Searchable Storage in Cloud Computing
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Dr.Yu Hua is a professor at Huazhong University of Science and Technology. He was a postdoc research associate at McGill University in 2009 and a postdoc research fellow at University of Nebraska-Lincoln in 2010-2011. He obtained his B.E and Ph.D degrees from Wuhan University, respectively in 2001 and 2005. His research interests include file systems, cloud storage systems, non-volatile memory, big data analytics, machine learning, etc. His work has been published in multiple top-tier conferences and journals in the area, including OSDI, FAST, MICRO, USENIX ATC, ACM SoCC, SC, HPDC, ICDCS, IPDPS, MSST. He serves as PC chairs, committee members for multiple international conferences, including ASPLOS, SOSP, SC, USENIX ATC, ICS, RTSS, ICDCS, INFOCOM, IPDPS, MSST, DATE. He is a distinguished member of CCF, a senior member of ACM and IEEE, and a member of USENIX. He serves as the Distinguished Speaker of ACM and CCF.
Dr. Xue (Steve) Liu is a professor in the School ofComputer Science and a William Dawson Scholar at McGill University. He obtained his Ph.D. in Computer Science from The University of Illinois at Urbana-Champaign and his B.S. degree in Mathematics and M.S. degree in Automatic Control both from Tsinghua University, China. He has published over 250 research papers in major highly-reputable international academic journals and conference proceedings. He has also authored 3 books/monographs and several book chapters. Dr. Liu has served on the organizing committees of 40 major international conferences and workshops. Dr. Liu is an editor/associate editor of IEEE/ACM Transactions on Networking (ToN), ACM Transactions on Cyber-Physical Systems (TCPS) , IEEE Transactions on Vehicular Technology (TVT), and IEEE Communications Surveys and Tutorial (COMST). Dr. Liu is a member of the Tau Beta Pi Engineering Honorary Society, a lifetime member of the ACM, a member of the IEEE, and USENIX.Content
1. Backgrounds of Searchable Storage.- 2. Hashing Computation for Scalable Metadata.- 3. The Component of Searchable Storage: Semantic-Aware Namespace.- 4. Semantic-AwareMetadata Organization for Exact-matching Queries.- 5. Locality-Sensitive Bloom Filter for Approximate Membership Query.- 6. Near Real-time Searchable Analytics for Images.- 7. Data Similarity-aware Computation Infrastructure for the Cloud.- 8. Semantic-aware Data Cube for Cloud Networks.
