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Books > Computing & IT > Computer communications & networking
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Conductor: Distributed Adaptation for Heterogeneous Networks (Hardcover, 2002 ed.)
Loot Price: R2,788
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Conductor: Distributed Adaptation for Heterogeneous Networks (Hardcover, 2002 ed.)
Series: The Springer International Series in Engineering and Computer Science, 688
Expected to ship within 18 - 22 working days
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Internet heterogeneity is driving a new challenge in application
development: adaptive software. Together with the increased
Internet capacity and new access technologies, network congestion
and the use of older technologies, wireless access, and
peer-to-peer networking are increasing the heterogeneity of the
Internet. Applications should provide gracefully degraded levels of
service when network conditions are poor, and enhanced services
when network conditions exceed expectations. Existing adaptive
technologies, which are primarily end-to-end or proxy-based and
often focus on a single deficient link, can perform poorly in
heterogeneous networks. Instead, heterogeneous networks frequently
require multiple, coordinated, and distributed remedial actions.
Conductor: Distributed Adaptation for Heterogeneous Networks
describes a new approach to graceful degradation in the face of
network heterogeneity - distributed adaptation - in which adaptive
code is deployed at multiple points within a network. The
feasibility of this approach is demonstrated by conductor, a
middleware framework that enables distributed adaptation of
connection-oriented, application-level protocols. By adapting
protocols, conductor provides application-transparent adaptation,
supporting both existing applications and applications designed
with adaptation in mind. Conductor: Distributed Adaptation for
Heterogeneous Networks introduces new techniques that enable
distributed adaptation, making it automatic, reliable, and secure.
In particular, we introduce the notion of semantic segmentation,
which maintains exactly-once delivery of the semantic elements of a
data stream while allowing the stream to be arbitrarily adapted in
transit. We also introduce a secure architecture for automatic
adaptor selection, protecting user data from unauthorized
adaptation. These techniques are described both in the context of
conductor and in the broader context of distributed systems.
Finally, this book presents empirical evidence from several case
studies indicating that distributed adaptation can allow
applications to degrade gracefully in heterogeneous networks,
providing a higher quality of service to users than other adaptive
techniques. Further, experimental results indicate that the
proposed techniques can be employed without excessive cost. Thus,
distributed adaptation is both practical and beneficial. Conductor:
Distributed Adaptation for Heterogeneous Networks is designed to
meet the needs of a professional audience composed of researchers
and practitioners in industry and graduate-level students in
computer science.
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