On User Capacity Optimization Strategy of Server Computing Based Desktop Cloud

DOI

10.2991/ccis-13.2013.43How to use a DOI?

Keywords

desktop cloud; user capacity; performance optimization

Abstract

Cloud computing is an emerging technology. On the basis of intensive resource management and sharing, it provides on-demand resources to reduce costs and optimizes the IT services. Though the desktop cloud platform can allocate resource flexibly, its efficiency is restricted by the limited system resource. Firstly, the features of SBC mode in the desktop cloud platform are analyzed. Secondly, the SBC mode-based user Capacity evaluation strategy is introduced in order to formulate the calculation principle of the maximum number of users. Based on the maximum number of users, a user capacity decision-making strategy-User Capacity Strategy algorithm is introduced in order to solve the optimal user capacity problem in the desktop cloud platform. It has been applied to the telecom applications, and the experiment results show that it can efficiently determine the optimal user Capacity and improve the performance effectively.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Ningjiang Chen
AU  - Bin Xu
AU  - Dandan Hu
AU  - Yimin Wan
PY  - 2013/11
DA  - 2013/11
TI  - On User Capacity Optimization Strategy of Server Computing Based Desktop Cloud
BT  - Proceedings of the The 1st International Workshop on Cloud Computing and Information Security
PB  - Atlantis Press
SP  - 183
EP  - 186
SN  - 1951-6851
UR  - https://doi.org/10.2991/ccis-13.2013.43
DO  - 10.2991/ccis-13.2013.43
ID  - Chen2013/11
ER  -