Energy-Efficient Adaptive Resource Management for Real-Time Vehicular Cloud Services

IEEE Transactions on Cloud Computing

Volumn 7, Issue 1, 2019, Pages 196-209

  Shojafar, Mohammad ^a   Cordeschi, Nicola ^a   Baccarelli, Enzo ^a  

^a SAPIENZA UNIVERSITY OF ROME   (Italy)

Author keywords

adaptive resource management; cognitive computing; energy efficiency; TCP IP based vehicular cloud computing; virtualized fog centers

Indexed keywords

BINARY ALLOYS; DISTRIBUTED DATABASE SYSTEMS; ELECTRIC LOAD DISPATCHING; FOG; FOG COMPUTING; GREEN COMPUTING; INFORMATION SERVICES; INTERNET PROTOCOLS; JITTER; NATURAL RESOURCES MANAGEMENT; QUALITY OF SERVICE; RESOURCE ALLOCATION; SCHEDULING; TRANSMISSION CONTROL PROTOCOL; WEB SERVICES;

ADAPTIVE RESOURCE MANAGEMENT; COGNITIVE COMPUTING; DATA DISSEMINATION; HARD QOS GUARANTEES; SCALABLE IMPLEMENTATION; TCP/IP CONNECTIONS; VEHICULAR CLOUDS; VIRTUALIZED FOG CENTERS;

ENERGY EFFICIENCY;

EID: 85057957993     PISSN: None     EISSN: 21687161     Source Type: Journal    
DOI: 10.1109/TCC.2016.2551747     Document Type: Article

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