报告题目：Resource allocation in cloud computing - Evolutionary Approaches

报告所属学科：管理科学与工程

报告人：Hui Ma（惠灵顿维多利亚大学）

报告时间：2025年1月10日 10:00-12:00

报告地点：经管学院702室

报告摘要：

In recent years, container-based clouds are becoming increasingly popular for their lightweight nature. Container-based clouds support flexible deployment of applications and therefore brings the potential to reduce the energy consumption of data centers. However, resource allocation problem in container-based clouds is much more challenging than the resource allocation problem in traditional VM-based clouds because the former one involves two-level resource allocation. Existing works on resource allocation are mainly for one-level allocation, i.e., VM to physical machines, and cannot be used to effectively solve the resource allocation problem in container-based clouds. Due to the complexity of the problem we need to use meta-heuristic approaches to efficiently and effectively solve the problem. In this talk we present our works on resource allocation in container-based clouds, based on some evolutionary computation methods. We conducted experimental evaluation using some benchmark datasets. The evaluation results demonstrate the effectiveness of our proposed approaches in terms of energy saving, reduction of container migrations.

报告人简介：

Hui Ma is an Associate Professor in Software Engineering at School of Engineering and Computer Science, Victoria University of Wellington. She teaches on topics related to Software Engineering and Databases. Hui's main research interests include service composition, service deployment and resource allocation for services, artificial intelligence, evolutionary computation, distributed databases, social network data analysis, and conceptual modelling. She has published over 160 fully refereed articles in internationally recognised journals and conferences, and has contributed several chapters to published books. Her research has been funded through several competitive grants, including Marsden grant from New Zealand Royal Society. She has been served as PC chairs for several international conferences, including DEXA2016, APCCM 2017, ER2017, APCCM2018 and DEXA2018. She is currently serving at local Co-chair of two international conferences (AI2018 and CEC2019) in the area of evolutionary computation and artificial intelligence