The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Service-oriented heterogeneous resource sharing for optimizing service latency in mobile cloud
Abstract
Fog computing is expected to be an enabler of mobile cloud computing, which extends the cloud computing paradigm to the edge of the network. In the mobile cloud, not only central data centers but also pervasive mobile devices share their heterogeneous resources (e. g. CPUs, bandwidth, content) and support services. The mobile cloud based on such resource sharing is expected to be a powerful platform for mobile cloud applications and services. In this paper, we propose an architecture and mathematical framework for heterogeneous resource sharing based on the key idea of service-oriented utility functions. Since heterogeneous resources are often measured/quantified in disparate scales/units (e.g. power, bandwidth, latency), we present a unified framework where all these quantities are equivalently mapped to "time" resources. We formulate optimization problems for maximizing (i) the sum of the utility functions, and (ii) the product of the utility functions, and solve them via convex optimization approaches. Our numerical results show that service-oriented heterogeneous resource sharing reduces service latencies effectively and achieves high energy efficiency, making it attractive for use in the mobile cloud.
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Citations
Cites
Fog computing and its role in the internet of things
Bonomi, F., Milito, R., Zhu, J., & Addepalli, S. (2012) · Proceedings of the first edition of the MCC workshop on Mobile cloud computing · doi:10.1145/2342509.2342513 · Cited by 6,244
A survey of mobile cloud computing: architecture, applications, and approaches
Dinh, H. T., Lee, C., Niyato, D., & Wang, P. (2013) · Wireless Communications and Mobile Computing · doi:10.1002/wcm.1203 · Cited by 2,391 · cited 2×
“Conventional approaches for achieving heterogeneous resource sharing usually coordinate tasks (such as numerical calculations or even download of data) without consideration of the specific service that is being provided [2, 3].”
BackgroundThe Logarithmic Nature of QoE and the Role of the Weber-Fechner Law in QoE Assessment
Reichl, P., Egger, S., Schatz, R., & D'Alconzo, A. (2010) · 2010 IEEE International Conference on Communications · doi:10.1109/icc.2010.5501894 · Cited by 284
Cited by
Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge
Nishio, T., & Yonetani, R. (2019) · ICC 2019 - 2019 IEEE International Conference on Communications (ICC) · doi:10.1109/icc.2019.8761315 · Cited by 1,875
Self-citationClient Selection for Federated Learning with Heterogeneous Resources in Mobile Edge
Nishio, T., & Yonetani, R. (2018) · arXiv · doi:10.48550/arxiv.1804.08333 · Cited by 1,875
Self-citationA Comprehensive Survey on Fog Computing: State-of-the-Art and Research Challenges
Mouradian, C., Naboulsi, D., Yangui, S., Glitho, R. H., Morrow, M. J., & Polakos, P. A. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2771153 · Cited by 1,022
Edge Computing for the Internet of Things: A Case Study
Premsankar, G., Di Francesco, M., & Taleb, T. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2805263 · Cited by 697
Survey of Fog Computing: Fundamental, Network Applications, and Research Challenges
Mukherjee, M., Shu, L., & Wang, D. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2814571 · Cited by 684
Metadata
- Authors
- Nishio, T., Shinkuma, R., Takahashi, T., & Mandayam, N. B.
- Venue
- Proceedings of the first international workshop on Mobile cloud computing & networking - MobileCloud '13
- Publisher
- ACM Press
- Published
- 2013
- Pages
- 19
- OpenAlex
- W1971167072
- Cited by
- 167
- References
- 3
- Type
- conference abstract
- Language
- en
- Open access
- closed
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- Nishio, T., Shinkuma, R., Takahashi, T., & Mandayam, N. B. (2013). Service-oriented heterogeneous resource sharing for optimizing service latency in mobile cloud. Proceedings of the first international workshop on Mobile cloud computing & networking - MobileCloud '13. https://doi.org/10.1145/2492348.2492354
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