A User Model-Based Resource Scheduling Framework

In traditional resource scheduling algorithms, hardware condition and network performance, such as CPU, storage space, network bandwidth and delay, play important roles. In previous studies, researchers have ignored imbalance of resource requirement of different user who has special interest affecti...

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Bibliographic Details
Published in2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing pp. 2214 - 2217
Main Authors Guannan Hu, Wenhao Zhu, Kangkang Niu, Wu Zhang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2013
Subjects
Analytical models
Educational institutions
Hardware
Processor scheduling
resource scheduling
Scheduling
server pushing policy
Servers
user model
Vectors
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Summary:In traditional resource scheduling algorithms, hardware condition and network performance, such as CPU, storage space, network bandwidth and delay, play important roles. In previous studies, researchers have ignored imbalance of resource requirement of different user who has special interest affecting the quality of service. In this paper, we present a User Model-based Resource Scheduling (UMRS) framework, which allocates storage resources according to both user information and hardware condition. By predicting the interest of user and pushing possible desired resource to user node or nodes nearby actively, the overall schedule performance can be improved.
DOI:10.1109/GreenCom-iThings-CPSCom.2013.418