quotA UNIFIED APPROACH TO OPTIMIZING PERFORMANCE IN NETWORKS SERVING HETEROGENEOUS FLOWSquot

Abstract

newline In this paper, we formulate a new network optimization problem that incorporates the performance requirements of inelastic and elastic traffic flows. The solution of this problem provides us with a new queuing architecture, and distributed load balancing and congestion control algorithm with provably optimal performance. In particular, we show that our algorithm achieves the dual goal of maximizing the aggregate utility gained by the elastic flows while satisfying the demands of inelastic flows. Our base optimal algorithm is extended to provide better delay performance for both types of traffic with minimal degradation in throughput. It is also extended to the practically relevant case of dynamic arrivals and departures. Our solution allows for a controlled interaction between the performance of inelastic and elastic traffic flows. This performance can be tuned to achieve the appropriate design tradeoff. The network performance is studied both theoretically and through extensive simulations.The development of Geographic Information Systems (GIS) is highly influenced by the progress of information technology (IT). The motivations for adopting new technologies are derived from the essential needs of GIS users and the GIS community. Due to the popular use of the Internet and the dramatic progress of telecommunications technology, the paradigm of GIS is shifting into a new direction, Geographic Information Services (GIServices). Traditional Geographic Information Systems (GISystems) provide several capabilities to handle georeferenced data, including data input, storage, retrieval, management, manipulation, analysis, and output (Aronoff, 1989). However, the architecture of traditional GISystems is confined inside a single box. With a closed and centralized architecture, legacy GISystems are no longer appropriate for modern distributed, heterogeneous network environments. With the popularity of the Internet and Intranet technologies, centralized GISystems will be replaced by dynamic and distributed GI