报告题目：Location-aware Cloud Service Brokering in Multi-cloud Environment
报告时间：2024年10月16日 上午9:30
报告地点：必发9988集团B205
报告人：Hui Ma Associate Professor
邀请人：李先能 教授
报告摘要：
More and more enterprises are increasingly gaining technical and economic benefits from the global cloud marketplace. A multi-cloud environment makes it possible to orchestrate the access and management of multiple cloud resources at the global scale. Cloud service brokers can be regarded as the intermediate to discover, integrate, aggregate, customize, and optimize cloud services, e.g. Infrastructure as a Service (IaaS), from different cloud providers. However, the existing cloud brokering schemes rarely consider the optimization techniques of deploying cloud services with respect to various criteria, such as cost and performance. In this talk, we present some of our works using AI based approaches to the multi-cloud service brokering problem, i.e. selecting and leasing virtual machines (VMs) for cloud users with minimal cost and network latency. Experimental studies using real-world datasets show that our approaches with problem-tailored solution representation, efficient performance measurement, and smart solution initialization strategies can significantly outperform many existing approaches proposed in the literature.
报告人简介
Hui Ma，associate Professor, Victoria University of Wellington，研究方向：Service Computing, Cloud Computing, Evolutionary Computation, Combinatorial Optimisation, Resource allocation in Cloud, Distributed Databases, Conceptual Modeling 代表性成果：1.C. Wang, H. Ma, G. Chen, S. Hartmann, "Using an Estimation of Distribution Algorithm to Achieve Multitasking Semantic Web Service Composition", IEEE Transactions on Evolutionary Computation (TEVC), 2022 (CORE Tier A*, CCF B)； 2.T. Shi, H. Ma, G. Chen, and S. Hartmann, "Cost-Effective Web Application Replication and Deployment in Multi-Cloud Environment," IEEE Transactions on Parallel and Distributed Systems (TPDS), 2021. doi: 10.1109/TPDS.2021.3133884. (CORE Tier A*, CCF A)等等
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