IQ-services: network-aware middleware for interactive large-data applications
MGC '04 Proceedings of the 2nd workshop on Middleware for grid computing
Improving Middleware Performance with AdOC: An Adaptive Online Compression Library for Data Transfer
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Papers - Volume 01
An approach for fault tolerant and secure data storage in collaborative work environments
Proceedings of the 2005 ACM workshop on Storage security and survivability
I-RMI: performance isolation in information flow applications
Proceedings of the ACM/IFIP/USENIX 2005 International Conference on Middleware
I-RMI: performance isolation in information flow applications
Middleware'05 Proceedings of the ACM/IFIP/USENIX 6th international conference on Middleware
Adaptive Online Compression in Clouds--Making Informed Decisions in Virtual Machine Environments
Journal of Grid Computing
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We explore the use of compression methods to improve the middleware-based exchange of information in interactive or collaborative distributed applications. In such applications, good compression factors must be accompanied by compression speeds suitable for the data transfer rates sustainable across network links. Our approach combines methods that continuously monitor current network and processor resources and assess compression effectiveness, with techniques that automatically choose suitable compression techniques. The resulting network- and user-aware compression methods are evaluated experimentally across a range of network links and application data, the former ranging from low end links to homes, to wide-area Internet links, to high end links in intranets, the latter including both scientific (binary molecular dynamics data) and commercial (XML) data sets. Results attained demonstrate substantial improvements of this adaptive technique for data compression over non-adaptive approaches, where better compression methods are used when CPU loads are low and/or network links are slow, and where less effective and typically, faster compression techniques are used in high end network infrastructures.