Abstract
Cloud computing is popular in nowadays for its convenient and cheap. Grid provides services of available everywhere, and shares everyone. Therefore, smart grid cloud is a good way to manage data for sharing with all power supply stations. Grid cloud task scheduling is one of the key technologies that affect resource allocation efficiency in cloud computing environment. The advantages and disadvantages of scheduling algorithms will directly affect the scheduling performance of both cloud computing and the stability of the entire system platform. Cloud task scheduling problem has been proved to be a NP-hard problem, The traditional task scheduling algorithm can no longer meet the actual needs of cloud task scheduling, but the Heuristic algorithm is an effective method to solve this problem. This paper studies and analyzes the application of heuristic algorithms in cloud task scheduling problems, and proposes a cloud task scheduling strategy to minimize the task completion time and execution cost (MCTE) for the smart grid cloud. Then, carry out mathematical modeling on the grid cloud task scheduling problem. The experimental results show MCTE is well for the smart grid cloud.
Highlights
In recent years, with the rapid development of information technology and large-scale new-type Internet applications, people’s life in all areas, for example, electric power, has been producing a huge amount of data all the time, and more and more users need to share various resources through Internet technology, which leads to higher and higher requirements for the performance, transmission, storage and other hardware of computer data processing
Cloud task scheduling algorithm plays an important role in cloud computing system. It is one of the key technologies that affect the efficiency of information resource allocation in cloud computing environment
In order to address above problems, a cloud task scheduling strategy to minimize the task completion time and execution cost (MCTE) for the smart grid cloud is proposed in this paper
Summary
With the rapid development of information technology and large-scale new-type Internet applications, people’s life in all areas, for example, electric power, has been producing a huge amount of data all the time, and more and more users need to share various resources through Internet technology, which leads to higher and higher requirements for the performance, transmission, storage and other hardware of computer data processing. In the process of using cloud computing services, users do not need to care about how the system architecture of large and complex platforms is implemented They only need to submit their task requests to cloud computing through network [3]. Cloud task scheduling algorithm plays an important role in cloud computing system It is one of the key technologies that affect the efficiency of information resource allocation in cloud computing environment. An excellent task scheduling algorithm can make full use of virtual machine resources without wasting resources, at the same time, it can ensure that users can obtain better quality of service. In order to address above problems, a cloud task scheduling strategy to minimize the task completion time and execution cost (MCTE) for the smart grid cloud is proposed in this paper.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
