TY - GEN
T1 - Modeling multi-factor multi-site risk-based offloading for mobile cloud computing
AU - Wu, Huijun
AU - Huang, Dijiang
N1 - Publisher Copyright:
© 2014 IFIP.
PY - 2014/1/16
Y1 - 2014/1/16
N2 - Offloading decisions for computation-intensive applications in mobile cloud computing may involve many decision factors. Important decision factors such as offloading node reliability and privacy protection have not been well studied. Moreover, existing offloading models mainly focus on the one-to-one offloading relation. To address the multi-factor and multi-site offloading mobile cloud application scenarios, we present a multifactor multi-site risk-based offloading model that abstracts the offloading impact factors as for offloading benefit and offloading risk. The offloading decision is made based on a comprehensive offloading risk evaluation. This presented model is generic and extendible. Four offloading impact factors are presented to show the construction and operation of the presented offloading model, which can be easily extended to incorporate more factors to make offloading decision more comprehensive. The overall offloading benefits and risks are aggregated based on the mobile cloud users' preference. The performance evaluation presents the practicality of the presented solution.
AB - Offloading decisions for computation-intensive applications in mobile cloud computing may involve many decision factors. Important decision factors such as offloading node reliability and privacy protection have not been well studied. Moreover, existing offloading models mainly focus on the one-to-one offloading relation. To address the multi-factor and multi-site offloading mobile cloud application scenarios, we present a multifactor multi-site risk-based offloading model that abstracts the offloading impact factors as for offloading benefit and offloading risk. The offloading decision is made based on a comprehensive offloading risk evaluation. This presented model is generic and extendible. Four offloading impact factors are presented to show the construction and operation of the presented offloading model, which can be easily extended to incorporate more factors to make offloading decision more comprehensive. The overall offloading benefits and risks are aggregated based on the mobile cloud users' preference. The performance evaluation presents the practicality of the presented solution.
UR - https://www.scopus.com/pages/publications/84922831390
U2 - 10.1109/CNSM.2014.7014164
DO - 10.1109/CNSM.2014.7014164
M3 - Conference Proceeding
AN - SCOPUS:84922831390
T3 - Proceedings of the 10th International Conference on Network and Service Management, CNSM 2014
SP - 230
EP - 235
BT - Proceedings of the 10th International Conference on Network and Service Management, CNSM 2014
A2 - Raz, Danny
A2 - Nogueira, Michele
A2 - Madeira, Edmundo Roberto Mauro
A2 - Jennings, Brendan
A2 - Granville, Lisandro Zambenedetti
A2 - Gaspary, Luciano Paschoal
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th International Conference on Network and Service Management, CNSM 2014
Y2 - 17 November 2014 through 21 November 2014
ER -