Title :
On Energy Efficiency Data Access and Backup for Cloud Computing Networks
Author_Institution :
Grad. Inst. of Inf. Manage., Nat. Taipei Univ., Taipei, Taiwan
Abstract :
One feature of cloud computing is to let users share data with each other at anytime from anywhere. How to reduce energy consumption has become an important research issue. This study considers the location-aware cloud storage (CS) selection to implement a remote data backup as a strategic to tackle energy efficiency. To satisfy the green computing, a tradeoff between user access (which locates in several locations) and backup (which stores the data at least in two data centers) were balanced to minimize the energy consumption. The objective of minimum energy consumption subjects to the required link and nodal capacity, service level, access proportion, delay, and CSs selection. This work has developed network, access distribution, delay, and energy consumption models as well as proposed a remote backup mechanism. The related methods, which are weighted access percentage CS (WAP), approximation method (AM), and group-based heuristic (GBH), are evaluated to show how the control variable affect the green cloud computing networks.
Keywords :
approximation theory; back-up procedures; cloud computing; energy conservation; energy consumption; green computing; mobile computing; AM; CS selection; GBH; WAP; access distribution; access proportion; approximation method; data centers; data sharing; delay; energy consumption minimization; energy efficiency data access; green cloud computing networks; green computing; group-based heuristic; link capacity; location-aware cloud storage; nodal capacity; remote data backup; service level; user access; weighted access percentage CS; Cascading style sheets; Cloud computing; Delays; Energy consumption; Power demand; Servers; Wireless application protocol; access distribution; cloud storage; energy efficency; quality of service; remote backup;
Conference_Titel :
Green Computing and Communications (GreenCom), 2013 IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing
Conference_Location :
Beijing
DOI :
10.1109/GreenCom-iThings-CPSCom.2013.239