Parallel data intensive computing in scientific and commercial applications
Parallel Computing - Parallel data-intensive algorithms and applications
xDGDL: towards an XML-based datagrid description language
High performance scientific and engineering computing
Reliability mechanisms for file systems using non-volatile memory as a metadata store
EMSOFT '06 Proceedings of the 6th ACM & IEEE International conference on Embedded software
WEAVER codes: highly fault tolerant erasure codes for storage systems
FAST'05 Proceedings of the 4th conference on USENIX Conference on File and Storage Technologies - Volume 4
Branch replication scheme: A new model for data replication in large scale data grids
Future Generation Computer Systems
Job scheduling and dynamic data replication in data grid environment
The Journal of Supercomputing
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From the Publisher:The definitive roadmap through the complex and fast-growing field of high performance I/O architectureTodays data-driven high performance computer technologies demand reliable delivery systems that combine high-level computing, storage, I/O, and network communication performance. Due to the growth of Internet-driven applications like digital libraries, virtual laboratories, video on demand, e-commerce, web services, and collaborative systems, issues such as storage capacity and access speed have become critical in the design of todays computer systems. High Performance Mass Storage and Parallel I/O fills the need for a readily accessible single reference source on the subject of high performance, large-scale storage and delivery systems, specifically the use of Redundant Arrays of Inexpensive Disks (RAID) that are accessed using parallel input/output (I/O) architecture. The authors, all internationally recognized experts in the field, have combined the best of the current literature on the subject with important information on emerging technologies and future trends. Topics covered include: Redundant disk array Architecture Fault Tolerance Issues in Disk Arrays Caching and Prefetching Parallel File and I/O Systems Emerging Technologies and Future Trends A valuable resource for both students of computer technology and professionals in the field, High Performance Mass Storage and Parallel I/O delivers state-of-the-art information that will help todays system designers and application developers meet the increasing demand for high-performance, large-scale storage systems. Author Biography: HAI JIN is a professor of computer science at Huazhong University of Science and Technology, Wuhan, China. He holds both a B.A. and M.S. degree in computer science, and a Ph.D. in electrical and electronics engineering from the same University. He is currently a postdoctoral fellow in the Department of Electrical and Electronics Engineering at the University of Hong Kong in addition to being a visiting scholar at the Internet and Cluster Computing Laboratory at the University of Southern California. Dr. Jin has coauthored three books and published more than 50 papers in international journals and conferences. TONI CORTES is an associate professor at Universitat Politecnica de Catalunya, Barcelona, Spain. He obtained his M.S. and Ph.D. degrees in computer science at the same university, and is currently the coordinator of the single-system image technical area in the IEEE Task Force on Cluster Computing (TFCC). Dr. Cortes has also been working on several European industrial projects and has published more than 15 papers in international journals and conferences. RAJKUMAR BUYYA is Co-Chair of the IEEE Task Force on Cluster Computing and an international speaker in the IEEE Computer Society Chapter Tutorials Program. Currently at Monash University, Melbourne, Australia, he is conducting R&D on the use of an economics paradigm for peer-to-peer and grid-based service-oriented computing. He has co-authored Microprocessor x86 Programming and Mastering C++, and edited a popular two-volume book on high performance cluster computing. He has published over 50 research articles in major international journals and conferences.