|
Showing 1 - 15 of
15 matches in All Departments
This book is a collection of selected papers presented at the First
International Conference on Industrial IoT, Big Data and Supply
Chain (IIoTBDSC), held as an online conference due to COVID-19
(initially to be held in Macao, Special Administration Region (SAR)
of China), during September 15-17, 2020. It includes novel and
innovative work from experts, practitioners, scientists and
decision-makers from academia and industry. It brings
multi-disciplines together on IIoT, data science, cloud computing,
software engineering approaches to design, development, testing and
quality of products and services.
This book is a collection of selected papers presented at the First
International Conference on Industrial IoT, Big Data and Supply
Chain (IIoTBDSC), held as an online conference due to COVID-19
(initially to be held in Macao, Special Administration Region (SAR)
of China), during September 15-17, 2020. It includes novel and
innovative work from experts, practitioners, scientists and
decision-makers from academia and industry. It brings
multi-disciplines together on IIoT, data science, cloud computing,
software engineering approaches to design, development, testing and
quality of products and services.
This book focuses on the development and implementation of
cloud-based, complex software that allows parallelism, fast
processing, and real-time connectivity. Software engineering (SE)
is the design, development, testing, and implementation of software
applications, and this discipline is as well developed as the
practice is well established whereas the Cloud Software Engineering
(CSE) is the design, development, testing, and continuous delivery
of service-oriented software systems and applications (Software as
a Service Paradigm). However, with the emergence of the highly
attractive cloud computing (CC) paradigm, the tools and techniques
for SE are changing. CC provides the latest software development
environments and the necessary platforms relatively easily and
inexpensively. It also allows the provision of software
applications equally easily and on a pay-as-you-go basis. Business
requirements for the use of software are also changing and there is
a need for applications in big data analytics, parallel computing,
AI, natural language processing, and biometrics, etc. These require
huge amounts of computing power and sophisticated data management
mechanisms, as well as device connectivity for Internet of Things
(IoT) environments. In terms of hardware, software, communication,
and storage, CC is highly attractive for developing complex
software that is rapidly becoming essential for all sectors of
life, including commerce, health, education, and transportation.
The book fills a gap in the SE literature by providing scientific
contributions from researchers and practitioners, focusing on
frameworks, methodologies, applications, benefits and inherent
challenges/barriers to engineering software using the CC paradigm.
This book focuses on the development and implementation of
cloud-based, complex software that allows parallelism, fast
processing, and real-time connectivity. Software engineering (SE)
is the design, development, testing, and implementation of software
applications, and this discipline is as well developed as the
practice is well established whereas the Cloud Software Engineering
(CSE) is the design, development, testing, and continuous delivery
of service-oriented software systems and applications (Software as
a Service Paradigm). However, with the emergence of the highly
attractive cloud computing (CC) paradigm, the tools and techniques
for SE are changing. CC provides the latest software development
environments and the necessary platforms relatively easily and
inexpensively. It also allows the provision of software
applications equally easily and on a pay-as-you-go basis. Business
requirements for the use of software are also changing and there is
a need for applications in big data analytics, parallel computing,
AI, natural language processing, and biometrics, etc. These require
huge amounts of computing power and sophisticated data management
mechanisms, as well as device connectivity for Internet of Things
(IoT) environments. In terms of hardware, software, communication,
and storage, CC is highly attractive for developing complex
software that is rapidly becoming essential for all sectors of
life, including commerce, health, education, and transportation.
The book fills a gap in the SE literature by providing scientific
contributions from researchers and practitioners, focusing on
frameworks, methodologies, applications, benefits and inherent
challenges/barriers to engineering software using the CC paradigm.
This book demonstrates the use of a wide range of strategic
engineering concepts, theories and applied case studies to improve
the safety, security and sustainability of complex and large-scale
engineering and computer systems. It first details the concepts of
system design, life cycle, impact assessment and security to show
how these ideas can be brought to bear on the modeling, analysis
and design of information systems with a focused view on
cloud-computing systems and big data analytics. This informative
book is a valuable resource for graduate students, researchers and
industry-based practitioners working in engineering, information
and business systems as well as strategy.
This authoritative text/reference describes the state of the art in
requirements engineering for software systems for distributed
computing. A particular focus is placed on integrated solutions,
which take into account the requirements of scalability,
flexibility, sustainability and operability for distributed
environments. Topics and features: discusses the latest
developments, tools, technologies and trends in software
requirements engineering; reviews the relevant theoretical
frameworks, practical approaches and methodologies for service
requirements; examines the three key components of the requirements
engineering process, namely requirements elicitation, requirements
specification, and requirements validation and evaluation; presents
detailed contributions from an international selection of highly
reputed experts in the field; offers guidance on best practices,
and suggests directions for further research in the area.
This authoritative text/reference describes the state of the art in
requirements engineering for software systems for distributed
computing. A particular focus is placed on integrated solutions,
which take into account the requirements of scalability,
flexibility, sustainability and operability for distributed
environments. Topics and features: discusses the latest
developments, tools, technologies and trends in software
requirements engineering; reviews the relevant theoretical
frameworks, practical approaches and methodologies for service
requirements; examines the three key components of the requirements
engineering process, namely requirements elicitation, requirements
specification, and requirements validation and evaluation; presents
detailed contributions from an international selection of highly
reputed experts in the field; offers guidance on best practices,
and suggests directions for further research in the area.
This book demonstrates the use of a wide range of strategic
engineering concepts, theories and applied case studies to improve
the safety, security and sustainability of complex and large-scale
engineering and computer systems. It first details the concepts of
system design, life cycle, impact assessment and security to show
how these ideas can be brought to bear on the modeling, analysis
and design of information systems with a focused view on
cloud-computing systems and big data analytics. This informative
book is a valuable resource for graduate students, researchers and
industry-based practitioners working in engineering, information
and business systems as well as strategy.
Novel AI and Data Science Advancements for Sustainability in the
Era of COVID-19 discusses how the role of recent technologies
applied to health settings can help fight virus outbreaks.
Moreover, it provides guidelines on how governments and
institutions should prepare and quickly respond to drastic
situations using technology to support their communities in order
to maintain life and functional as efficiently as possible. The
book discusses topics such as AI-driven histopathology analysis for
COVID-19 diagnosis, bioinformatics for subtype rational drug
design, deep learning-based treatment evaluation and outcome
prediction, sensor informatics for monitoring infected patients,
and machine learning for tracking and prediction models. In
addition, the book presents AI solutions for hospital management
during an epidemic or pandemic, along with real-world solutions and
case studies of successful measures to support different types of
communities. This is a valuable source for medical informaticians,
bioinformaticians, clinicians and other healthcare workers and
researchers who are interested in learning more on how recently
developed technologies can help us fight and minimize the effects
of global pandemics.
|
Enterprise Security - Second International Workshop, ES 2015, Vancouver, BC, Canada, November 30 - December 3, 2015, Revised Selected Papers (Paperback, 1st ed. 2017)
Victor Chang, Muthu Ramachandran, Robert J. Walters, Gary Wills
|
R2,393
Discovery Miles 23 930
|
Ships in 10 - 15 working days
|
Enterprise security is an important area since all types of
organizations require secure and robust environments, platforms and
services to work with people, data and computing applications. The
book provides selected papers of the Second International Workshop
on Enterprise Security held in Vancouver, Canada, November
30-December 3, 2016 in conjunction with CloudCom 2015. The 11
papers were selected from 24 submissions and provide a
comprehensive research into various areas of enterprise security
such as protection of data, privacy and rights, data ownership,
trust, unauthorized access and big data ownership, studies and
analysis to reduce risks imposed by data leakage, hacking and
challenges of Cloud forensics.
The widespread availability of technologies has increased
exponentially in recent years. This ubiquity has created more
connectivity and seamless integration among technology devices.
Emerging Trends and Applications of the Internet of Things is an
essential reference publication featuring the latest scholarly
research on the surge of connectivity between computing devices in
modern society, as well as the benefits and challenges of this.
Featuring extensive coverage on a broad range of topics such as
cloud computing, spatial cognition, and ultrasonic sensing, this
book is ideally designed for researchers, professionals, and
academicians seeking current research on upcoming advances in the
Internet of Things (IoT).
Cloud computing has evolved to address the availability of
computing services and resources anywhere, anytime, and on any
device. In particular, computing hardware and software often gets
outdated and, hence, it is wise to outsource computing resources
and to manage their IT infrastructures outside of their company
premises, which is more cost-effective than is the case at present.
Cloud computing is emerging rapidly and software as a service
paradigm has increasing its demand for more services. However, it
is crucial to maintain and manage this growth in such way that the
cloud technology remains cost efficient. This book provides
advances in cloud computing ranging from large-scale applications,
business services, financial services, to small-scale applications.
This book also provides insights into energy saving methods for
cloud computing paradigms. This book consists of two parts. Part 1
provides good practices on cloud applications including Agile
approaches to cloud computing and Part 2 provides good practices on
green cloud and energy efficient cloud computing models.
Software exists in a wide array of products, ranging from toys,
entertainment systems, medical systems, and home appliances to
large-scale products such as aircraft and communication systems.
Knowledge Engineering for Software Development Life Cycles: Support
Technologies and Applications bridges the best practices and design
principles successfully employed over last two decades with modern
Knowledge Engineering (KE), which has provided some of the most
valuable techniques and tools to support encoding knowledge and
experiences. Through its identification and exploration of software
development practices, captured as software guidelines that can be
represented to automated software development, decision making, and
knowledge management, this book brings industry and academia
together to address the need for the growing applications and
supporting knowledge-based approaches to software development.
Global software development and productivity related technologies
are the key to today's globalization with new technologies and
concepts being developed continually. In such an ever-evolving
environment, teachers, researchers, and professionals in the
discipline need access to the most current information about the
concepts, issues, trends, and technologies in this emerging field.
""The Handbook of Research on Software Engineering and Productivity
Technologies: Implications of Globalization"" provides an
authoritative collection of international research on software
engineering and enterprise systems. Presenting unique coverage of
topics such as agile software engineering, requirements
traceability, and distributed software development, this Handbook
of Research offers an innovative repository of knowledge useful to
academicians, practitioners, and researchers in various related
fields.
Software engineering has established techniques, methods and
technology over two decades. However, due to the lack of
understanding of software security vulnerabilities, we have been
not successful in applying software engineering principles when
developing secured software systems. Therefore software security
can not be added after a system has been built as seen on today's
software applications. This book provides concise and good practice
design guidelines on software security which will benefit
practitioners, researchers, learners, and educators. Topics
discussed include systematic approaches to engineering; building
and assuring software security throughout software lifecycle;
software security based requirements engineering; design for
software security; software security implementation; best practice
guideline on developing software security; test for software
security and quality validation for software security.
|
You may like...
Loot
Nadine Gordimer
Paperback
(2)
R398
R330
Discovery Miles 3 300
|