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We revisit the problem of assigning n jobs to m machines/servers. We study this problem under more general settings, which capture important aspects of applications that arise in networking and information systems. In particular, we consider jobs that have placement constraints and machines that are heterogeneous. The cost incurred at a machine is given by any general convex function on the number...
We consider a multi-user mobile cloud computingsystem with a computing access point (CAP) where eachmobile user has multiple dependent tasks to be processedusing a round-by-round schedule. The CAP can either processthe received tasks from mobile users or offload them tothe cloud. In each round, we aim to jointly optimize theoffloading decisions of all users and the CAP, together withcommunication...
Cellular and device-to-device (D2D) communication may cause significant inter-cell interference (ICI) at a neighboring base station (BS). In this work, we aim to maximize the sum rate of a cellular user (CU) and a D2D pair, with receive beamforming at the BS equipped with multiple antennas, subject to per-node power, maximum ICI, and minimum SINR constraints. We propose an efficient algorithm to maximize...
The problem of real-time power balancing in a grid-connected microgrid is studied. We consider a microgrid powered by a conventional generator (CG) and multiple renewable generators (RGs) each co-located with one distributed storage (DS) unit. An aggregator operates the microgrid and aims to minimize the long-term system cost, including all RGs' cost, the CG's cost, and the cost for exploiting external...
The concept of vehicle-to-grid (V2G) has gained recent interest as more and more electric vehicles (EVs) are put to use. In this paper, we consider a dynamic aggregator-EVs system, where an aggregator centrally coordinates a large number of EVs to perform regulation service. We propose a Welfare-Maximizing Regulation Allocation (WMRA) algorithm for the aggregator to fairly allocate the regulation...
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