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Online Computation And Competitive Analysis Pdf

online computation and competitive analysis pdf

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In online computation a computer algorithm must decide how to act on incoming items of information without any knowledge of future inputs. How should it route the next telephone call? Where in memory should it store a just-closed record?

Applied Mathematics and Computation

We consider a model for online computation in which the online algorithm receives, together with each request, some information regarding the future, referred to as advice. The advice provided to the online algorithm may allow an improvement in its performance, compared to the classical model of complete lack of information regarding the future. We are interested in the impact of such advice on the competitive ratio, and in particular, in the relation between the size b of the advice, measured in terms of bits of information per request, and the improved competitive ratio. In this paper we propose the above model and illustrate its applicability by considering two of the most extensively studied online problems, namely, metrical task systems MTS and the k-server problem. Unable to display preview. Download preview PDF.

Applied Mathematics and Computation

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Online Computation with Advice

Once production of your article has started, you can track the status of your article via Track Your Accepted Article. Help expand a public dataset of research that support the SDGs. Applied Mathematics and Computation addresses work at the interface between applied mathematics , numerical computation , and applications of systems — oriented ideas to the physical, biological, social, and behavioral sciences, and emphasizes papers of a computational nature focusing on new algorithms Applied Mathematics and Computation addresses work at the interface between applied mathematics , numerical computation , and applications of systems — oriented ideas to the physical, biological, social, and behavioral sciences, and emphasizes papers of a computational nature focusing on new algorithms, their analysis and numerical results.

Skip to Main Content. A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. Use of this web site signifies your agreement to the terms and conditions. Competitive analysis for online scheduling in software-defined optical WAN Abstract: Modern planetary-scale online services have massive data to transfer over the wide area network WAN. Due to the tremendous cost of building WANs and the stringent timing requirement of distributed applications, it is critical for network operators to make efficient use of network resources to optimize data transfers.

Competitive analysis is a method invented for analyzing online algorithms , in which the performance of an online algorithm which must satisfy an unpredictable sequence of requests, completing each request without being able to see the future is compared to the performance of an optimal offline algorithm that can view the sequence of requests in advance. An algorithm is competitive if its competitive ratio —the ratio between its performance and the offline algorithm's performance—is bounded. Unlike traditional worst-case analysis , where the performance of an algorithm is measured only for "hard" inputs, competitive analysis requires that an algorithm perform well both on hard and easy inputs, where "hard" and "easy" are defined by the performance of the optimal offline algorithm. For many algorithms, performance is dependent not only on the size of the inputs, but also on their values.

Online computation and competitive analysis

4 Comments

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    07.06.2021 at 22:07
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    10.06.2021 at 06:00
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    Preface 1. Introduction to competitive analysis: the list accessing problem 2. Introduction to randomized algorithms: the list accessing problem 3. Paging.

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  4. Matilda A.

    12.06.2021 at 14:16
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    theoretical foundations, applications, and examples of competitive analysis for online algorithms. An Introduction to Online Computation-.

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