Title :
Hierarchical placement and network design problems
Author :
Guha, Sudipto ; Meyerson, Adam ; Munagala, Kamesh
Author_Institution :
Dept. of Comput. Sci., Stanford Univ., CA, USA
Abstract :
Gives constant approximations for a number of layered network design problems. We begin by modeling hierarchical caching, where the caches are placed in layers and each layer satisfies a fixed percentage of the demand (bounded miss rates). We present a constant approximation to the minimum total cost of placing the caches and to the routing demand through the layers. We extend this model to cover more general layered caching scenarios, giving a constant combinatorial approximation to the well-studied multi-level facility location problem. We consider a facility location variant, the load-balanced facility location problem, in which every demand is served by a unique facility and each open facility must serve at least a certain amount of demand. By combining load-balanced facility location with our results on hierarchical caching, we give a constant approximation for the access network design problem
Keywords :
approximation theory; cache storage; facility location; file organisation; hierarchical systems; network synthesis; resource allocation; subscriber loops; access network design problem; bounded miss rates; combinatorial approximation; constant approximations; hierarchical caching; hierarchical placement; layered caching scenarios; layered network design problems; load-balanced facility location problem; minimum total cost; multi-level facility location problem; open facilities; routing demand; Computer science; Cost function; IP networks; Internet; Routing; Spine; Time measurement;
Conference_Titel :
Foundations of Computer Science, 2000. Proceedings. 41st Annual Symposium on
Conference_Location :
Redondo Beach, CA
Print_ISBN :
0-7695-0850-2
DOI :
10.1109/SFCS.2000.892328