CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 12258 > Article
Paper
15 July 2022 Design of intelligent scheduling system for IT operation and maintenance services considering task duration
Haitao Zhang, Xuyong Wang
Author Affiliations +
Proceedings Volume 12258, International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022); 122580J (2022) https://doi.org/10.1117/12.2639380
Event: International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022), 2022, Qingdao, China
Abstract
Aiming at the high cost of existing IT operation and maintenance services, an intelligent scheduling system based on task duration was designed. By studying the separable task scheduling in a homogeneous system environment, for a homogeneous star network, comparative analysis of the relationship between the busy state to the idle state, the continuous transmission of transmission tasks, the release time of mixed timing constraints and the time of receiving tasks, is used to This builds a separable task scheduling model. The genetic algorithm is used to optimally solve the scheduling model. Considering the existence and universality of heterogeneous platforms in the actual parallel and distributed system environment, the task scheduling situation of the processor in the heterogeneous star network environment is researched and analyzed. . According to the mixed timing constraints, a task scheduling optimization model in a heterogeneous system environment is constructed, and the genetic algorithm is improved to solve the problem. Due to the enlargement of the problem search space, the local search operator is used to converge the algorithm. The results show that compared with several existing scheduling algorithms, the algorithm proposed in this paper can obtain a better scheduling scheme, so the designed intelligent scheduling system is practical.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Haitao Zhang and Xuyong Wang "Design of intelligent scheduling system for IT operation and maintenance services considering task duration", Proc. SPIE 12258, International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022), 122580J (15 July 2022); https://doi.org/10.1117/12.2639380
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
INSTITUTIONAL
Select your institution to access the SPIE Digital Library.
SELECT YOUR INSTITUTION
PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
PERSONAL SIGN IN
No SPIE Account? Create one
PURCHASE THIS CONTENT
SUBSCRIBE TO DIGITAL LIBRARY
50 downloads per 1-year subscription
Members: $195
Non-members: $335 ADD TO CART
25 downloads per 1 - year subscription
Members: $145
Non-members: $250 ADD TO CART
PURCHASE SINGLE ARTICLE
Includes PDF, HTML & Video, when available
Members: $17.00
Non-members: $21.00 ADD TO CART
PROCEEDINGS
 13 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Information technology
Intelligence systems
Data processing
Genetic algorithms
Decision support systems
Network security
Optimization (mathematics)
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top