TY - JOUR
T1 - Special Section
T2 - Scalable information systems
AU - Lee, Wang Chien
AU - Xu, Jianliang
AU - Li, Jianzhong
AU - Silvestri, Fabrizio
N1 - Funding Information:
Wang-Chien Lee is an Associate Professor of Computer Science and Engineering at Pennsylvania State University. He received his B.S. from the Information Science Department, National Chiao Tung University, Taiwan, his M.S. from the Computer Science Department, Indiana University, and his Ph.D. from the Computer and Information Science Department, the Ohio State University. Prior to joining Penn State, he was a principal member of the technical staff at Verizon/GTE Laboratories, Inc. Dr. Lee leads the Pervasive Data Access (PDA) Research Group at Penn State University to pursue cross-area research in database systems, pervasive/mobile computing, and networking. He is particularly interested in developing data management techniques (including accessing, indexing, caching, aggregation, dissemination, and query processing) for supporting complex queries in a wide spectrum of networking and mobile environments such as peer-to-peer networks, mobile ad-hoc networks, wireless sensor networks, and wireless broadcast systems. Meanwhile, he has worked on XML, security, information integration/retrieval, and object-oriented databases. He has published more than 135 technical papers on these topics. Dr. Lee’s research has been supported by multiple NSF grants. Most of his research result has been published in prestigious journals and conferences in the fields of databases, mobile computing and networking. He has been active in various IEEE/ACM conferences and has given tutorials for many major conferences. He was the founding program co-chair of the International Conference on Mobile Data Management (MDM). He has also served as a guest editor for several journal special issues (e.g., IEEE Transactions on Computers) on mobile database related topics. He has served as the TPC chairs or general chairs for a number of conferences, including the Second International Conference on Scalable Information Systems (Infoscale’07), the Sixth International ACM Workshop on Data Engineering for Wireless and Mobile Access (MobiDE’07), and the IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (SUTC’08). He is also a TPC vice chair for the 17th International World Wide Web Conference (WWW’08).
Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2009/1
Y1 - 2009/1
N2 - The Second International Conference on Scalable Information Systems (INFOSCALE 2007), was organized on the development of distributed and peer-to-peer (P2P) systems. A paper was presented on a system named 'OntoZilla' that combines ontology and P2P systems. A paper was presented on a Distributed Incremental Nearest Neighbor algorithm (DINN) for finding closest objects in networked computer nodes. A paper was presented that proposed a Swift tree structure for multidimensional Data Indexing (SDI), a swift index scheme with simple tree structure for multidimensional data indexing in large-scale distributed systems. A paper was presented on a query-driven indexing/retrieval strategy for efficient full text retrieval from large document collections distributed within a structured P2P network. A paper was presented on contention-based performance evaluation of P2P search techniques.
AB - The Second International Conference on Scalable Information Systems (INFOSCALE 2007), was organized on the development of distributed and peer-to-peer (P2P) systems. A paper was presented on a system named 'OntoZilla' that combines ontology and P2P systems. A paper was presented on a Distributed Incremental Nearest Neighbor algorithm (DINN) for finding closest objects in networked computer nodes. A paper was presented that proposed a Swift tree structure for multidimensional Data Indexing (SDI), a swift index scheme with simple tree structure for multidimensional data indexing in large-scale distributed systems. A paper was presented on a query-driven indexing/retrieval strategy for efficient full text retrieval from large document collections distributed within a structured P2P network. A paper was presented on contention-based performance evaluation of P2P search techniques.
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U2 - 10.1016/j.future.2008.07.012
DO - 10.1016/j.future.2008.07.012
M3 - Article
AN - SCOPUS:52249111829
SN - 0167-739X
VL - 25
SP - 51
EP - 52
JO - Future Generation Computer Systems
JF - Future Generation Computer Systems
IS - 1
ER -