The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Dynamic service migration in mobile edge-clouds
Open accessAbstract
We study the dynamic service migration problem in mobile edge-clouds that host cloud-based services at the network edge. This offers the benefits of reduction in network overhead and latency but requires service migrations as user locations change over time. It is challenging to make these decisions in an optimal manner because of the uncertainty in node mobility as well as possible non-linearity of the migration and transmission costs. In this paper, we formulate a sequential decision making problem for service migration using the framework of Markov Decision Process (MDP). Our formulation captures general cost models and provides a mathematical framework to design optimal service migration policies. In order to overcome the complexity associated with computing the optimal policy, we approximate the underlying state space by the distance between the user and service locations. We show that the resulting MDP is exact for uniform one-dimensional mobility while it provides a close approximation for uniform two-dimensional mobility with a constant additive error term. We also propose a new algorithm and a numerical technique for computing the optimal solution which is significantly faster in computation than traditional methods based on value or policy iteration. We illustrate the effectiveness of our approach by simulation using real-world mobility traces of taxis in San Francisco.
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Cites
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Cited by
Mobile Edge Computing: A Survey on Architecture and Computation Offloading
Mach, P., & Becvar, Z. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2682318 · Cited by 3,258
Taleb, T., Samdanis, K., Mada, B., Flinck, H., Dutta, S., & Sabella, D. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2705720 · Cited by 1,775
Energy-Efficient Offloading for Mobile Edge Computing in 5G Heterogeneous Networks
Zhang, K., Mao, Y., Leng, S., Zhao, Q., Li, L., Peng, X., Pan, L., Maharjan, S., & Zhang, Y. (2016) · IEEE Access · doi:10.1109/access.2016.2597169 · Cited by 855
A Survey on Service Migration in Mobile Edge Computing
Wang, S., Xu, J., Zhang, N., & Liu, Y. (2018) · IEEE Access · doi:10.1109/access.2018.2828102 · Cited by 348
Self-citationFog Computing for the Internet of Things: A Survey
Puliafito, C., Mingozzi, E., Longo, F., Puliafito, A., & Rana, O. (2019) · ACM Transactions on Internet Technology · doi:10.1145/3301443 · Cited by 323
Metadata
- Authors
- Wang, S., Urgaonkar, R., Zafer, M., He, T., Chan, K., & Leung, K. K.
- Venue
- 2015 IFIP Networking Conference (IFIP Networking)
- Publisher
- IEEE
- Published
- 2015-05
- Pages
- 1-9
- OpenAlex
- W1551426553
- Cited by
- 281
- References
- 12
- FWCI
- 25.21
- Type
- conference paper
- Language
- en
- Open access
- green
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- Wang, S., Urgaonkar, R., Zafer, M., He, T., Chan, K., & Leung, K. K. (2015). Dynamic service migration in mobile edge-clouds. 2015 IFIP Networking Conference (IFIP Networking). https://doi.org/10.1109/ifipnetworking.2015.7145316
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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