi-agent and holonic systems Real-time systems Software engineering Internet and web applications and systems Applications of computer systems in engineering and related disciplines Mathematical models of engineering systems Engineering management.