QoS-aware dynamic resource management in heterogeneous mobile cloud computing networks

2014 ◽  
Vol 11 (5) ◽  
pp. 144-159 ◽  
Author(s):  
Pengbo Si ◽  
Qian Zhang ◽  
F. Richard Yu ◽  
Yanhua Zhang
Keyword(s):  
Cloud Computing ◽  
Resource Management ◽  
Mobile Cloud Computing ◽  
Mobile Cloud ◽  
Dynamic Resource Management ◽  
Dynamic Resource

Mobile Cloud Resource Management

2016 ◽  
pp. 1747-1773
Author(s):  
Konstantinos Katzis
Keyword(s):  
Cloud Computing ◽  
Resource Management ◽  
Mobile Cloud Computing ◽  
Finite Energy ◽  
Cloud Services ◽  
Mobile Cloud ◽  
Seamless Integration ◽  
Cloud Resource Management ◽  
Cloud Resource ◽  
Management Techniques

Providing mobile cloud services requires seamless integration between various platforms to offer mobile users optimum performance. To achieve this, many fundamental problems such as bandwidth availability and reliability, resource scarceness, and finite energy must be addressed before rolling out such services. This chapter aims to explore technological challenges for mobile cloud computing in the area of resource management focusing on both parts of the infrastructure: mobile devices and cloud networks. Starting with introducing mobile cloud computing, it then stresses the importance of resource management in the operation of mobile cloud services presenting various types of resources available for cloud computing. Furthermore, it examines the various types of resource management techniques available for mobile clouds. Finally, future directions in the field of resource management for mobile cloud computing environment are presented.

Agent-Based Resource Management for Mobile Cloud

2016 ◽  
pp. 200-216
Author(s):  
Zhili Sun ◽  
Yichao Yang ◽  
Yanbo Zhou ◽  
Haitham Cruickshank
Keyword(s):  
Cloud Computing ◽  
Resource Management ◽  
Mobile Cloud Computing ◽  
Mobile Network ◽  
Mobile Cloud ◽  
Mobile Environment ◽  
Agent Architectures ◽  
Agent Based ◽  
Multiple Data ◽  
User Demand

Mobile cloud computing is a new computing paradigm to integrate cloud computing technology into the mobile environment. It takes full advantages of cloud computing with great potential to transform a large part of the IT industry. The objectives of mobile cloud computing are to meet user demand, efficiently utilize a pool of resources, including mobile network, storage, and computation resources, and optimize energy on mobile devices. Here, the authors review the current mobile cloud computing technologies, highlight the main issues and challenges for the future development, and focus on resource management. Then, combining the current agent architectures and resource optimization strategies, they present an agent-based resource management to deal with multiple data and computation intensive applications of user demand. The chapter offers a promising solution of selecting the best service provider and efficiently utilizing mobile network resources given the user's request constraint.

Agent-Based Resource Management for Mobile Cloud

2016 ◽  
pp. 290-306 ◽  
Author(s):  
Zhili Sun ◽  
Yichao Yang ◽  
Yanbo Zhou ◽  
Haitham Cruickshank
Keyword(s):  
Cloud Computing ◽  
Resource Management ◽  
Mobile Cloud Computing ◽  
Mobile Network ◽  
Mobile Cloud ◽  
Mobile Environment ◽  
Agent Architectures ◽  
Agent Based ◽  
Multiple Data ◽  
User Demand

Mobile cloud computing is a new computing paradigm to integrate cloud computing technology into the mobile environment. It takes full advantages of cloud computing with great potential to transform a large part of the IT industry. The objectives of mobile cloud computing are to meet user demand, efficiently utilize a pool of resources, including mobile network, storage, and computation resources, and optimize energy on mobile devices. Here, the authors review the current mobile cloud computing technologies, highlight the main issues and challenges for the future development, and focus on resource management. Then, combining the current agent architectures and resource optimization strategies, they present an agent-based resource management to deal with multiple data and computation intensive applications of user demand. The chapter offers a promising solution of selecting the best service provider and efficiently utilizing mobile network resources given the user's request constraint.

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