Pervasive Data Access (PDA) Research Group

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Presentation transcript:

Pervasive Data Access (PDA) Research Group Mei Li Pennsylvania State University

Overview Investigate various research issues involving data access and management in a wide spectrum of pervasive/mobile computing and networking environments peer-to-peer networks mobile ad-hoc networks wireless sensor networks Also investigate object-oriented databases, XML, security, and information integration and retrieval 2 9/17/2018

Peer-to-Peer (P2P) Systems Peer-to-Peer computing paradigm has changed the ways large-scale distributed systems are built and operated. Goal of our research design data management systems to support various applications ranging from distributed research locating to network attack detection We Investigate Information management infrastructure Complex queries processing Knowledge discovery (clustering, outlier detection) We address various system issues overlay maintenance, load balancing, resilient to dynamic changes, adaptivity to query locality 3 9/17/2018

Location-aware Wireless Sensor Networks (WSNs) WSNs have a wide range of applications object tracking, environmental monitoring, warehouse inventory, and health care. Goal of our research build data management systems in support of data collection, aggregation, dissemination, in-network query processing and query optimization. We investigate location tracking of moving objects location-based routing complex query processing (window, KNN, and aggregation queries) Spatio-temporal modeling and estimation of wireless link quality in sensor networks 4 9/17/2018

Mobile and Pervasive Data Access Important for a wide range of mobile businesses and applications. We are one of the first few pioneers who started research in this area Indexing Caching Accessing Data aggregation Data dissemination Channel allocation Query processing Our work has extensive coverage from simple data to spatial data from single cell to multiple cells from stationery clients to moving clients 5 9/17/2018

Location-Based Services (LBSs) LBS is one of the killer applications for mobile computing and wireless data services. We investigate indexing and caching spatial data to support the processing of location based spatial queries (LBSQs) point query, window query, k nearest neighbor (KNN) search, continuous nearest neighbor (CNN) search, spatial join, and other complex spatial queries We address various issues large index search space, large index size, linear streaming property of wireless data broadcast, continuous movement and requests of mobile users, and cache replacement/invalidation 6 9/17/2018

Contact Information Dr. Wang-Chien Lee E-Mail: wlee@cse.psu.edu http://www.cse.psu.edu/~wlee/pda/ Mei Li E-Mail: meli@cse.psu.edu http://www.cse.psu.edu/~meli 7 9/17/2018