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We consider the problem of routing packets with end-to-end hard deadlines in communication networks. The problem is challenging due to the complex spatial-temporal correlation among flows with different deadlines. To tackle this challenging problem, we introduce the concepts of virtual links/routes to incorporate end-to-end deadline constraints into routing and propose a novel virtual queue architecture...
We study the optimal control of communication networks in the presence of heterogeneous traffic requirements. Specifically, we distinguish the flows into two crucial classes: inelastic for modeling high-priority, delay-sensitive, and fixed-throughput applications; and elastic for modeling low-priority, delay-tolerant, and throughput-greedy applications. We note that the coexistence of such diverse...
Online Social networks are increasingly being seen as a means of obtaining awareness of user preferences. Such awareness could be used to target goods and services at them. We consider a general user model, wherein users could buy different numbers of goods at a marked and at a discounted price. Our first objective is to learn which users would be interested in a particular good. Second, we would...
In this work, we study the control of communication networks in the presence of both inelastic and elastic traffic flows. The characteristics of these two types of traffic differ significantly. Hence, earlier approaches that focus on homogeneous scenarios with a single traffic type are not directly applicable. We formulate a new network optimization problem that incorporates the performance requirements...
We study scalable, distributed, and adaptive routing algorithms for communication networks. The back-pressure algorithm introduced in [21] is a well-known distributed and adaptive routing/scheduling algorithm where nodes only need the queue length information of neighboring nodes to make routing decisions, and packets are adaptively routed in the network according to congestion information, which...
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