Cloud computing has created a shift from the use of physical
hardware and locally managed software-enabled platforms to that of
virtualized cloud-hosted services. Cloud assembles large networks
of virtual services, including hardware (CPU, storage, and network)
and software resources (databases, message queuing systems,
monitoring systems, and load-balancers). As Cloud continues to
revolutionize applications in academia, industry, government, and
many other fields, the transition to this efficient and flexible
platform presents serious challenges at both theoretical and
practical levels-ones that will often require new approaches and
practices in all areas. Comprehensive and timely, Cloud Computing:
Methodology, Systems, and Applications summarizes progress in
state-of-the-art research and offers step-by-step instruction on
how to implement it. Summarizes Cloud Developments, Identifies
Research Challenges, and Outlines Future Directions Ideal for a
broad audience that includes researchers, engineers, IT
professionals, and graduate students, this book is designed in
three sections: Fundamentals of Cloud Computing: Concept,
Methodology, and Overview Cloud Computing Functionalities and
Provisioning Case Studies, Applications, and Future Directions It
addresses the obvious technical aspects of using Cloud but goes
beyond, exploring the cultural/social and regulatory/legal
challenges that are quickly coming to the forefront of discussion.
Properly applied as part of an overall IT strategy, Cloud can help
small and medium business enterprises (SMEs) and governments in
optimizing expenditure on application-hosting infrastructure. This
material outlines a strategy for using Cloud to exploit
opportunities in areas including, but not limited to, government,
research, business, high-performance computing, web hosting, social
networking, and multimedia. With contributions from a host of
internationally recognized researchers, this reference delves into
everything from necessary changes in users' initial mindset to
actual physical requirements for the successful integration of
Cloud into existing in-house infrastructure. Using case studies
throughout to reinforce concepts, this book also addresses recent
advances and future directions in methodologies, taxonomies,
IaaS/SaaS, data management and processing, programming models, and
applications.
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