Design And Implementation Of Cloud Task Resource Scheduling Platform Based On CloudSim

With its advantages of ultra-large scale,virtualization,and high reliability,cloud computing has a highly targeted solution in the application scenarios where server performance requirements are rapidly changing.Although these solutions can save a large part of the hardware overhead,if the task size cannot be accurately estimated and the task cannot be effectively scheduled,it is still difficult to avoid more serious computing power and waste of storage resources.Therefore,how to properly schedule cloud computing tasks and efficiently allocate computing resources under the condition of minimal overhead has become an urgent problem to be solved in the current development stage.Based on the research on the characteristics,composition and architecture of cloud computing technology,this paper analyzes the existing open source cloud task simulation platform in detail,and develops a new universal cloud task scheduling simulation platform based on the new cloud computing simulation framework CloudSim.The existing simulation tools have defects in versatility and ease of use,and realize the simulation scheduling of cloud tasks.At the same time,the typical scheduling algorithms in the existing similar platforms are studied and analyzed in detail,some algorithms are implemented and integrated,and built into the developed simulation tools.A visual graphical operation interface was developed together,and the simulation results were presented to the user in the form of a graph.Compared with existing simulation tools,the tools in this article provide a more intuitive and detailed task simulation process and provide users with a good user experience.After testing,the platform completely restores the real operating environment,simplifies the business process of the existing simulation platform,makes the user operation closer to the core functions,and has more efficient built-in algorithms,whichcan be switched in real time according to differentiated business needs..The simulation results are in line with the actual situation.The completed system can not only provide the user with the task operation details and estimation result analysis of the cloud task scheduling,but also save most of the hardware cost and meet the requirements of the user before deploying the task in the real cloud environment.The scheduling process is required to adjust and optimize.