City Research Online

Model-based Resource Management for Fine-grained Services

Gias, A. ORCID: 0000-0001-9578-5960 (2022). Model-based Resource Management for Fine-grained Services. ACM SIGMETRICS Performance Evaluation Review, 50(3), pp. 28-31. doi: 10.1145/3579342.3579350


Brief Biography: Alim Ul Gias is currently a Research Associate at the Centre for Parallel Computing (CPC), University of Westminster. He completed his PhD from Imperial College London in 2022. Before starting his PhD, Alim was a lecturer at Institute of Information Technology (IIT), University of Dhaka (DU). He completed his bachelor's and master's program from the same institute. His current research focuses on different Quality of Service (QoS) aspects of cloud-native applications e.g., microservices. In particular, he aims to address the performance and resource management challenges concenrining the microservices architecture.

Publication Type: Article
Additional Information: Copyright is held by author/owner(s).
Subjects: H Social Sciences > HG Finance
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: School of Science & Technology > Computer Science
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