Resource Management for Future Green Mobile Cloud Computing
Publication Date
1-1-2022
Document Type
Contribution to a Book
Publication Title
Green Mobile Cloud Computing
DOI
10.1007/978-3-031-08038-8_14
First Page
283
Last Page
295
Abstract
The number of mobile devices and the complexity of mobile applications have grown in recent years. While mobile devices have become more powerful, they still have limited computational power and battery capacity comparing to stationary computers. A growing number of applications demand extensive computation while also requiring real-time responses that cannot be satisfied by mobile devices alone. They require offloading of these application workloads into a cloud for processing, maybe through edge or fog node. With the energy and battery power limitation in mobile devices, along with the call for energy saving in data centers world-wide, green mobile cloud computing (GMCC) has become a timely, critical research focus. Different mobile cloud computing (MCC) architectures have been proposed to address these challenges. This chapter presents an overview of research in resource management in the traditional central cloud, the new emerging fog/edge, and peer-to-peer architectures.
Keywords
Energy consumption, Fog computing, Mobile cloud computing (MCC), Mobile edge computing, On-demand fog formation, Resource management
Department
Computer Science
Recommended Citation
Mariia Surmenok, Melody Moh, and Teng Sheng Moh. "Resource Management for Future Green Mobile Cloud Computing" Green Mobile Cloud Computing (2022): 283-295. https://doi.org/10.1007/978-3-031-08038-8_14
