TCP acceleration technology for cloud computing: Algorithm, performance evaluation in real network

Author(s):  
Takashi Isobe ◽  
Naoki Tanida ◽  
Yuji Oishi ◽  
Kenichi Yoshida
2013 ◽  
Author(s):  
Denghui Wang ◽  
Hao Huang ◽  
Changsheng Xie

Author(s):  
Zhefu Shi ◽  
Cory Beard

Mobile Cloud Computing (MCC) integrates cloud computing into the mobile environment and overcomes obstacles related to performance (e.g., bandwidth, throughput) and environment (e.g., heterogeneity, scalability, and availability). Quality of Service (QoS), such as end-to-end delay, packet loss ratio, etc., is vital for MCC applications. In this chapter, several important approaches for performance evaluation in MCC are introduced. These approaches, such as Markov Processes, Scheduling, and Game Theory, are the most popular methodologies in current research about performance evaluation in MCC. QoS is special in MCC compared to other environments. Important QoS problems with details in MCC and corresponding designs and solutions are explained. This chapter covers the most important research problems and current status related to performance evaluation and QoS in MCC.


Sign in / Sign up

Export Citation Format

Share Document