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Journal of Algorithms, 37(1): 146-188. Korupolu, Madhukar, Plaxton, Greg, and Rajaraman, Rajmohan (2001). Placement Algorithms for Hierarchical Cooperative Caching. , and Westermann, M. (2001). Approximation Algorithms for Data Management in Networks. In ACM Symposium on Parallel Algorithms and Architectures (SPAA), pages 237-246, Heraklion, Greece. Kurose, James and Simha, Rahul (1989). A Microeconomic Approach to Optimal Resource Allocation in Distributed Computer Systems. IEEE Transactions on Computers, 38(5):705-717.

How well or how bad, is an open question. , 2003, Dowdy and Foster, 1982], but it is unclear how it compares to the indirect way. The information that an RPA receives in order to make a decision can be more or less accurate. , 2001]. Metrics such as access time and load time are trivial to get 100% correct locally on a node. , 1999]. This uncertainty of the measurements should be taken into account when evaluating an RPA. A fair number of RPAs have been proposed that take a large number of parameters into account, but it is unclear if any of them has a significant impact on the overall goal, as they many times are evaluated using perfect information.

A thorough survey of these algorithms can be found in [Androutsellis-Theotokis and Spinellis, 2004]. 2 Discussion The characteristics of request routing algorithms that mainly decide the performance of them are: the extent of knowledge of what nodes that hold some content, we call this routing knowledge', and the prediction of what request la- Replica Placement and Request Routing 39 tency each node will provide. We will illustrate these performance implications with some examples. Consider the problem of request routing when the system only consists of local caches.

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