This research was partially supported by DARPA ITO under the Information Expedition program.
Electronic data processing -- Distributed processing, Self-adaptive software, Quality of service (Computer networks)
With the explosive growth of the Internet and World Wide Web comes a dramatic increase in the number of users that compete for the shared resources of distributed system environments. Most implementations of application servers and distributed search software do not distinguish among requests to different web pages. This has the implication that the behavior of application servers is quite unpredictable. Applications that require timely delivery of fresh information consequently suffer the most in such competitive environments. This paper presents a model of quality of service (QoS) and the design of a QoS-enabled information delivery system that implements such a QoS modeL The goal of this development is two-fold. On one hand, we want to enable users or applications to specify the desired quality of service requ.irements for their requests so that application-aware QoS adaptation is supported throughout the Web query and search processing. On the other hand, we want to enable an application server to customize how it shou.ld respond to external requests by setting priorities among query requests and allocating server resources using adaptive QoS control mechanisms. We introduce the Infopipe approach as the systems support architecture and underlying technology for building a QoS-enabled distributed system for fresh information delivery.
Liu, Ling; Pu, Calton; Schwan, Karsten; and Walpole, Jonathan, "InfoFilter: Supporting Quality of Service for Fresh Information Delivery" (2000). Computer Science Faculty Publications and Presentations. 41.