On the self-similar nature of Ethernet traffic (extended version)
IEEE/ACM Transactions on Networking (TON)
Wide area traffic: the failure of Poisson modeling
IEEE/ACM Transactions on Networking (TON)
IEEE/ACM Transactions on Networking (TON)
Cluster-based scalable network services
Proceedings of the sixteenth ACM symposium on Operating systems principles
ONE-IP: techniques for hosting a service on a cluster of machines
Selected papers from the sixth international conference on World Wide Web
An active service framework and its application to real-time multimedia transcoding
Proceedings of the ACM SIGCOMM '98 conference on Applications, technologies, architectures, and protocols for computer communication
Locality-aware request distribution in cluster-based network servers
Proceedings of the eighth international conference on Architectural support for programming languages and operating systems
SWEB: Towards a Scalable World Wide Web Server on Multicomputers
IPPS '96 Proceedings of the 10th International Parallel Processing Symposium
Aggregate TCP Congestion Control Using Multiple Network Probing
ICDCS '00 Proceedings of the The 20th International Conference on Distributed Computing Systems ( ICDCS 2000)
High-performance caching with the Lava hit-server
ATEC '98 Proceedings of the annual conference on USENIX Annual Technical Conference
Using smart clients to build scalable services
ATEC '97 Proceedings of the annual conference on USENIX Annual Technical Conference
Buffer management schemes for supporting TCP in gigabit routers with per-flow queueing
IEEE Journal on Selected Areas in Communications
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This paper introduces a novel algorithm for content based switching. A content based scheduling algorithm (QoS Aware Load Balancing Algorithm, QoS-LB) which can be used at the front-end of the server cluster is presented. The front-end switch uses the content information of the requests and the load on the back servers to choose the server to handle each request. At the same time, different Quality of Service (QoS) classes of the customers can be considered as one parameter in the load balancing algorithm. This novel feature becomes more important when service providers begin to offer the same services for customers with different priorities.