TY - GEN
T1 - On the performance evaluation of a novel offloading-based energy conservation mechanism for wireless devices
AU - Mavromoustakis, Constandinos X.
AU - Andreou, Andreas
AU - Mastorakis, George
AU - Bourdena, Athina
AU - Batalla, Jordi Mongay
AU - Dobre, Ciprian
PY - 2015
Y1 - 2015
N2 - Mobile Cloud computing paradigm includes plenty of critical challenges that have to be addressed for allowing application execution on remote terminals/servers. An integral part of mobile cloud computing reliable service provision is the establishment of a methodology that will guarantee the efficient execution of applications in an energy-efficient way. This work elaborates on the evaluation of a framework, which utilizes a cooperative partial process execution offloading scheme, aiming at offering energy conservation. The scheme uses a dynamic scheduling methodology in order to guarantee that no intermittent execution will occur on mobile devices. In addition, this work proposes a partial scheduling offloading algorithm for failure-aware resource allocation in an energy-efficient manner, associating temporal execution-oriented metrics. The proposed framework is thoroughly evaluated through event driven simulation experiments, towards defining the efficiency of the proposed offloading policy in contrast to the energy consumption of wireless devices, as well as for the reliability degree offered.
AB - Mobile Cloud computing paradigm includes plenty of critical challenges that have to be addressed for allowing application execution on remote terminals/servers. An integral part of mobile cloud computing reliable service provision is the establishment of a methodology that will guarantee the efficient execution of applications in an energy-efficient way. This work elaborates on the evaluation of a framework, which utilizes a cooperative partial process execution offloading scheme, aiming at offering energy conservation. The scheme uses a dynamic scheduling methodology in order to guarantee that no intermittent execution will occur on mobile devices. In addition, this work proposes a partial scheduling offloading algorithm for failure-aware resource allocation in an energy-efficient manner, associating temporal execution-oriented metrics. The proposed framework is thoroughly evaluated through event driven simulation experiments, towards defining the efficiency of the proposed offloading policy in contrast to the energy consumption of wireless devices, as well as for the reliability degree offered.
KW - Dependable mobile computing
KW - Dynamic resource migration
KW - Mobile cloud
KW - Offloading methodology
KW - Reliability
KW - Temporal executionoriented metrics
UR - http://www.scopus.com/inward/record.url?scp=84924095279&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-16292-8_13
DO - 10.1007/978-3-319-16292-8_13
M3 - Conference contribution
AN - SCOPUS:84924095279
VL - 141
T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
SP - 179
EP - 191
BT - Mobile Networks and Management - 6th International Conference, MONAMI 2014, Revised Selected Papers
PB - Springer Verlag
T2 - 6th International ICST Conference on Mobile Networks and Management, MONAMI 2014
Y2 - 22 September 2014 through 24 September 2014
ER -