The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
A hierarchical edge cloud architecture for mobile computing
Abstract
The performance of mobile computing would be significantly improved by leveraging cloud computing and migrating mobile workloads for remote execution at the cloud. In this paper, to efficiently handle the peak load and satisfy the requirements of remote program execution, we propose to deploy cloud servers at the network edge and design the edge cloud as a tree hierarchy of geo-distributed servers, so as to efficiently utilize the cloud resources to serve the peak loads from mobile users. The hierarchical architecture of edge cloud enables aggregation of the peak loads across different tiers of cloud servers to maximize the amount of mobile workloads being served. To ensure efficient utilization of cloud resources, we further propose a workload placement algorithm that decides which edge cloud servers mobile programs are placed on and how much computational capacity is provisioned to execute each program. The performance of our proposed hierarchical edge cloud architecture on serving mobile workloads is evaluated by formal analysis, small-scale system experimentation, and large-scale trace-based simulations.
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A Survey on Mobile Edge Computing: The Communication Perspective
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Adaptive Federated Learning in Resource Constrained Edge Computing Systems
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A Survey on the Edge Computing for the Internet of Things
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All one needs to know about fog computing and related edge computing paradigms: A complete survey
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Collaborative Cloud and Edge Computing for Latency Minimization
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Metadata
- Authors
- Tong, L., Li, Y., & Gao, W.
- Venue
- IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications
- Publisher
- IEEE
- Published
- 2016-04
- Pages
- 1-9
- OpenAlex
- W2493746814
- Cited by
- 518
- References
- 22
- FWCI
- 61.59
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Tong, L., Li, Y., & Gao, W. (2016). A hierarchical edge cloud architecture for mobile computing. IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications. https://doi.org/10.1109/infocom.2016.7524340
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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