Distributed mobile cloud computing: Joint optimization of radio and computational resources

2014 IEEE Globecom Workshops, GC Wkshps 2014

Volumn , Issue , 2014, Pages 1505-1510

  Sardellitti, S ^a   Barbarossa, S ^a   Scutari, G ^b  

^a SAPIENZA UNIVERSITY OF ROME   (Italy)

^b the State University of New York   (United States)

Author keywords

Cloud computing; Computation offloading; Distributed resource allocation; Successive convex approximation

Indexed keywords

ALGORITHMS; APPROXIMATION ALGORITHMS; CLOUD COMPUTING; ENERGY UTILIZATION; ITERATIVE METHODS; MOBILE CLOUD COMPUTING; MOBILE DEVICES; MOBILE TELECOMMUNICATION SYSTEMS; OPTIMIZATION; QUALITY OF SERVICE;

COMPUTATION OFFLOADING; COMPUTATIONAL RESOURCES; DISTRIBUTED RESOURCE ALLOCATION; LATENCY CONSTRAINTS; LOCAL OPTIMAL SOLUTION; OPTIMIZATION PROBLEMS; QUALITY OF EXPERIENCE (QOE); SUCCESSIVE CONVEX APPROXIMATIONS;

BASE STATIONS;

EID: 84946691532     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/GLOCOMW.2014.7063647     Document Type: Conference Paper

References (11)

1. E. Cuervo, A. Balasubramanian, D. Cho, A. Wolman, S. Saroiu, R. Chandra, and P. Bahl, "MAUI: Making smartphones last longer with code offload," Proc. of the ACM Int. Conf. on Mobile Systems, Applications, and Services, pp. 49-62, San Francisco, CA, USA, 15-18 June 2010.
2. S. Kosta, A. Aucinas, P. Hui, R. Mortier, X. Zhang, "ThinkAir: Dynamic resource allocation and parallel execution in the cloud for mobile code offloading," Proc. of INFOCOM 2012, pp. 945-953, March 2012.
3. N. Fernando, S. W. Loke, W. Rahayu, "Mobile cloud computing: A survey," Future Generation Computer Systems, vol. 29, pp. 84-106, Jan. 2013.
4. M. Satyanarayanan, P. Bahl, R. Caceres, N. Davies, "The case for VMbased cloudlets in mobile computing," IEEE Pervasive Computing, pp. 14-23, Oct.-Dec. 2009.
5. FP7 European Project. (2012). Distributed computing, storage and radio resource allocation over cooperative femtocells (TROPIC). [Online]. Available: Http://www.ict-tropic.eu.
6. S. Barbarossa, S. Sardellitti and P. Di Lorenzo, "Joint allocation of computation and communication resources in multiuser mobile cloud computing," Proc. of IEEE 2013 Int. Workshop on Signal Process. Advances in Wireless Commun. (SPAWC '13), Darmstadt, Germany, 16-19 June 2013.
7. S. Sardellitti, G. Scutari, and S. Barbarossa,"Joint optimization of radio and computational resources for multicell MIMO mobile cloud computing," Proc. of IEEE 2014 Int. Workshop on Signal Process. Advances in Wireless Commun. (SPAWC '14), Toronto, Canada, 22-25 June 2014.
8. S. Sardellitti, G. Scutari, and S. Barbarossa,"Distributed joint optimization of radio and computational resources for mobile cloud computing," Proc. of IEEE Int. Conf. on Cloud Networking (CloudNet), Luxembourg, 8-10 October 2014.
9. G. Scutari, F. Facchinei, P. Song, D.P. Palomar, and J.-S. Pang, "Decomposition by partial linearization: Parallel optimization of multi-agent systems," IEEE Trans. on Signal Process., vol. 63, no. 3, pp. 641-656, Feb. 2014.
10. G. Scutari, F. Facchinei, L. Lampariello, and P. Song, "Parallel and distributed methods for nonconvex optimization," Proc. of IEEE Int. Conf. on Acoustics, Speech, and Signal Process. (ICASSP '14), Florence, Italy, 4-9 May 2014,.
11. G. Scutari, F. Facchinei, L. Lampariello, and P. Song, "Parallel and distributed methods for nonconvex optimization-Part I&II: Theory & Applications," IEEE Trans. on Signal Process., (under review) 2014.