Model-based Resource Management for Fine-grained Services
Gias, Alim Ul 2023. Model-based Resource Management for Fine-grained Services. ACM SIGMETRICS Performance Evaluation Review. 50 (3), pp. 28-31. https://doi.org/10.1145/3579342.3579350
Gias, Alim Ul 2023. Model-based Resource Management for Fine-grained Services. ACM SIGMETRICS Performance Evaluation Review. 50 (3), pp. 28-31. https://doi.org/10.1145/3579342.3579350
Title | Model-based Resource Management for Fine-grained Services |
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Type | Journal article |
Authors | Gias, Alim Ul |
Abstract | 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. |
Keywords | Computer Networks and Communications |
Hardware and Architecture | |
Software | |
Journal | ACM SIGMETRICS Performance Evaluation Review |
Journal citation | 50 (3), pp. 28-31 |
ISSN | 0163-5999 |
Year | 2023 |
Publisher | Association for Computing Machinery (ACM) |
Accepted author manuscript | License CC BY 4.0 File Access Level Open (open metadata and files) |
Digital Object Identifier (DOI) | https://doi.org/10.1145/3579342.3579350 |
Publication dates | |
Published online | 05 Jan 2023 |
Published in print | 30 Dec 2022 |