Abstract
With the increase in the complexity of task, complex architectures such as grid systems and cluster computing are employed to process huge amount of data. The major problem issues of such task processing systems include heterogeneity, load balancing, synchronization etc. The network employed to perform complex computations are hybrid form of peer network that utilizes the power of peer nodes to perform computations. The proposed architecture is an attempt to process task provided by set of users with a load balancing mechanism and node prioritization for task allocation through the Nest network. The Nest Network proposed for Grid is a peer network that processes the complex task provided by user and returns the processed output.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Montresor, A., Meling, H., Babaoglu, O.: Messor: Load-Balancing through a Swarm of Autonomous Agents. Technical Report UBLCS-02-08, Department of Computer Science, University of Bologna (May 2002)
Peer-to-Peer Architecture Case Study: Gnutella Network, Matei Ripeanu
Foster, I., Kesselman, C., Tuecke, S.: The anatomy of the Grid: Enabling scalable virtual organization. The International Journal of High Performance Computing Applications 15(3), 200–222 (2001)
Venugopal, S., Buyya, R., Winton, L.: A grid service broker for scheduling e-science applications on global data grids. Concurrency and Computation: Practice and Experience (CCPE) 18(6), 685–699 (2006)
Foster, I., Kesselman, C.: The Grid: Blueprint for a new computing infrastructure. Morgan Kaufmann Publishers Inc., San Francisco (1999)
Ucar, B., Aykanat, C., Kaya, K., Ikinci, M.: Task assignment in heterogeneous computing system. Journal of parallel and Distributed Computing 66, 32–46 (2006)
Li, J., Kameda, H.: Load balancing problems for multiclass jobs in distributed/parallel computer systems. IEEE Transactions on Computers 47(3), 322–332 (1998)
Yagoubi, B., Lilia, H.T., Moussa Department, H.S.: of Computer Science,University of Oran,Algeria load Balancing in Grid Computing. Asin Journal of Information Technology 5(10), 1095–1103 (2006)
Dandamudi, S.P.: Sensitivity evaluation of dynamic load sharing in distributed systems. IEEE Concurrency 6(3), 62–72 (1998)
Wu, J.: Distributed System Design. CRC Press, Boca Raton (1999)
Distributed processing in support of an imaging project, Brian Culver, Department of Computer Science, Sam Houston State University, Huntsville, Texas 77341-2090
Attiya, G., Hamam, Y.: Two phasealgorithm for load balancing in heterogeneous distributed systems. In: Proc. 12th IEEE EUROMICRO conference on Parallel, Distributed and Network-based Processing, Coruna, Spain, pp. 434–439 (2004)
Beltran, M., Guzman, A., Bosque, J.L.: Dealing with heterogeneity in load balancing algorithm. In: Proc. 5th IEEE International Symposium on Parallel and Distributed Computing, Timisoara, Romania, pp. 123–132 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Gupta, T., Tyagi, V. (2011). A Novel Approach for Task Processing through NEST Network in a Grid. In: Mantri, A., Nandi, S., Kumar, G., Kumar, S. (eds) High Performance Architecture and Grid Computing. HPAGC 2011. Communications in Computer and Information Science, vol 169. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22577-2_3
Download citation
DOI: https://doi.org/10.1007/978-3-642-22577-2_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-22576-5
Online ISBN: 978-3-642-22577-2
eBook Packages: Computer ScienceComputer Science (R0)