A data intensive distributed computing architecture for “grid” applications
Future Generation Computer Systems - Special issue on high performance computing and networking Europe 1999
Proceedings of the 2000 workshop on New security paradigms
A Framework for Evaluating Storage System Security
FAST '02 Proceedings of the Conference on File and Storage Technologies
Titan: A High-Performance Remote Sensing Database
ICDE '97 Proceedings of the Thirteenth International Conference on Data Engineering
Improving Parallel-Disk Buffer Management using Randomized Writeback
ICPP '98 Proceedings of the 1998 International Conference on Parallel Processing
Data partitioning and load balancing in parallel disk systems
The VLDB Journal — The International Journal on Very Large Data Bases
Toward a Taxonomy and Costing Method for Security Services
ACSAC '99 Proceedings of the 15th Annual Computer Security Applications Conference
Selection Algorithms for Parallel Disk Systems
HIPC '98 Proceedings of the Fifth International Conference on High Performance Computing
Distributed, on-demand, data-intensive and collaborative simulation analysis
Future Generation Computer Systems - iGrid 2002
Future Generation Computer Systems - iGrid 2002
Digital libraries and educational practice: a case for new models
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
SAREC: A Security-Aware Scheduling Strategy for Real-Time Applications on Clusters
ICPP '05 Proceedings of the 2005 International Conference on Parallel Processing
The impact of data replication on job scheduling performance in the Data Grid
Future Generation Computer Systems
MAPFS: a flexible multiagent parallel file system for clusters
Future Generation Computer Systems - Parallel input/output management techniques (PIOMT) in cluster and grid computing
Scheduling Security-Critical Real-Time Applications on Clusters
IEEE Transactions on Computers
A universal access smart-card-based secure file system
ALS'99 Proceedings of the 3rd annual conference on Atlanta Linux Showcase - Volume 3
Design and analysis of a load balancing strategy in data grids
Future Generation Computer Systems - Special section: Data mining in grid computing environments
Enhancing security of real-time applications on grids through dynamic scheduling
JSSPP'05 Proceedings of the 11th international conference on Job Scheduling Strategies for Parallel Processing
QoS-aware middleware for ubiquitous and heterogeneous environments
IEEE Communications Magazine
A high performance data integrity assurance based on the determinant technique
Future Generation Computer Systems
CaPaS: an optimal security-aware cache replacement algorithm for cluster storage systems
International Journal of High Performance Systems Architecture
Editorial: Recent developments in high performance computing and security: An editorial
Future Generation Computer Systems
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Securing storage resources in Grid environments has increasingly become a major concern to make Grids attractive for a wide range of data-intensive applications, because security requirements are often imposed on storage resources to support security-critical applications. However, existing storage systems are unable to dynamically adjust their quality of security to meet the flexible security needs of complex data-intensive applications. To remedy this deficiency, we propose in this paper a quality of security framework, or StReD, for storage resources in Data Grids. In this framework, we integrate a quality of security adaptor with an array of security services. Applications running in the framework are enabled to specify flexible security requirements and the desired response times of disk requests. The framework leverages the adaptor to dynamically control the quality of security for disk requests, thereby achieving good tradeoffs between the security and storage system throughput. Experimental results based on a simulated Grid with storage resources show that the proposed framework is capable of significantly improving the quality of security and guaranteeing the desired response times of disk requests.