Scalable Data Provisioning Scheme on Large-Scale Distributed Computing Environment


The KIPS Transactions:PartA, Vol. 18, No. 4, pp. 123-128, Aug. 2011
10.3745/KIPSTA.2011.18.4.123,   PDF Download:

Abstract

As the global grid has grown in size, large-scale distributed data analysis schemes have gained momentum. Over the last few years, a number of methods have been introduced for allocating data intensive tasks across distributed and heterogeneous computing platforms. However, these approaches have a limited potential for scaling up computing nodes so that they can serve more tasks simultaneously. This paper tackles the scalability and communication delay for computing nodes. We propose a distributed data node for storing and allocating the data. This paper also provides data provisioning method based on the steady states for minimizing the communication delay between the data source and the computing nodes. The experimental results show that scalability and communication delay can be achieved in our system.


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Cite this article
[IEEE Style]
B. S. Kim and C. H. Youn, "Scalable Data Provisioning Scheme on Large-Scale Distributed Computing Environment," The KIPS Transactions:PartA, vol. 18, no. 4, pp. 123-128, 2011. DOI: 10.3745/KIPSTA.2011.18.4.123.

[ACM Style]
Byungs Sang Kim and Chan Hyun Youn. 2011. Scalable Data Provisioning Scheme on Large-Scale Distributed Computing Environment. The KIPS Transactions:PartA, 18, 4, (2011), 123-128. DOI: 10.3745/KIPSTA.2011.18.4.123.