On Business Grid Demands and Approaches

This paper addresses necessary modification and extensions to existing Grid Computing approaches in order to meet modern business demand. Grid Computing has been traditionally used to solve large scientific problems, focussing more on accumulative use of computing power and processing large input and output files, typical for many scientific problems. Nowadays businesses have increasing computational demands, such that Grid technologies are of interest. However, the existing business requirements introduce new constraints on the design, configuration and operation of the underlying systems, including availability of resources, performance, monitoring aspects, security and isolation issues. This paper addresses the existing Grid Computing capabilities, discussing the additional demands in detail. This results in a suggestion of problem areas that must be investigated and corresponding technologies that should be used within future Business Grid systems.

[1]  Axel Keller,et al.  Managing Clusters of Geographically Distributed High-Performance Computers , 1999 .

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

[3]  Harvey B. Newman,et al.  High speed data gathering, distribution and analysis for physics discoveries at the large Hadron collider , 2006, SC.

[4]  Jarek Nabrzyski,et al.  Grid resource management: state of the art and future trends , 2004 .

[5]  Ethan L. Miller,et al.  Secure capabilities for a petabyte-scale object-based distributed file system , 2005, StorageSS '05.

[6]  David P. Anderson,et al.  SETI@home: an experiment in public-resource computing , 2002, CACM.

[7]  Yi Zhang,et al.  Towards the Autonomic Business Grid , 2007, Fourth IEEE International Workshop on Engineering of Autonomic and Autonomous Systems (EASe'07).

[8]  Axel Keller,et al.  Managing clusters of geographically distributed high-performance computers , 1999, Concurr. Pract. Exp..

[9]  Ramin Yahyapour Grid Resource Management-State of the Art and Future Trends, chapter Applying Economic Scheduling Me , 2003 .

[10]  Simon Miles Electronically Querying for the Provenance of Entities , 2006, IPAW.

[11]  Michael A. Rappa,et al.  The utility business model and the future of computing services , 2004, IBM Syst. J..

[12]  L. Smarr,et al.  Metacomputing : Siggraph'92 Showcase , 1992 .

[13]  Ian T. Foster,et al.  Overview of the I-Way: Wide-Area Visual Supercomputing , 1996, Int. J. High Perform. Comput. Appl..

[14]  Rajkumar Buyya,et al.  A taxonomy of market-based resource management systems for utility-driven cluster computing , 2006 .

[15]  Ritu Sabharwal Grid Infrastructure Deployment using SmartFrog Technology , 2006, International conference on Networking and Services (ICNS'06).

[16]  Rajkumar Buyya,et al.  A taxonomy of market‐based resource management systems for utility‐driven cluster computing , 2006, Softw. Pract. Exp..

[17]  H. Raghav Rao,et al.  A two-level investigation of information systems outsourcing , 1996, CACM.

[18]  Mike P. Papazoglou,et al.  Introduction: Service-oriented computing , 2003, CACM.

[19]  Robert B. Ross,et al.  PVFS: A Parallel File System for Linux Clusters , 2000, Annual Linux Showcase & Conference.

[20]  Zdenek Salvet,et al.  gLite Job Provenance , 2006, IPAW.

[21]  Tim Goles,et al.  Vendor capabilities and outsourcing success: A resource-based view , 2003, Wirtschaftsinf..

[22]  Ramin Yahyapour,et al.  Applying economic scheduling methods to Grid environments , 2004 .

[23]  David De Roure,et al.  Experiences with GRIA - Industrial Applications on a Web Services Grid , 2005, e-Science.

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

[25]  Jeanne W. Ross,et al.  Preparing for utility computing: The role of IT architecture and relationship management , 2004, IBM Syst. J..

[26]  Ian T. Foster,et al.  The Globus project: a status report , 1998, Proceedings Seventh Heterogeneous Computing Workshop (HCW'98).