Abstract
With the development of cloud computing and the evergrowing number of mobile devices, many applications require higher user’s quality of experience (QoE).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
V. Leung, T. Taleb, M. Chen, T. Magedanz, L. Wang, R. Tafazolli, Unveiling 5G wireless networks: emerging research advances, prospects, and challenges. IEEE Network 28(6), 3–5 (2014)
T. Taleb, A. Ksentini, Follow me cloud: interworking federated clouds and distributed mobile networks. IEEE Network 27(5), 12–19 (2013)
H. Flores, S. Srirama, Mobile Code Offloading: Should It Be A Local Decision Or Global Inference? in Proceeding of ACM MobiSys, (2013)
M. V. Barbera, S. Kosta, A. Mei, J. Stefa, To Offload or Not to offload? The Bandwidth and Energy Costs for Mobile Cloud Computing, in Proceedings of IEEE INFOCOM, (2013)
B. Han, P. Hui, V.S.A. Kumar, M.V. Marathe, J. Shao, A. Srinivasan, Mobile data offloading through opportunistic communications and social participation. IEEE Trans. Mob. Comput. 11(5), 821–834 (2012)
X. Wang, M. Chen, Z. Han, et al., TOSS: Traffic Offloading By Social Network Service-Based Opportunistic Sharing In Mobile Social Networks, in Proceedings of IEEE INFOCOM, (2014)
H. T. Dinh, C. Lee, D. Niyato, P. Wang, A survey of mobile cloud computing: architecture, applications, and approaches. Wireless Commun. Mob. Comput. (2011)
L. Lei, Z. Zhong, C. Lin, S. Shen, Operator controlled device-to-device communications in LTE-advanced networks. IEEE Wireless Commun. 19(3), 96–104 (2012)
Y. Li, W. Wang, Can Mobile Cloudlets Support Mobile Applications? in Proceedings of IEEE INFOCOM, (2014)
C. Wang, Y. Li, D. Jin, Mobility-Assisted Opportunistic Computation Offloading. IEEE Commun. Lett. 18(10), 2014
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2017 Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Youn, CH., Chen, M., Dazzi, P. (2017). Mobile Device as Cloud Broker for Computation Offloading at Cloudlets. In: Cloud Broker and Cloudlet for Workflow Scheduling. KAIST Research Series. Springer, Singapore. https://doi.org/10.1007/978-981-10-5071-8_5
Download citation
DOI: https://doi.org/10.1007/978-981-10-5071-8_5
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-5070-1
Online ISBN: 978-981-10-5071-8
eBook Packages: Computer ScienceComputer Science (R0)