Abstract
Load balancing problems play a special role in the operation of parallel and distribution systems. The core technology of load balancing is the task scheduling. In order to achieve equally distribute the load on processors and maximize their utilities while minimizing the total task execution time, this article analyses a large number of data retrieval requests content. It shows different tasks have different resource occupation rate on the server node and the current server load is also different. The demand of different task types on CPU and I/O resources are not same. So, this paper presents a dynamic load balancing algorithm which is based on task classification, and applies it to the cluster system data retrieval.
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.
