A framework for partitioning and execution of data stream applications in mobile cloud computing

Proceedings - 2012 IEEE 5th International Conference on Cloud Computing, CLOUD 2012

Volumn , Issue , 2012, Pages 794-802

  Yang, Lei ^a   Cao, Jiannong ^a   Tang, Shaojie ^b   Li, Tao ^a   Chan, Alvin T S ^a  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^b Illinois Institute of Technology   (United States)

Author keywords

application partitioning; genetic algorithm; mobile cloud computing

Indexed keywords

APPLICATION PARTITIONING; CLOUD SERVICES; COMPUTING PARADIGM; DATA STREAM; DYNAMIC PARTITIONING; EXTENSIVE SIMULATIONS; HIGH THROUGHPUT; MAXIMUM SPEED; MOBILE APPLICATIONS; MOBILE DATA; MULTIPLE USER; OPTIMAL PARTITIONS; PARTITIONING PROBLEM; PORTABLE DEVICE; RESOURCE PROVIDERS; RUNTIME SUPPORT; SINGLE USERS; STREAMING DATA;

DATA COMMUNICATION SYSTEMS; DATA HANDLING; GENETIC ALGORITHMS; MOBILE DEVICES; OPTIMIZATION;

CLOUD COMPUTING;

EID: 84866773563     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CLOUD.2012.97     Document Type: Conference Paper

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