J
John C. S. Lui
Researcher at The Chinese University of Hong Kong
Publications - 513
Citations - 13488
John C. S. Lui is an academic researcher from The Chinese University of Hong Kong. The author has contributed to research in topics: Computer science & Server. The author has an hindex of 59, co-authored 441 publications receiving 12207 citations. Previous affiliations of John C. S. Lui include Microsoft & University of Hong Kong.
Papers
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Journal ArticleDOI
Challenges, design and analysis of a large-scale p2p-vod system
TL;DR: The challenges and the architectural design issues of a large-scale P2P-VoD system based on the experiences of a real system deployed by PPLive are discussed and a number of results on user behavior, various system performance metrics, including user satisfaction, are presented.
Journal ArticleDOI
Defending against distributed denial-of-service attacks with max-min fair server-centric router throttles
TL;DR: This work targets a network architecture and accompanying algorithms for countering distributed denial-of-service (DDoS) attacks directed at an Internet server, and proposes a notion of level-k max-min fairness, a control-theoretic model to evaluate algorithm convergence under a variety of system parameters.
Proceedings Article
Performance Analysis of Disk Arrays under Failure
Richard R. Muntz,John C. S. Lui +1 more
TL;DR: A new variation of the RAID organization is proposed that has significant advantages in both reducing the magnitude of the performance degradation when there is a single failure and can also reduce the mean time to system failure.
Journal ArticleDOI
An efficient partitioning algorithm for distributed virtual environment systems
John C. S. Lui,M.F. Chan +1 more
TL;DR: An efficient partitioning algorithm is proposed that addresses the scalability issue of designing a large scale DVE system by dynamically divide the virtual world into different partitions and then efficiently assign these partitions to different servers.
Journal ArticleDOI
Secure Overlay Cloud Storage with Access Control and Assured Deletion
TL;DR: This work design and implement FADE, a secure overlay cloud storage system that achieves fine-grained, policy-based access control and file assured deletion, and associates outsourced files with file access policies, and assuredly deletes files to make them unrecoverable to anyone upon revocations of fileAccess policies.