Pervasive Systems Architecture and the Main Related Technologies

The scope of data management in pervasive systems is to give users an instantaneous and complete access to any information at anytime and anywhere in highly dynamic environments where both data and source availabilities vary with high frequency, especially with regard to location and time. In a certain sense, it represents an inverse paradigm with respect to distributed databases: we do not speak anymore of users acting on a passive database but of devices that act both as data producers and consumers, while the system can process the incoming data selecting, for each individual user, the interesting bit of information.

[1]  Hector Garcia-Molina,et al.  Main Memory Database Systems: An Overview , 1992, IEEE Trans. Knowl. Data Eng..

[2]  Jan Lindström,et al.  Relaxed Correctness for Firm Real-Time Databases , 2006, 12th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA'06).

[3]  M. B. Wilk,et al.  Data analysis and statistics: an expository overview , 1966, AFIPS '66 (Fall).

[4]  Daniel Tunkelang,et al.  Faceted Search , 2009, Synthesis Lectures on Information Concepts, Retrieval, and Services.

[5]  Chien-Chung Shen,et al.  Sensor information networking architecture and applications , 2001, IEEE Wirel. Commun..

[6]  Jörgen Hansson,et al.  Misconceptions About Real-Time Databases , 1999, Computer.

[7]  Franco Zambonelli,et al.  Social sensors and pervasive services: Approaches and perspectives , 2011, 2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops).

[8]  Sang Hyuk Son,et al.  Real-Time Databases and Data Services , 2004, Real-Time Systems.

[9]  Christoph Schroth,et al.  Web 2.0 and SOA: Converging Concepts Enabling the Internet of Services , 2007, IT Professional.

[10]  E. Brewer,et al.  CAP twelve years later: How the "rules" have changed , 2012, Computer.

[11]  Michael Stonebraker,et al.  Implementation techniques for main memory database systems , 1984, SIGMOD '84.

[12]  Sivan Toledo,et al.  Algorithms and data structures for flash memories , 2005, CSUR.

[13]  F. Schreiber,et al.  PerLa: A Language and Middleware Architecture for Data Management and Integration in Pervasive Information Systems , 2012, IEEE Transactions on Software Engineering.

[14]  Letizia Tanca,et al.  Data Mining for XML Query-Answering Support , 2012, IEEE Transactions on Knowledge and Data Engineering.

[15]  Donald F. Towsley,et al.  Scheduling transactions with temporal constraints: exploiting data semantics , 1996, 17th IEEE Real-Time Systems Symposium.

[16]  Michael J. Carey,et al.  A Study of Index Structures for a Main Memory Database Management System , 1986, HPTS.

[17]  Hans-Peter Kriegel,et al.  Data Mining: The Next Generation , 2004 .

[18]  Nader Mohamed,et al.  Middleware: middleware challenges and approaches for wireless sensor networks , 2006, IEEE Distributed Systems Online.

[19]  Wei Hong,et al.  TinyDB: an acquisitional query processing system for sensor networks , 2005, TODS.

[20]  Werner Vogels,et al.  Dynamo: amazon's highly available key-value store , 2007, SOSP.

[21]  George M. Giaglis,et al.  A Design Theory for Pervasive Information Systems , 2006, IWUC.

[22]  Erik Brynjolfsson,et al.  Big data: the management revolution. , 2012, Harvard business review.

[23]  Ralph Kimball,et al.  The Data Warehouse Toolkit: Practical Techniques for Building Dimensional Data Warehouses , 1996 .

[24]  Vipin Kumar,et al.  Introduction to Data Mining , 2022, Data Mining and Machine Learning Applications.

[25]  Guan Le,et al.  Survey on NoSQL database , 2011, 2011 6th International Conference on Pervasive Computing and Applications.

[26]  Özgür Ulusoy An annotated bibliography on real-time database systems , 1995, SGMD.

[27]  Alain Pirotte,et al.  Controlled Generation of Intensional Answers , 1991, IEEE Trans. Knowl. Data Eng..

[28]  Syed Akhter Hossain,et al.  NoSQL Database: New Era of Databases for Big data Analytics - Classification, Characteristics and Comparison , 2013, ArXiv.

[29]  Michael J. Carey,et al.  Query processing in main memory database management systems , 1986, SIGMOD '86.

[30]  F. Stokman Evolution of social networks , 1997 .