An adaptive data replication algorithm
ACM Transactions on Database Systems (TODS)
Dynamic mapping of a class of independent tasks onto heterogeneous computing systems
Journal of Parallel and Distributed Computing - Special issue on software support for distributed computing
IEEE Transactions on Parallel and Distributed Systems
When the Herd Is Smart: Aggregate Behavior in the Selection of Job Request
IEEE Transactions on Parallel and Distributed Systems
Locating Data in (Small-World?) Peer-to-Peer Scientific Collaborations
IPTPS '01 Revised Papers from the First International Workshop on Peer-to-Peer Systems
Theory and Practice in Parallel Job Scheduling
IPPS '97 Proceedings of the Job Scheduling Strategies for Parallel Processing
Metrics and Benchmarking for Parallel Job Scheduling
IPPS/SPDP '98 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
HPDC '03 Proceedings of the 12th IEEE International Symposium on High Performance Distributed Computing
Simulation of Dynamic Data Replication Strategies in Data Grids
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
The Grid 2: Blueprint for a New Computing Infrastructure
The Grid 2: Blueprint for a New Computing Infrastructure
Job Superscheduler Architecture and Performance in Computational Grid Environments
Proceedings of the 2003 ACM/IEEE conference on Supercomputing
Dynamic replication algorithms for the multi-tier Data Grid
Future Generation Computer Systems - Special issue: Parallel computing technologies
The data building blocks of the enterprise architect
Future Generation Computer Systems - Special section: Information engineering and enterprise architecture in distributed computing environments
Parameter optimization in 3D reconstruction on a large scale grid
Parallel Computing
StReD: A quality of security framework for storage resources in Data Grids
Future Generation Computer Systems
Job scheduling and data replication on data grids
Future Generation Computer Systems
Decentralized data management framework for data grids
Future Generation Computer Systems - Special section: Data mining in grid computing environments
A global and parallel file system for grids
Future Generation Computer Systems - Special section: Data mining in grid computing environments
Design and analysis of a load balancing strategy in data grids
Future Generation Computer Systems - Special section: Data mining in grid computing environments
Concurrency control issues in grid databases
Future Generation Computer Systems - Special section: Data mining in grid computing environments
An on-line replication strategy to increase availability in Data Grids
Future Generation Computer Systems
Efficient reuse of replicated parallel data segments in computational grids
Future Generation Computer Systems
Performance of file replication policies for real-time file access in data grids
Proceedings of the first international conference on Networks for grid applications
A dynamic data replication strategy using access-weights in data grids
The Journal of Supercomputing
Future Generation Computer Systems
A Recursively-Adjusting Co-allocation scheme with a Cyber-Transformer in Data Grids
Future Generation Computer Systems
Future Generation Computer Systems
Multi-cost job routing and scheduling in Grid networks
Future Generation Computer Systems
An integrated security-aware job scheduling strategy for large-scale computational grids
Future Generation Computer Systems
Online job provisioning for large scale science experiments over an optical grid infrastructure
INFOCOM'09 Proceedings of the 28th IEEE international conference on Computer Communications Workshops
Safety scheduling strategies in distributed computing
International Journal of Critical Computer-Based Systems
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In the Data Grid environment, the primary goal of data replication is to shorten the data access time experienced by the job and consequently reduce the job turnaround time. After introducing a Data Grid architecture that supports efficient data access for the Grid job, the dynamic data replication algorithms are put forward. Combined with different Grid scheduling heuristics, the performances of the data replication algorithms are evaluated with various simulations. The simulation results demonstrate that the dynamic replication algorithms can reduce the job turnaround time remarkably. In particular, the combination of shortest turnaround time scheduling heuristic (STT) and centralized dynamic replication with response-time oriented replica placement (CDR_RTPlace) exhibits remarkable performance in diverse system environments and job workloads.