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Algorithms and time complexity of the request-service problem

Chunmei Liu (), Legand Burge () and Ajoni Blake ()
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Chunmei Liu: Howard University
Legand Burge: Howard University
Ajoni Blake: Howard University

Journal of Combinatorial Optimization, 2010, vol. 20, issue 2, No 5, 180-193

Abstract: Abstract Given a number of users each of which provides a set of services with a cost for each service and has a set of requests to be satisfied, the goal of the request-service problem is to find a feasible solution that satisfies all requests of each user with minimum cost. In addition, a feasible solution must satisfy an additional constraint. Specifically, if user A provides a service to user B, B should provide a service back to A either directly or indirectly through other users. In this paper, we studied the complexity of this problem. We show that there exists a polynomial time algorithm that can compute a feasible solution with minimum cost if such a solution exists. However, if a feasible solution does not exist, the problem of maximizing the number of satisfied users (i.e., all requests of the users are satisfied) is NP-hard.

Keywords: Request-service; Disjoint cycle cover; MAX2SAT (search for similar items in EconPapers)
Date: 2010
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DOI: 10.1007/s10878-008-9202-9

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