@inproceedings{ccad6b426f5e4399bb2fd28a51ac4f2d,
title = "Data scheduling for large scale distributed applications",
abstract = "Current large scale distributed applications studied by large research communities result in new challenging problems in widely distributed environments. Especially, scientific experiments using geographically separated and heterogeneous resources necessitated transparently accessing distributed data and analyzing huge collection of information. We focus on data-intensive distributed computing and describe data scheduling approach to manage large scale scientific and commercial applications. We identify parameters affecting data transfer and also analyze different scenarios for possible use cases of data placement tasks to discover key attributes for performance optimization. We are planning to define crucial factors in data placement in widely distributed systems and develop a strategy to schedule data transfers according to characteristics of dynamically changing distributed environments.",
keywords = "Data placement, Data-intensive applications, Distributed computing, Grid environment, Scheduling",
author = "Mehmet Balman and Tevfik Kosar",
year = "2007",
language = "English",
isbn = "9789898111043",
series = "Proceedings of the 5th ICEIS Doctoral Consortium, DCEIS 2007 - In Conjunction with ICEIS 2007",
pages = "50--61",
booktitle = "Proceedings of the 5th ICEIS Doctoral Consortium, DCEIS 2007 - In Conjunction with ICEIS 2007",
note = "5th Doctoral Consortium on Enterprise Information Systems, DCEIS - In Conjunction with the 9th International Conference on Enterprise Information Systems, ICEIS 2007 ; Conference date: 12-06-2007 Through 12-06-2007",
}