Resource Based Automatic Calibration System (RBACS) Using Kubernetes Framework

作     者：Tahir Alyas Nadia Tabassum Muhammad Waseem Iqbal Abdullah S.Alshahrani Ahmed Alghamdi Syed Khuram Shahzad 

作者机构：Department of Computer ScienceLahore Garrison UniversityLahore54000Pakistan Department of Computer Science&ITVirtual University of PakistanLahore54000Pakistan Department of Software EngineeringThe Superior UniversityLahore54000Pakistan Department of Computer Science&Artificial IntelligenceCollege of Computer Science&EngineeringUniversity of Jeddah21493Saudi Arabia Department of Software EngineeringCollege of Computer Science and EngineeringUniversity of Jeddah21493Saudi Arabia Department of Informatics&SystemsUniversity of Management&TechnologyLahore54000Pakistan 

出 版 物：《Intelligent Automation & Soft Computing》 (智能自动化与软计算（英文）)

年 卷 期：2023年第35卷第1期

页      面：1165-1179页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Docker container virtualization cloud resource kubernetes 

摘      要：Kubernetes,a container orchestrator for cloud-deployed applications,allows the application provider to scale automatically to match thefluctuating intensity of processing *** cluster technology is used to encapsulate,isolate,and deploy applications,addressing the issue of low system reliability due to interlocking ***-based platforms usually entail users define application resource supplies for eco container *** is a constant problem of over-service in data centers for cloud service *** operating costs and incompetent resource utilization can occur in a waste of *** revolutionized the orchestration of the container in the cloud-native *** can adaptively manage resources and schedule containers,which provide real-time status of the cluster at runtime without the user’s *** clusters face unpredictable traffic,and the cluster performs manual expansion configuration by the *** to operational delays,the system will become unstable,and the service will be *** work proposed an RBACS that vigorously amended the distribution of containers operating in the entire Kubernetes *** allocation pattern is analyzed with the Kubernetes *** estimate the overall cost of RBACS,we use several scientific benchmarks comparing the accomplishment of container to remote node migration and on-site *** experiments ran on the simulations to show the method’s effectiveness yielded high precision in the real-time deployment of resources in eco *** to the default baseline,Kubernetes results in much fewer dropped requests with only slightly more supplied resources.