Please use this identifier to cite or link to this item: http://repository.iiitd.edu.in/xmlui/handle/123456789/1566
Title: Online metric matching in euclidean norm
Authors: Marwah, Ishaan
Seth, Ritesh
Das, Syamantak (Advisor)
Keywords: Metric Space
Online Algorithms
Randomized Algorithms
Online Metric Matching
Min-cost matching.
Issue Date: 29-Nov-2023
Publisher: IIIT-Delhi
Abstract: This report addresses the problem of online metric matching. In this scenario, a group of servers is situated within a metric space, and requests continuously arrive over time in an unpredictable manner. The objective is to promptly match each incoming request with an available server. The cost of matching a request to a server is determined by the distance between them in the metric space. The ultimate goal is to minimize the expected total cost incurred while matching all the requests to the servers.
URI: http://repository.iiitd.edu.in/xmlui/handle/123456789/1566
Appears in Collections:Year-2023

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