Adaptive load sharing in homogeneous distributed systems
IEEE Transactions on Software Engineering
Adaptive algorithms for managing a distributed data processing workload
IBM Systems Journal
Locality-aware request distribution in cluster-based network servers
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Web content adaptation to improve server overload behavior
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ACM Computing Surveys (CSUR)
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Computer Networks: The International Journal of Computer and Telecommunications Networking - 01/14/2002
Middle-Tier Extensible Data Management
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A Scalable Web Server Architecture
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Dynamic Load Balancing on Web-Server Systems
IEEE Internet Computing
Proceedings of the IFIP 17th World Computer Congress - TC6 Stream on Communication Systems: The State of the Art
Offering a Precision-Performance Tradeoff for Aggregation Queries over Replicated Data
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ISPASS '00 Proceedings of the 2000 IEEE International Symposium on Performance Analysis of Systems and Software
Scalable content-aware request distribution in cluster-based networks servers
ATEC '00 Proceedings of the annual conference on USENIX Annual Technical Conference
A middleware system for protecting against application level denial of service attacks
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Journal of Network and Computer Applications
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ISPDC'03 Proceedings of the Second international conference on Parallel and distributed computing
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Middleware'06 Proceedings of the 7th ACM/IFIP/USENIX international conference on Middleware
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ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part IV
Experience using a coordination-based architecture for adaptive web content provision
COORDINATION'05 Proceedings of the 7th international conference on Coordination Models and Languages
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Contemporary Web sites typically consist of front–end Web servers, application servers, and back-end information systems such as database servers. There has been limited research on how to provide overload control and service differentiation for the back-end systems. In this paper we propose an architecture called tiered service (TS) for these purposes. In TS, there are several heterogeneous back-end systems to serve the Web applications. The Web applications communicate with a routing intermediary to intelligently route the queries to the appropriate back-end servers based on various policies such as client profiles and server load. In our system the back ends may store different qualities of data; lower quality data typically requires less overhead to serve. The main contributions of this paper include (i) a tiered content replication scheme that replicates tiered qualities of data on heterogeneous back ends with different capacity to satisfy clients with diverse requirements for latency and quality of data, and (ii) an application-transparent query routing architecture that automatically routes the queries to the appropriate back ends. The architecture was implemented in our test bed, and its performance was benchmarked. The experimental results demonstrate that TS offers significant performance improvement.