.png){kind=icon}
Return
Optimization in distributed information systems
.png){kind=icon}
PRE
AI
DOI：10.1016/j.jocs.2018.04.020.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
In past decades, intensive attention has been drawn towards the optimization problem, such as task scheduling, resource allocation and network traffic management, in distributed information systems. However, the rapid increases in the scale of physical devices and types of applications in distributed information systems make the system more difficult to be operated and managed. Optimizing the system performance is an ongoing challenging and important issue. This special issue reports twelve high-quality contributions on solving the challenging optimization problems in distributed information systems. (C) 2018 Published by Elsevier B.V.
Keywords:
CLOUDS
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
18.3
Papers:
3.1K
Citations:
4.0K
Organization
Cited Papers
.png){kind=icon}
A hybrid game method for interference management with energy constraint in 5G ultra-dense HetNets
PREAI
ShareSaveShareSaveAQP plus plus : a hybrid approximate query processing framework for generalized aggregation queries
PREAI
ShareSaveShareSave
View more