A Resource Management Protocol for Mobile Cloud Using Auto-Scaling

نویسندگان

  • Chathura M. Sarathchandra Magurawalage
  • Kun Yang
  • Ritosa Patrik
  • Michael Georgiades
  • Kezhi Wang
چکیده

Cloud radio access network (C-RAN) and Mobile Cloud Computing (MCC) have emerged as promising candidates for the next generation access network techniques. MCC offers resource limited mobile devices to offload computationally intensive tasks to the cloud, while C-RAN offers a technology that addresses increasing mobile traffic. In this paper, we propose a protocol that allows task offloading and managing resources in both C-RAN and mobile cloud together using a centralised controller. Experiments on resource management using cloud auto-scaling shows that resource (CPU, RAM, Storage) scaling times vary.

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عنوان ژورنال:
  • CoRR

دوره abs/1701.00384  شماره 

صفحات  -

تاریخ انتشار 2017