Experimental studies using photonic data services at IGrid 2002

We describe an architecture for remote and distributed data intensive applications that integrates optical path services, network protocol services for high performance data transport, and data services for remote data analysis and distributed data mining. We also present experimental evidence using geoscience data that this architecture scales to long haul, high performance networks.

[1]  Jean C. Walrand,et al.  High-performance communication networks , 1999 .

[2]  James J. Hack,et al.  Response of Climate Simulation to a New Convective Parameterization in the National Center for Atmospheric Research Community Climate Model (CCM3) , 1998 .

[3]  Gary Carpenter.  동적 사용자를 위한 Scalable 인증 그룹 키 교환 프로토콜 , 2005 .

[4]  Yike Guo,et al.  Parallel Induction Algorithms for Data Mining , 1997, IDA.

[5]  H. Sivakumar,et al.  Papyrus: A System for Data Mining over Local and Wide Area Clusters and Super-Clusters , 1999, ACM/IEEE SC 1999 Conference (SC'99).

[6]  Robert L. Grossman,et al.  PSockets: The Case for Application-level Network Striping for Data Intensive Applications using High Speed Wide Area Networks , 2000, ACM/IEEE SC 2000 Conference (SC'00).

[7]  Heikki Mannila,et al.  Proceedings of the Third International Conference on Knowledge Discovery and Data Mining , 1997 .

[8]  Robert L. Grossman,et al.  DataSpace: a data Web for the exploratory analysis and mining of data , 2002, Comput. Sci. Eng..

[9]  Joel H. Saltz,et al.  Distributed processing of very large datasets with DataCutter , 2001, Parallel Comput..

[10]  Philip K. Chan,et al.  Advances in Distributed and Parallel Knowledge Discovery , 2000 .

[11]  Reagan Moore,et al.  Data-intensive computing , 1998 .

[12]  Robert L. Grossman,et al.  Data mining standards initiatives , 2002, CACM.

[13]  Robert L. Grossman,et al.  Merging Multiple Data Streams on Common Keys over High Performance Networks , 2002, ACM/IEEE SC 2002 Conference (SC'02).

[14]  Ramesh Karri,et al.  Architectures and protocols that enable new applications on optical networks , 2001 .

[15]  Lixia Zhang,et al.  NETBLT: a high throughput transport protocol , 1987, Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication.

[16]  Ami Marowka,et al.  The GRID: Blueprint for a New Computing Infrastructure , 2000, Parallel Distributed Comput. Pract..

[17]  Salvatore J. Stolfo,et al.  JAM: Java Agents for Meta-Learning over Distributed Databases , 1997, KDD.

[18]  Ian Foster,et al.  The Grid 2 - Blueprint for a New Computing Infrastructure, Second Edition , 1998, The Grid 2, 2nd Edition.

[19]  Vipin Kumar,et al.  High Performance Data Mining , 1999, VECPAR.

[20]  Robert L. Grossman,et al.  Simple Available Bandwidth Utilization Library for High-Speed Wide Area Networks , 2005, The Journal of Supercomputing.

[21]  Robert L. Grossman,et al.  Photonic Data Services: Integrating Data, Network and Path Services to Support Next Generation Data Mining Applications , 2004 .

[22]  Steven Tuecke,et al.  Protocols and services for distributed data-intensive science , 2002 .

[23]  I. Hamzaoglu H. Kargupta,et al.  Distributed Data Mining Using An Agent Based Architecture , 1997, KDD 1997.

[24]  Robert L. Grossman,et al.  A High Performance Implementation of the Data Space Transfer Protocol (DSTP) , 1999, Large-Scale Parallel Data Mining.

[25]  Ian T. Foster,et al.  The data grid: Towards an architecture for the distributed management and analysis of large scientific datasets , 2000, J. Netw. Comput. Appl..