MECCA: Mobile, efficient cloud computing workload adoption framework using scheduler customization and workload migration decisions

Proceedings of the International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc)

Volumn , Issue , 2013, Pages 41-45

  Kakadia, Dharmesh ^a   Saripalli, Prasad ^b   Varma, Vasudeva ^a  

^a INTERNATIONAL INSTITUTE OF INFORMATION TECHNOLOGY   (India)

^b IBM Cloud Center of Excellence   (India)

Author keywords

Cloud workload migration; Mobile cloud computing; Profiling; Scheduling

Indexed keywords

APPLICATION EXECUTION; APPLICATION OFFLOADING; HIGH-LEVEL FEATURES; LEARNING-BASED ALGORITHMS; PERFORMANCE MONITORING; PROFILING; RESOURCE UTILIZATIONS; WORKLOAD MIGRATION;

MOBILE CLOUD COMPUTING; SCHEDULING;

MOBILE DEVICES;

EID: 84882936257     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2492348.2492357     Document Type: Conference Paper

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