Elasticity management of Streaming Data Analytics Flows on clouds
| Autor: | Alireza Khosravian, Rajiv Ranjan, Alireza Khoshkbarforoushha |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Adaptive control
Computer Networks and Communications business.industry Computer science Applied Mathematics Distributed computing Service level objective 020207 software engineering Workload 02 engineering and technology computer.software_genre Multi-objective optimization Theoretical Computer Science Elasticity (cloud computing) Computational Theory and Mathematics Analytics Control theory 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Resource management Data mining business computer |
| Zdroj: | Journal of Computer and System Sciences. 89:24-40 |
| ISSN: | 0022-0000 |
| DOI: | 10.1016/j.jcss.2016.11.002 |
| Popis: | In this paper, we present a framework for resource management of Streaming Data Analytics Flows (SDAF). Using advanced techniques in control and optimization theory, we design an adaptive control system tailored to the data ingestion, analytics, and storage layers of the SDAF that is able to continuously detect and self-adapt to workload changes for meeting the users' service level objectives. Our experiments based on a real-world SDAF show that, the proposed control scheme is able to reduce the deviation from desired utilization of resources by up to 48% compared to existing techniques. |
| Databáze: | OpenAIRE |
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