Title: Cloud Computing - Architecture and Applications
ArXiv ID: 1707.09488
Date: 2017-08-01
Authors: Researchers from original ArXiv paper
📝 Abstract
In the era of Internet of Things and with the explosive worldwide growth of electronic data volume, and associated need of processing, analysis, and storage of such humongous volume of data, it has now become mandatory to exploit the power of massively parallel architecture for fast computation. Cloud computing provides a cheap source of such computing framework for large volume of data for real-time applications. It is, therefore, not surprising to see that cloud computing has become a buzzword in the computing fraternity over the last decade. This book presents some critical applications in cloud frameworks along with some innovation design of algorithms and architecture for deployment in cloud environment. It is a valuable source of knowledge for researchers, engineers, practitioners, and graduate and doctoral students working in the field of cloud computing. It will also be useful for faculty members of graduate schools and universities.
💡 Deep Analysis
Deep Dive into Cloud Computing - Architecture and Applications.
In the era of Internet of Things and with the explosive worldwide growth of electronic data volume, and associated need of processing, analysis, and storage of such humongous volume of data, it has now become mandatory to exploit the power of massively parallel architecture for fast computation. Cloud computing provides a cheap source of such computing framework for large volume of data for real-time applications. It is, therefore, not surprising to see that cloud computing has become a buzzword in the computing fraternity over the last decade. This book presents some critical applications in cloud frameworks along with some innovation design of algorithms and architecture for deployment in cloud environment. It is a valuable source of knowledge for researchers, engineers, practitioners, and graduate and doctoral students working in the field of cloud computing. It will also be useful for faculty members of graduate schools and universities.
R
E
U
T
E
R
S
I
N
D
E
X
E
D
Interested in publishing with us?
Contact book.department@intechopen.com
World’s largest Science, Technology & Medicine Open Access book publisher
PUBLISHED BY
Selection of our books indexed in the
Book Citation Index in Web of Science™
Core Collection (BKCI)
3,000+
OPEN ACCESS BOOKS
BOOKS
DELIVERED TO
151 COUNTRIES
12.2%
AUTHORS AND EDITORS FROM TOP 500 UNIVERSITIES
AUTHORS AMONG
TOP 1%
MOST CITED SCIENTISTS
101,000+
INTERNATIONAL AUTHORS AND EDITORS
99+ MILLION
DOWNLOADS
Numbers displayed above are based on data collected at the time of publication, for latest information visit www.intechopen.com
Contents
Preface VII
Chapter 1
State-of-the-Art Antenna Technology for Cloud Radio Access
Networks (C-RANs) 1
Waleed Tariq Sethi, Abdullah Alfakhri, Muhammad Ahmad Ashraf,
Amr G. Alasaad and Saleh Alshebeili
Chapter 2
Cloud Computing for Next-Generation Sequencing Data
Analysis 29
Shanrong Zhao, Kirk Watrous, Chi Zhang and Baohong Zhang
Chapter 3
Green-Aware Virtual Machine Migration Strategy in
Sustainable Cloud Computing Environments 53
Xiaoying Wang, Guojing Zhang, Mengqin Yang and Lei Zhang
Chapter 4
M-ary Optical Computing 71
Jian Wang and Yun Long
Chapter 5
Networking Solutions for Integrated Heterogeneous Wireless
Ecosystem 103
Roman Florea, Aleksandr Ometov, Adam Surak, Sergey Andreev
and Yevgeni Koucheryavy
Preface
Cloud computing transforms the way information technology (IT) is consumed and man‐
aged, promising improved cost-efficiencies, accelerated innovation, faster time to market,
and the enhanced ability to scale applications on demand. According to Gartner, while the
hype grew exponentially during 2008 and continued since then, it is clear that there is a ma‐
jor shift toward the cloud computing model and the benefits may be substantial. With the
advent of Internet of Things and big data, humongous amount of data is available today.
This extraordinarily large volume of data needs to be analyzed for achieving valuable in‐
sights of business. Cloud computing is best suited for handling such volume of data, which
is diverse in nature and needs real-time processing. In addition, the cloud services can be
hired based on computing requirement without incurring any large fixed overhead cost of
IT infrastructure. However, as the shape of the cloud computing is emerging and develop‐
ing rapidly both conceptually and in real-world applications, the legal/contractual, econom‐
ic, service quality, interoperability, security, and privacy issues still pose significant
challenges. In other wor