A Queue Waiting Cost-Aware Control Model for Large Scale Heterogeneous Cloud Datacenter
| Autor: | Huibing Zhang, Weihua Bai, Shao-Wei Huang, Jiaxian Zhu |
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| Rok vydání: | 2022 |
| Předmět: |
Optimization problem
Computer Networks and Communications business.industry Computer science Distributed computing 020206 networking & telecommunications Cloud computing 02 engineering and technology Computer Science Applications Data modeling Configuration Management (ITSM) Task (computing) Hardware and Architecture Server 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Data center business Queue Software Information Systems |
| Zdroj: | IEEE Transactions on Cloud Computing. 10:849-862 |
| ISSN: | 2372-0018 |
| Popis: | Optimal load distribution and speed scaling in a heterogeneous data center that takes account of the tradeoff between the maintenance and operation costs and system performance are crucial aspects of cloud computing. In this paper, we aim to provide a novel multi-server control model with dynamic feedback to acquire dynamic states of the cloud system, and with queue waiting cost-awareness to optimize the queue wait time and load distribution in task assignment and server configuration management. Using the technology of speed scaling, each server in a data center is configured as an M/M/1 queue system with variable service rate, and the service rate is a function of the length of the task queue. We formulate two optimization problems, the optimal load distribution problem and the optimal controlling service rate problem, and provide algorithms to solve these problems, facilitating load distributions and service rate adjustments. We also present numerical simulations to validate our model. The results show our model to be efficient in multi-server dynamic configurations and task assignments according to the feedback information for the tradeoff between the system cost and performance. |
| Databáze: | OpenAIRE |
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