EconPapers    
Economics at your fingertips  
 

Algorithms for Cache Placement

Carlos A. S. Oliveira () and Panos M. Pardalos ()
Additional contact information
Carlos A. S. Oliveira: Bloomberg LP
Panos M. Pardalos: University of Florida

Chapter Chapter 10 in Mathematical Aspects of Network Routing Optimization, 2011, pp 135-148 from Springer

Abstract: Abstract The results of the preceding chapter show that the SCPP is very difficult to solve, even if only approximate solutions are required. We describe some approximation algorithms that can be used to give solutions to the problem, and decrease the gap between known solutions and nonapproximation results. We also consider practical heuristics to find good near-optimal solutions to the problem. We propose two general types of heuristics, based on complementary techniques, which can be used to give good starting solutions for the SCPP Oliveira et al. [2007].

Date: 2011
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-1-4614-0311-1_10

Ordering information: This item can be ordered from
http://www.springer.com/9781461403111

DOI: 10.1007/978-1-4614-0311-1_10

Access Statistics for this chapter

More chapters in Springer Optimization and Its Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:spochp:978-1-4614-0311-1_10