Directed diffusion: a scalable and robust communication paradigm for sensor networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
High Performance Mass Storage and Parallel I/O: Technologies and Applications
High Performance Mass Storage and Parallel I/O: Technologies and Applications
Data management and transfer in high-performance computational grid environments
Parallel Computing - Parallel data-intensive algorithms and applications
Identifying Dynamic Replication Strategies for a High-Performance Data Grid
GRID '01 Proceedings of the Second International Workshop on Grid Computing
Decoupling Computation and Data Scheduling in Distributed Data-Intensive Applications
HPDC '02 Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing
MSS '01 Proceedings of the Eighteenth IEEE Symposium on Mass Storage Systems and Technologies
Content and service replication strategies in multi-hop wireless mesh networks
MSWiM '05 Proceedings of the 8th ACM international symposium on Modeling, analysis and simulation of wireless and mobile 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
An on-line replication strategy to increase availability in Data Grids
Future Generation Computer Systems
Benefit-Based Data Caching in Ad Hoc Networks
IEEE Transactions on Mobile Computing
A dynamic data replication strategy using access-weights in data grids
The Journal of Supercomputing
Replica selection strategies in data grid
Journal of Parallel and Distributed Computing
Dynamic Replica Placement and Location Strategies for Data Grid
CSSE '08 Proceedings of the 2008 International Conference on Computer Science and Software Engineering - Volume 03
Impact of Parallel Download on Job Scheduling in Data Grid Environment
GCC '08 Proceedings of the 2008 Seventh International Conference on Grid and Cooperative Computing
Future Generation Computer Systems
Branch replication scheme: A new model for data replication in large scale data grids
Future Generation Computer Systems
Dynamic replication algorithms for the multi-tier Data Grid
Future Generation Computer Systems - Special issue: Parallel computing technologies
Dynamic replication in a data grid using a Modified BHR Region Based Algorithm
Future Generation Computer Systems
PHFS: A dynamic replication method, to decrease access latency in the multi-tier data grid
Future Generation Computer Systems
Dynamic QoS-aware data replication in grid environments based on data "importance"
Future Generation Computer Systems
PDDRA: A new pre-fetching based dynamic data replication algorithm in data grids
Future Generation Computer Systems
Computers and Operations Research
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Data Grid is a geographically distributed environment that deals with large-scale data-intensive applications. Effective scheduling in Grid can reduce the amount of data transferred among nodes by submitting a job to a node, where most of the requested data files are available. Data replication is another key optimization technique for reducing access latency and managing large data by storing data in a wisely manner. In this paper, two algorithms are proposed: first, a novel job scheduling algorithm called Combined Scheduling Strategy (CSS) that considers the number of jobs waiting in queue, the location of required data for the job, and computational capability; second, a dynamic data replication strategy called Dynamic Hierarchical Replication Algorithm (DHRA) that improves file access time. DHRA stores each replica in an appropriate site, i.e., appropriate site in the requested region that has the highest number of access for that particular replica. Also, it can minimize access latency by selecting the best replica when various sites hold replicas of datasets. The simulation results demonstrate the proposed replication and scheduling strategies give better performance compared to the other algorithms.