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Queue-aware learning for scheduling in healthcare clouds
- Issue Date
- Aug-2017
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Citation
- Proceedings of KICS-IEEE International Conference on Information and Communications with Samsung LTE and 5G Special Workshop, ICIC 2017, pp 304 - 305
- Pages
- 2
- Journal Title
- Proceedings of KICS-IEEE International Conference on Information and Communications with Samsung LTE and 5G Special Workshop, ICIC 2017
- Start Page
- 304
- End Page
- 305
- ISSN
- 0000-0000
- Abstract
- This paper presents an adaptive algorithm for the scheduling of randomly deployed 60 GHz IEEE 802.11ad access points (APs) with the concept of stochastic message-passing in in-hospital medical healthcare cloud platforms. To formulate this scheduling problem, this paper uses max-weight independent set (MWIS) formulation where the weight is defined as the queue-backlog size; and then it approximately solves the problem with the theory of stochastic learning, i.e., stochastic message-passing. © 2017 IEEE.
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