Multimedia: computing, communications and applications
Multimedia: computing, communications and applications
Locating nearby copies of replicated Internet servers
SIGCOMM '95 Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
On choosing a task assignment policy for a distributed server system
Journal of Parallel and Distributed Computing - Special issue on software support for distributed computing
Application-layer anycasting: a server selection architecture and use in a replicated Web service
IEEE/ACM Transactions on Networking (TON)
Protocol Design for Local and Metropolitan Area Networks
Protocol Design for Local and Metropolitan Area Networks
An Empirical Model of HTTP Network Traffic
INFOCOM '97 Proceedings of the INFOCOM '97. Sixteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Driving the Information Revolution
A Behavioral Model of Web Traffic
ICNP '99 Proceedings of the Seventh Annual International Conference on Network Protocols
A Dynamic Object Replication and Migration Protocol for an Internet Hosting Service
ICDCS '99 Proceedings of the 19th IEEE International Conference on Distributed Computing Systems
Performance Evaluation of a Probabilistic Replica Selection Algorithm
WORDS '02 Proceedings of the The Seventh IEEE International Workshop on Object-Oriented Real-Time Dependable Systems (WORDS 2002)
A distributed algorithm for constructing a minimum diameter spanning tree
Journal of Parallel and Distributed Computing
The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver
IEEE Transactions on Computers
Wide-area Internet traffic patterns and characteristics
IEEE Network: The Magazine of Global Internetworking
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As many Web services have become very popular over the past few years, users are facing the problem of the perceived QoS. Practical approaches to address this issue are based on service replication at multiple locations and on allocation mechanisms to dispatch requests in such a way that the QoS perceived by the user is improved. In this paper we compare user perceived QoS performance of three Dynamic Request Placement techniques. One technique randomly allocates Web requests while the other two techniques implements a market-based mechanism for QoS negotiation and request allocation. The analysis is conducted via simulation with SIDE using a Behavioral Model of Web traffic to simulate accurate traffic conditions and determine the limitations or validity of these techniques.