Deployment of real-time systems in the cloud environment
| Autor: | Javid Taheri, Farmanullah Jan, Muhammad Bilal Qureshi, Nasro Min-Allah, Saleh Alrashed |
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| Rok vydání: | 2020 |
| Předmět: |
020203 distributed computing
Smart system Computer science business.industry Cloud gaming Distributed computing Provisioning Cloud computing Workload 02 engineering and technology computer.software_genre Theoretical Computer Science Scheduling (computing) Hardware and Architecture Software deployment Virtual machine 0202 electrical engineering electronic engineering information engineering business computer Software Information Systems |
| Zdroj: | The Journal of Supercomputing. 77:2069-2090 |
| ISSN: | 1573-0484 0920-8542 |
| Popis: | Interest in real-time systems has grown considerably over recent years, primarily due to significant increase in the use of smart technologies and latency-sensitive applications such as cloud gaming, audio/video streaming, and smart homes. Significant work has been done on resource mapping in the cloud environment, and a number of promising results have been established accordingly where the focus is mainly on resource provisioning. However, the applicability of cloud computing services for real-time systems generated from smart systems is still in its infancy and remains unexplored, relatively. To address this gap, we propose a model for the smart systems that periodically offload computational workload to the cloud environment where virtual machines are allocated according to rate-monotonic scheduling policy to ensure requests are processed within the associated deadlines. Deadlines of tasks have been relaxed to improve server utilization as well as maintain a level of confidence in the timing constrains. Experimental results are discussed to highlight the applicability of static priority assignment for the workload in the context of virtual machines allocation. |
| Databáze: | OpenAIRE |
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