Hierarchical Cloud Computing Architecture for Context-Aware IoT Services
| Autor: | Wonjong Noh, Tae-Dong Lee, Byung Moo Lee |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Computer science
business.industry Distributed computing 020206 networking & telecommunications Cloud computing 02 engineering and technology Scheduling (computing) Cloud computing architecture 0202 electrical engineering electronic engineering information engineering Media Technology Resource allocation Reinforcement learning 020201 artificial intelligence & image processing Electrical and Electronic Engineering Internet of Things business Context-aware services |
| Zdroj: | IEEE Transactions on Consumer Electronics. 64:222-230 |
| ISSN: | 1558-4127 0098-3063 |
| DOI: | 10.1109/tce.2018.2844724 |
| Popis: | This paper presents a new cloud computing model for context-aware Internet of Things services. The proposed computing model is hierarchically composed of two layers: a cloud control layer (CCL) and a user control layer (UCL). The CCL manages cloud resource allocation, service scheduling, service profile, and service adaptation policy from a system performance point of view. Meanwhile, the UCL manages end-to-end service connection and service context from a user performance point of view. The proposed model can support nonuniform service binding and its real-time adaptation using meta-objects. Furthermore, it supports intelligent service-context management using a supervised and reinforcement learning-based machine learning framework. We implemented a lightweight prototype of the proposed computing model. Evaluations confirm that the proposed computing model offers enhanced performance compared with legacy uniform computing models. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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