Information Aggregation Techniques in Different Networks

aggregation is a method for reducing the information being exchanged between Grid networks. Resource manager takes the scheduling decisions by using this aggregated information. Aggregated information is kept across each node and the detailed information is kept private, but the resources are available publicly for use. This paper does a comparative study for some of the information aggregation techniques used in different networks.

[1]  Pramod K. Varshney,et al.  Data-aggregation techniques in sensor networks: a survey , 2006, IEEE Communications Surveys & Tutorials.

[2]  Deborah Estrin,et al.  Directed diffusion for wireless sensor networking , 2003, TNET.

[3]  Kai Hwang,et al.  Distributed Aggregation Algorithms with Load-Balancing for Scalable Grid Resource Monitoring , 2007, 2007 IEEE International Parallel and Distributed Processing Symposium.

[4]  Katherine A. Heller,et al.  Bayesian hierarchical clustering , 2005, ICML.

[5]  Xiaolin Li,et al.  VectorTrust: trust vector aggregation scheme for trust management in peer-to-peer networks , 2009, 2009 Proceedings of 18th International Conference on Computer Communications and Networks.

[6]  Hector Garcia-Molina,et al.  The Eigentrust algorithm for reputation management in P2P networks , 2003, WWW '03.

[7]  Ian T. Foster,et al.  Grid information services for distributed resource sharing , 2001, Proceedings 10th IEEE International Symposium on High Performance Distributed Computing.

[9]  Emmanouel A. Varvarigos,et al.  Scheduling efficiency of resource information aggregation in grid networks , 2012, Future Gener. Comput. Syst..

[10]  Marco Furini,et al.  International Journal of Computer and Applications , 2010 .

[11]  Yannis A. Dimitriadis,et al.  Grid Characteristics and Uses: A Grid Definition , 2003, European Across Grids Conference.

[12]  Piet Van Mieghem.  Topology Information Condensation in Hierarchical Networks , 1999, Comput. Networks.

[13]  Emmanouel Varvarigos,et al.  Data Consolidation and Information Aggregation in Grid Networks , 2011 .

[14]  Liana L. Fong,et al.  Grid broker selection strategies using aggregated resource information , 2010, Future Gener. Comput. Syst..