Contains theoretical foundations, applications, and examples of competitive analysis for online algorithms.
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This graduate text and reference provides an in-depth presentation of competitive analysis, a framework for measuring the performance of online algorithms. The authors present the essential techniques through various examples and applications such as list accessing, paging in a virtual memory system, routing in a communication network, metrical task systems, k-server systems, load balancing, search, and portfolio selection.
Preface; 1. Introduction to competitive analysis: the list accessing problem; 2. Introduction to randomized algorithms: the list accessing problem; 3. Paging: deterministic algorithms; 4. Paging: randomized algorithms; 5. Alternative models for paging: beyond pure competitive analysis; 6. Game theoretic foundations; 7. Request - answer games; 8. Competitive analysis and zero-sum games; 9. Metrical task systems; 10. The k-server problem; 11. Randomized k-server algorithms; 12. Load-balancing; 13. Call admission and circuit-routing; 14. Search, trading and portfolio selection; 15. Competitive analysis and decision making under uncertainty; Appendices; Bibliography; Index.
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