Mr. Haitao Zhang Profile

Haitao Zhang

at Shenzhen Power Supply Bureau Co., Ltd

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 15 July 2022 Paper

Design of intelligent scheduling system for IT operation and maintenance services considering task duration

Haitao Zhang, Xuyong Wang

Proceedings Volume 12258, 122580J (2022) https://doi.org/10.1117/12.2639380

KEYWORDS: Information technology, Intelligence systems, Genetic algorithms, Data processing, Optimization (mathematics), Network security, Decision support systems, Stars, Data transmission, Data storage

Read 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.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

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:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years