L. Liu, Sibren Isaacman, A. Bhattacharjee, U. Kremer
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POSTER: Exploiting Approximations for Energy/Quality Tradeoffs in Service-Based Applications
Approximations and redundancies allow mobile and distributed applications to produce answers or outcomes of lesser quality at lower costs. This paper introduces RAPID, a new programming framework and methodology for service-based applications with approximations and redundancies. Finding the best service configuration under a given resource budget becomes a constrained, dual-weight graph optimization problem.