NDLI: Distributed joint optimization of radio and computational resources for mobile cloud computing

Content Provider	IEEE Xplore Digital Library
Author	Sardellitti, S. Scutari, G. Barbarossa, S.
Copyright Year	2014
Description	Author affiliation: Dept. of Inf. Eng., Sapienza Univ. of Rome, Rome, Italy (Sardellitti, S.; Barbarossa, S.) \|\| Dept. of Electr. Eng., State Univ. of New York at Buffalo, Buffalo, NY, USA (Scutari, G.)
Abstract	Mobile computation offloading of computational intensive tasks from mobile devices to surrogate cloud servers has been recently envisaged as a promising technique to enhance the computational capacity of the mobile devices. Within this framework we consider a MIMO multicell system wherein several Mobile Users (MUs) ask for computation offloading to a common cloud server through their femto-access points. We formulate the computation offloading problem as a joint optimization of the radio and computational resources in order to minimize the overall users' energy consumption while meeting the latency constraints imposed by the applications. To solve this non-convex problem we hinge on successive convex approximation techniques by showing that the original problem can be decomposed in parallel convex subproblems. Hence we devise an iterative algorithm which can be implemented in a distributed manner across the access points through dual/primal decomposition techniques requiring limited coordination/signaling with the cloud.
Starting Page	211
Ending Page	216
File Size	536057
Page Count	6
File Format	PDF
ISBN	9781479927302
DOI	10.1109/CloudNet.2014.6968994
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-08
Publisher Place	Luxembourg
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cloud computing Computation offloading Artificial neural networks Mobile communication Linear programming Approximation methods Servers Successive convex approximation Covariance matrices Optimization Distributed resource allocation
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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