The concave least-weight subsequence problem revisited
Journal of Algorithms
Sequence comparison with mixed convex and concave costs
Journal of Algorithms
A caching relay for the World Wide Web
Selected papers of the first conference on World-Wide Web
Perspectives of Monge properties in optimization
Discrete Applied Mathematics
Internet Web servers: workload characterization and performance implications
IEEE/ACM Transactions on Networking (TON)
On the Optimal Placement of Web Proxies in the Internet: The Linear Topology
HPN '98 Proceedings of the IFIP TC-6 Eigth International Conference on High Performance Networking
The k-Median Problem for Directed Trees
MFCS '01 Proceedings of the 26th International Symposium on Mathematical Foundations of Computer Science
Designing cost-effective content distribution networks
Computers and Operations Research
Computers and Operations Research
The Knuth-Yao quadrangle-inequality speedup is a consequence of total monotonicity
ACM Transactions on Algorithms (TALG)
DCOSS'07 Proceedings of the 3rd IEEE international conference on Distributed computing in sensor systems
IEEE Transactions on Information Theory
New algorithms for 1-D facility location and path equipartition problems
WADS'11 Proceedings of the 12th international conference on Algorithms and data structures
Online dynamic programming speedups
WAOA'06 Proceedings of the 4th international conference on Approximation and Online Algorithms
Hi-index | 0.06 |
In a recent paper (Proceedings of IFIP'98), Li et al. study the problem of placing m web proxies in the internet under a given traffic pattern. They consider the special case of a linear net topology with n nodes. Their goal is to minimize the overall latency of accessing the target web server subject to the network resources and traffic pattern. They show how this problem can be solved in O(n^2m) time. In this short note, we observe that one of the underlying cost functions in this problem carries a Monge structure. By exploiting this structure and by applying some well-known results from the literature, we get a faster algorithm with time complexity O(nm).