计算机软件新技术国家重点实验室
摘 要：
Online social networks are organised around users who have certain expectations from their network provider, such as low latency access to both their own data and their friends’ data, often very large, e.g. videos, pictures etc. Replication of data can be used to meet these requirements and geo-distributed cloud services with virtually unlimited capabilities are suitable for large scale data storage. However, social network service providers often have a limited monetary capital to store every piece of data everywhere to minimise users’ data access latency. Therefore, it is crucial to have optimised data placement to fulfil the users’ acceptable latency requirement while having the minimum cost for social network providers. In this seminar, we address key problems including how to find the optimal number of replicas, how to optimally place the datasets and how to distribute the requests to different datacentres.
报告人简介:
Professor Yun Yang is part of the Swinburne University School of Software and Electrical Engineering. His research expertise spans areas including cloud computing, workflows, distributed systems, software development environments and service oriented computing.Recent research projects have examined areas such as service oriented computing in the cloud, scheduling and temporal analysis in cloud workflows, and big data management in cloud computing. All of these projects have been partially funded by the ARC.Alongside his teaching and research responsibilities, Professor Yang is also the leader of Swinburne’s Next Generation Software Platform focus area and Associate Editor of IEEE Transactions on Cloud Computing.
时间：9月18日(星期三)10:00
地点：计算机科学技术楼230室
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