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Volumn , Issue , 2014, Pages 211-216

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

Author keywords

cloud computing; Computation offloading; distributed resource allocation; successive convex approximation

Indexed keywords

CLOUD COMPUTING; ENERGY UTILIZATION; FEMTOCELL; MOBILE CLOUD COMPUTING; MOBILE TELECOMMUNICATION SYSTEMS;

EID: 84925882926     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CloudNet.2014.6968994     Document Type: Conference Paper
Times cited : (19)

References (14)
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  • 2
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    • Parallel and distributed methods for nonconvex optimization
    • Florence, Italy, May
    • G. Scutari, F. Facchinei, L. Lampariello, and P. Song, "Parallel and distributed methods for nonconvex optimization," Proc. of ICASSP 2014, Florence, Italy, May 2014.
    • (2014) Proc. of ICASSP 2014
    • Scutari, G.1    Facchinei, F.2    Lampariello, L.3    Song, P.4
  • 10
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    • Decomposition by partial linearization: Parallel optimization of multiagent systems
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    • G. Scutari, F. Facchinei, P. Song, D. P. Palomar, and J.-S. Pang, "Decomposition by partial linearization: Parallel optimization of multiagent systems," IEEE Trans. on Signal Process., vol. 63, no. 3, pp. 641-656, Feb. 2014.
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  • 12
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    • Joint optimization of radio and computational resources for multicell mobile cloud computing
    • submitted to
    • S. Sardellitti, G. Scutari, S. Barbarossa, "Joint optimization of radio and computational resources for multicell mobile cloud computing," submitted to IEEE Trans. on Signal Process., 2014.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.