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Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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Machine Learning and Optimization Models for Optimization in Cloud (Hardcover)
Loot Price: R4,204
Discovery Miles 42 040
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Machine Learning and Optimization Models for Optimization in Cloud (Hardcover)
Series: Chapman & Hall/Distributed Computing and Intelligent Data Analytics Series
Expected to ship within 10 - 15 working days
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Machine Learning and Models for Optimization in Cloud's main aim is
to meet the user requirement with high quality of service, least
time for computation and high reliability. With increase in
services migrating over cloud providers, the load over the cloud
increases resulting in fault and various security failure in the
system results in decreasing reliability. To fulfill this
requirement cloud system uses intelligent metaheuristic and
prediction algorithm to provide resources to the user in an
efficient manner to manage the performance of the system and plan
for upcoming requests. Intelligent algorithm helps the system to
predict and find a suitable resource for a cloud environment in
real time with least computational complexity taking into mind the
system performance in under loaded and over loaded condition. This
book discusses the future improvements and possible intelligent
optimization models using artificial intelligence, deep learning
techniques and other hybrid models to improve the performance of
cloud. Various methods to enhance the directivity of cloud services
have been presented which would enable cloud to provide better
services, performance and quality of service to user. It talks
about the next generation intelligent optimization and fault model
to improve security and reliability of cloud. Key Features *
Comprehensive introduction to cloud architecture and its service
models. * Vulnerability and issues in cloud SAAS, PAAS and IAAS *
Fundamental issues related to optimizing the performance in Cloud
Computing using meta-heuristic, AI and ML models * Detailed study
of optimization techniques, and fault management techniques in
multi layered cloud. * Methods to improve reliability and fault in
cloud using nature inspired algorithms and artificial neural
network. * Advanced study of algorithms using artificial
intelligence for optimization in cloud * Method for power efficient
virtual machine placement using neural network in cloud * Method
for task scheduling using metaheuristic algorithms. * A study of
machine learning and deep learning inspired resource allocation
algorithm for cloud in fault aware environment. This book aims to
create a research interest & motivation for graduates degree or
post-graduates. It aims to present a study on optimization
algorithms in cloud for researchers to provide them with a glimpse
of future of cloud computing in the era of artificial intelligence.
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