Title :
Towards an Energy-Efficient Tool for Processing the Big Data
Author :
Renault, Eric ; Boumerdassi, Selma
Author_Institution :
Networks & Mobile Multimedia Services Dept., Inst. Mines-Telecom - Telecom SudParis, Evry, France
Abstract :
Checkpointing Aided Parallel Execution (CAPE) is a paradigm using checkpointing technique to distribute sequential programs equiped with OpenMP directives in distributed systems. This paper presents the CAPE paradigm and highlights the benefits in terms of energy consumption for the processing of the Big Data.
Keywords :
Big Data; checkpointing; parallel machines; power aware computing; Big Data processing; CAPE paradigm; OpenMP directives; checkpointing-aided parallel execution; distributed systems; energy consumption; energy-efficient tool; sequential program distribution; Checkpointing; Computer architecture; Conferences; Energy consumption; Kernel; Libraries; Program processors; Big Data; Cloud computing; Energy saving; OpenMP;
Conference_Titel :
Future Internet of Things and Cloud (FiCloud), 2014 International Conference on
Conference_Location :
Barcelona
DOI :
10.1109/FiCloud.2014.80
