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Data Stream Load Shedding - Dynamically Managing Channel Capacity (Paperback)
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Data Stream Load Shedding - Dynamically Managing Channel Capacity (Paperback)
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A data stream being transmitted over a network channel with
capacity less than the data transmission rate of the data stream
causes sequential network problems. In this book, we present a new
approach for shedding less-informative attribute data from a data
stream to maintain the data transmission rate less than the network
channel capacity. A scheme for shedding attributes, instead of
tuples, becomes imperative in stream data, since shedding a
complete tuple would lead to shedding some informative, as well as
less-informative, attribute data in the tuple. Since data shed at
the source site may be of interest to the user at the destination
site, we design a data recovery approach, which maintains the
minimal amount of information for data recovery purpose while
imposing minimal overhead for data recovery on the source site. Our
load shedding and data recovery approach (i) handles wide range of
data streams in different application domains, (ii) is dynamic in
nature, since each load shedding scheme adjusts the amount of data
to be shed according to the current load and network capacity, and
(iii) is adoptive, which is appealing in an ever-changing network
environment, and (iv) is not based on queries, but works on general
data streams instead. The book is addressed to professionals in
Digital Telecommunications, Streaming Data, Computer Networking,
and Databases. It is also directed towards researchers in Data
compression, Lossy Data Reduction, and Congestion Control.
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