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A unified approach to optimizing performance in networks serving heterogeneous flows.
| Content Provider | CiteSeerX |
|---|---|
| Author | Li, Ruogu Eryilmaz, Atilla Ying, Lei Shroff, Ness B. |
| Abstract | 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 flows creates complex interactions at multiple levels (e.g. flow and packet levels), which prevent the use of earlier design approaches that dominantly assume homogeneous traffic. In this work, we develop the mathematical framework and novel design methodologies needed to support such heterogeneous requirements, and propose provably optimal network algorithms that account for the multi-level interactions between the flows. To that end, we first formulate a network optimization problem that incorporates the above throughput and service prioritization requirements of the two traffic types. We, then develop a distributed joint load balancing and congestion control algorithm that achieves the dual goal of maximizing the aggregate utility gained by the elastic flows while satisfying the fixed throughput and prioritization requirements of the inelastic flows. Next, we extend our joint algorithm in two ways to further improve its performance: in delay through a virtual queue implementation with minimal throughput degradation; and in utilization by allowing for dynamic multi-path routing for elastic flows. A unique characteristic of our proposed dynamic routing solution is the novel two-stage queueing architecture it introduces to satisfy the service prioritization requirement. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Unified Approach Heterogeneous Flow Elastic Flow Service Prioritization Requirement Unique Characteristic Aggregate Utility Optimal Network Algorithm Fixed-throughput Application Packet Level Novel Design Methodology Communication Network Traffic Type Homogeneous Traffic Inelastic Flow Congestion Control Dynamic Multi-path Routing Complex Interaction Network Optimization Problem Dual Goal Multiple Level Minimal Throughput Degradation Heterogeneous Traffic Requirement Diverse Flow Throughput-greedy Application Mathematical Framework Virtual Queue Implementation Heterogeneous Requirement Crucial Class Prioritization Requirement Distributed Joint Load Balancing Multi-level Interaction Novel Two-stage Queueing Architecture Optimal Control Joint Algorithm |
| Content Type | Text |