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Books > Computing & IT > Computer communications & networking
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Optimized Cloud Based Scheduling (Paperback, Softcover reprint of the original 1st ed. 2018)
Loot Price: R1,469
Discovery Miles 14 690
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Optimized Cloud Based Scheduling (Paperback, Softcover reprint of the original 1st ed. 2018)
Series: Data, Semantics and Cloud Computing, 759
Expected to ship within 10 - 15 working days
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This book presents an improved design for service provisioning and
allocation models that are validated through running genome
sequence assembly tasks in a hybrid cloud environment. It proposes
approaches for addressing scheduling and performance issues in big
data analytics and showcases new algorithms for hybrid cloud
scheduling. Scientific sectors such as bioinformatics, astronomy,
high-energy physics, and Earth science are generating a tremendous
flow of data, commonly known as big data. In the context of growing
demand for big data analytics, cloud computing offers an ideal
platform for processing big data tasks due to its flexible
scalability and adaptability. However, there are numerous problems
associated with the current service provisioning and allocation
models, such as inefficient scheduling algorithms, overloaded
memory overheads, excessive node delays and improper error handling
of tasks, all of which need to be addressed to enhance the
performance of big data analytics.
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