The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Joint Service Caching and Task Offloading for Mobile Edge Computing in Dense Networks
Open accessAbstract
Mobile Edge Computing (MEC) pushes computing functionalities away from the centralized cloud to the network edge, thereby meeting the latency requirements of many emerging mobile applications and saving backhaul network bandwidth. Although many existing works have studied computation of-floading policies, service caching is an equally, if not more important, design topic of MEC, yet receives much less attention. Service caching refers to caching application services and their related databases/libraries in the edge server (e.g. MEC-enabled BS), thereby enabling corresponding computation tasks to be executed. Because only a small number of application services can be cached in resource-limited edge server at the same time, which services to cache has to be judiciously decided to maximize the edge computing performance. In this paper, we investigate the extremely compelling but much less studied problem of dynamic service caching in MEC-enabled dense cellular networks. We propose an efficient online algorithm, called OREO, which jointly optimizes dynamic service caching and task offloading to address a number of key challenges in MEC systems, including service heterogeneity, unknown system dynamics, spatial demand coupling and decentralized coordination. Our algorithm is developed based on Lyapunov optimization and Gibbs sampling, works online without requiring future information, and achieves provable close-to-optimal performance. Simulation results show that our algorithm can effectively reduce computation latency for end users while keeping energy consumption low.
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Cites
Edge computing: Vision and challenges
Shi, W., Cao, J., Zhang, Q., Li, Y., & Xu, L. (2016) · IEEE Internet of Things Journal · doi:10.1109/jiot.2016.2579198 · Cited by 8,733
Buyya, R., Yeo, C. S., Venugopal, S., Broberg, J., & Brandic, I. (2009) · Future Generation Computer Systems · doi:10.1016/j.future.2008.12.001 · Cited by 5,937
A Survey on Mobile Edge Computing: The Communication Perspective
Mao, Y., You, C., Zhang, J., Huang, K., & Letaief, K. B. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2745201 · Cited by 5,607
Monte Carlo Statistical Methods
Kim, H. (2000) · Technometrics · doi:10.1080/00401706.2000.10485722 · Cited by 5,508
Generalized Benders decomposition
Geoffrion, A. M. (1972) · Journal of Optimization Theory and Applications · doi:10.1007/bf00934810 · Cited by 2,478
Monte Carlo Statistical Methods
Robert, C. P., & Casella, G. (1999) · Springer Texts in Statistics · doi:10.1007/978-1-4757-3071-5 · Cited by 2,278
Stochastic Network Optimization with Application to Communication and Queueing Systems
Neely, M. J. (2010) · Synthesis lectures on communication networks · doi:10.2200/s00271ed1v01y201006cnt007 · Cited by 2,218
Dynamic computation offloading for mobile-edge computing with energy harvesting devices
Mao, Y., Zhang, J., & Letaief, K. B. (2016) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2016.2611964 · Cited by 1,705
Mobile cloud computing: A survey
Fernando, N., Loke, S. W., & Rahayu, W. (2013) · Future Generation Computer Systems · doi:10.1016/j.future.2012.05.023 · Cited by 1,663
FemtoCaching: Wireless Content Delivery Through Distributed Caching Helpers
Shanmugam, K., Golrezaei, N., Dimakis, A. G., Molisch, A. F., & Caire, G. (2013) · IEEE Transactions on Information Theory · doi:10.1109/tit.2013.2281606 · Cited by 1,246
Cited by
Resource Scheduling in Edge Computing: A Survey
Luo, Q., Hu, S., Li, C., Li, G., & Shi, W. (2021) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2021.3106401 · Cited by 588
“Also, some studies only consider storage resources in terms of caching data [122] and caching service [123], [124].”
BackgroundMethodAli, E. S., Hasan, M. K., Hassan, R., Saeed, R. A., Hassan, M. B., Islam, S., Nafi, N. S., & Bevinakoppa, S. (2021) · Security and Communication Networks · doi:10.1155/2021/8868355 · Cited by 257
Lin, X., Li, J., Wu, J., Liang, H., & Yang, W. (2019) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2019.2917307 · Cited by 192
Privacy-aware service placement for mobile edge computing via federated learning
Qian, Y., Hu, L., Chen, J., Guan, X., Hassan, M. M., & Alelaiwi, A. (2019) · Information Sciences · doi:10.1016/j.ins.2019.07.069 · Cited by 122
Optimal Placement of Social Digital Twins in Edge IoT Networks
Chukhno, O., Chukhno, N., Araniti, G., Campolo, C., Iera, A., & Molinaro, A. (2020) · Sensors · doi:10.3390/s20216181 · Cited by 42
Metadata
- Authors
- Xu, J., Chen, L., & Zhou, P.
- Venue
- IEEE INFOCOM 2018 - IEEE Conference on Computer Communications
- Publisher
- IEEE
- Published
- 2018-04
- Pages
- 207-215
- OpenAlex
- W2963618158
- Cited by
- 585
- References
- 29
- FWCI
- 57.64
- Type
- conference paper
- Language
- en
- Open access
- green
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- Xu, J., Chen, L., & Zhou, P. (2018). Joint Service Caching and Task Offloading for Mobile Edge Computing in Dense Networks. IEEE INFOCOM 2018 - IEEE Conference on Computer Communications. https://doi.org/10.1109/infocom.2018.8485977
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