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USITS 2001 Abstract
CANS: Composable, Adaptive Network Services Infrastructure
Xiaodong Fu, Weisong Shi, Anatoly Akkerman, and Vijay Karamcheti, New York University
Abstract
Ubiquitous access to sophisticated internet services from diverse
end devices across heterogeneous networks requires the injection of
additional functionality into the network to handle protocol
conversion, data transcoding, and in general bridge disparate
network portions. Several researchers have proposed infrastructures
for injecting such functionality; however, many challenges remain
before these can be widely deployed.
CANS is an application-level infrastructure for injecting
application-specific components into the network that focuses on
three such challenges: (a) efficient and dynamic composition of
individual components; (b) distributed adaptation of injected
components in response to system conditions; and (c) support for
legacy applications and services. The CANS network view comprises
applications, stateful services, and data paths
built from mobile soft-state objects called drivers. Both
services and data paths can be dynamically created and reconfigured:
a planning and event propagation model assists in distributed
adaptation, and a flexible type-based composition model dictates how
new services and drivers are integrated with existing components.
Legacy components plug into CANS using an interception layer that
virtualizes network bindings and a delegation model.
This paper describes the CANS architecture, and a case study
involving a shrink-wrapped client application in a dynamically
changing network environment where CANS improves overall user
experience.
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