Future Generation Computer Systems - Special issue on metacomputing
Data management and transfer in high-performance computational grid environments
Parallel Computing - Parallel data-intensive algorithms and applications
Using Disk Throughput Data in Predictions of End-to-End Grid Data Transfers
GRID '02 Proceedings of the Third International Workshop on Grid Computing
Giggle: a framework for constructing scalable replica location services
Proceedings of the 2002 ACM/IEEE conference on Supercomputing
MSS '01 Proceedings of the Eighteenth IEEE Symposium on Mass Storage Systems and Technologies
Rules of Thumb in Data Engineering
ICDE '00 Proceedings of the 16th International Conference on Data Engineering
Enabling the Co-Allocation of Grid Data Transfers
GRID '03 Proceedings of the 4th International Workshop on Grid Computing
Eliminating Replica Selection - Using Multiple Replicas to Accelerate Data Transfer on Grids
ICPADS '04 Proceedings of the Parallel and Distributed Systems, Tenth International Conference
A Networking Approach to Grid Computing
A Networking Approach to Grid Computing
Storage Networking Fundamentals: An Introduction to Storage Devices, Subsystems, Applications, Management, and File Systems (Cisco Press Fundamentals)
A taxonomy of Data Grids for distributed data sharing, management, and processing
ACM Computing Surveys (CSUR)
ReCon: A Fast and Reliable Replica Retrieval Service for the Data Grid
CCGRID '06 Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid
Proceedings of the 2006 ACM symposium on Applied computing
Distributed Data Management for Grid Computing
Distributed Data Management for Grid Computing
On incorporating differentiated levels of network service into GridSim
Future Generation Computer Systems
Improvements on dynamic adjustment mechanism in co-allocation data grid environments
The Journal of Supercomputing
Globus GridFTP: what's new in 2007
Proceedings of the first international conference on Networks for grid applications
Implementation of replication methods in the grid environment
EGC'05 Proceedings of the 2005 European conference on Advances in Grid Computing
Network coding for creating replica in grid environments
HPCA'09 Proceedings of the Second international conference on High Performance Computing and Applications
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Several recent studies suggest that co-allocation techniques can improve user performance for distributed data retrieval in replicated grid systems. These studies demonstrate that co-allocation techniques can improve network bandwidth and network transfer times by concurrently utilizing as many data grid replicas as possible. However, these prior studies evaluate their techniques from a single user's perspective and overlook evaluations of system wide performance when multiple users are using co-allocation techniques. In our study, we provide multi-user evaluations of a co-allocation technique for replicated data in a controlled grid environment. We find that co-allocation works well under low-load conditions when there are only a few users using co-allocation. However, co-allocation works very poorly for medium and high-load conditions since the response time for co-allocating users grows rapidly as the number of grid users increases. The decreased performance for co-allocating users can be directly attributed to the increased workload that their greedy retrieval technique places on the replicas in the grid. Overall, we determine that uninformed, blind utilization of greedy co-allocation techniques by multiple users is detrimental to global system performance.