Award Date
5-1-2013
Degree Type
Thesis
Degree Name
Master of Science in Computer Science
Department
Computer Science
First Committee Member
Lawrence L. Larmore
Second Committee Member
Wolfgang Bein
Third Committee Member
Ebrahim Salehi
Number of Pages
56
Abstract
In this thesis we present a randomized online algorithm for the 2-server problem on the line, named R-LINE (for Randomized Line). This algorithm achieves the lowest competitive ratio of any known randomized algorithm for the 2-server problem on the line.
The competitiveness of R-LINE is less than 1.901. This result provides a significant improvement over the previous known competitiveness of 155/78 (approximately 1.987), by Bartal, Chrobak, and Larmore, which was the first randomized algorithm for the 2-server problem one the line with competitiveness less than 2. Taking inspiration from this algorithm,we improve this result by utilizing ideas from T-theory, game theory, and linear programming.
Keywords
Client/server computing – Equipment and supplies; Competitive analysis; k-server problem; Online algorithms
Disciplines
Computer Sciences | Digital Communications and Networking | OS and Networks
File Format
Degree Grantor
University of Nevada, Las Vegas
Language
English
Repository Citation
Bang, Lucas Adam, "An Online Algorithm for the 2-Server Problem On The Line with Improved Competitiveness" (2013). UNLV Theses, Dissertations, Professional Papers, and Capstones. 1801.
http://dx.doi.org/10.34917/4478195
Rights
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