Collaborative adaptive scheduling scheme for multi-source big data tasks in the cloud

Lizi Zheng III; Delong Cui

doi:10.1117/12.2536287

27 November 2019 Collaborative adaptive scheduling scheme for multi-source big data tasks in the cloud

Lizi Zheng III, Delong Cui

Proceedings Volume 11321, 2019 International Conference on Image and Video Processing, and Artificial Intelligence; 113212V (2019) https://doi.org/10.1117/12.2536287
Event: The Second International Conference on Image, Video Processing and Artifical Intelligence, 2019, Shanghai, China

Abstract

With the arrival of big data age, workflow applications are transferring from original infrastructure to more efficient, reliable and affordable cloud computing platforms. Focusing on fine-grained big data tasks schedule in cloud computing environment, we proposed a novel collaborative adaptive algorithm based on reinforcement learning in this paper. Experiment results demonstrate the efficiency of the collaborative adaptive scheduling scheme.

Citation Download Citation

Lizi Zheng III and Delong Cui "Collaborative adaptive scheduling scheme for multi-source big data tasks in the cloud", Proc. SPIE 11321, 2019 International Conference on Image and Video Processing, and Artificial Intelligence, 113212V (27 November 2019); https://doi.org/10.1117/12.2536287

ACCESS THE FULL ARTICLE

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