By allowing consumers to access computing services without owning computing infrastructures, Cloud computing has emerged as one of the most promising computing paradigms in industry. An increasing number of commercial Cloud services supplied by various providers are now available in the Cloud market. Since different Cloud providers have their own idiosyncratic characteristics when developing services, different and competitive Cloud services have been offered with different terminologies, definitions, techniques and pricing models. Furthermore, even the same Cloud provider can supply different kinds of services with similar functionalities for different purposes. For example, Amazon has provided several storage service options, such as S3, EBS, and the local disk on EC2. As such, rigorous evaluation would be one of the prerequisites of employing Cloud services. In fact, Cloud services evaluation is crucial and beneficial for all the participants in the Cloud ecosystem ranging from service consumers (e.g., cost-benefit analysis) to providers (e.g., direction of improvement). When it comes to evaluation implementations, a suitable methodology essentially plays a strategic role in directing evaluation activities. However, according to our systematic literature review, there is a lack of a sound methodology to guide evaluating Cloud services. Although each of the existing studies must have (at least intuitively) followed their own approach, not many evaluators were strictly concerned with or specified their evaluation methodologies. Different evaluation approaches described in different reports vary, and some of them even have flawed considerations. For example, some evaluators directly treated benchmarks as their evaluation methods, while not considering the other important steps like the selection of metrics and experimental factors. To address the problems identified in the domain of Cloud services evaluation, we developed a systematic and practical methodology we name the Cloud Evaluation Experiment Methodology (CEEM). The development of CEEM was mainly based on: (1) investigating the existing empirical studies of Cloud services evaluation, (2) borrowing the lessons from evaluations of traditional computing systems, and (3) referring to the guidelines of Design of Experiments (DOE). When evaluating Cloud services, CEEM drives a two-part (linear-process part and spiral-process part) evaluation procedure that covers ten generic steps. Each evaluation step has its own input, activities, strategies and output. The strategies integrated in CEEM are mostly the usage of five knowledge artefacts we have developed, namely Taxonomy, Metrics Catalogue, Boosting Metrics, Experimental Factor Framework, and Conceptual Model. By replicating two past studies of Cloud services evaluation, we show that CEEM can help evaluators obtain more objective experimental results and draw more convincing conclusions. By conducting four new case studies, we show that CEEM can be used by different people to systematically and practically implement evaluations of different Cloud services, to satisfy real-world and complex requirements. In particular, the rigorous activities with strategies at each evaluation step make CEEM a systematic methodology, while the domain-specific knowledge artefacts make CEEM more practical for Cloud services evaluation. In other words, the evaluation activities involved in CEEM could be conveniently adapted to other computing domains by collating the domain-specific evaluation experiences.

This book presents both state-of-the-art research developments and practical guidance on approaches, technologies and frameworks for the emerging cloud paradigm. Topics and features: presents the state of the art in cloud technologies, infrastructures, and service delivery and deployment models; discusses relevant theoretical frameworks, practical approaches and suggested methodologies; offers guidance and best practices for the development of cloud-based services and infrastructures, and examines management aspects of cloud computing; reviews consumer perspectives on mobile cloud computing and cloud-based enterprise resource planning; explores software performance testing, open-source cloudware support, and assessment methodologies for modernization, migration and pre-migration; describes emerging new methodologies relevant to the cloud paradigm, and provides suggestions for future developments and research directions.

Challenges in unpredictable markets, changing customer requirements, and advancing information technologies have lead to progression towards service oriented engineering and agile and lean software development. These prevailing approaches to software systems provide solutions to challenges in demanding business environments. Agile and Lean Service-Oriented Development: Foundations, Theory and Practice explores the groundwork of service-oriented and agile and lean development and the conceptual basis and experimental evidences for the combination of the two approaches. Highlighting the best tools and guidelines for these developments in practice, this book is essential for researchers and practitioners in the software development and service computing fields.

The recent explosion of digital media, online networking, and e-commerce has generated great new opportunities for those Internet-savvy individuals who see potential in new technologies and can turn those possibilities into reality. It is vital for such forward-thinking innovators to stay abreast of all the latest technologies. Web-Based Services: Concepts, Methodologies, Tools, and Applications provides readers with comprehensive coverage of some of the latest tools and technologies in the digital industry. The chapters in this multi-volume book describe a diverse range of applications and methodologies made possible in a world connected by the global network, providing researchers, computer scientists, web developers, and digital experts with the latest knowledge and developments in Internet technologies.

How do we ensure that implementations of Cloud computing products are done in a way that ensures safety? Will team members regularly document their Cloud computing work? Is the Cloud computing scope manageable? Are we Assessing Cloud computing security and Risk? Is there any recourses about cloud computing performance? Defining, designing, creating, and implementing a process to solve a business challenge or meet a business objective is the most valuable role... In EVERY company, organization and department. Unless you are talking a one-time, single-use project within a business, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' For more than twenty years, The Art of Service's Self-Assessments empower people who can do just that - whether their title is marketer, entrepreneur, manager, salesperson, consultant, business process manager, executive assistant, IT Manager, CxO etc... - they are the people who rule the future. They are people who watch the process as it happens, and ask the right questions to make the process work better. This book is for managers, advisors, consultants, specialists, professionals and anyone interested in Cloud computing assessment. Featuring 786 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Cloud computing improvements can be made. In using the questions you will be better able to: - diagnose Cloud computing projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Cloud computing and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Cloud computing Scorecard, you will develop a clear picture of which Cloud computing areas need attention. Included with your purchase of the book is the Cloud computing Self-Assessment downloadable resource, containing all 786 questions and Self-Assessment areas of this book. This helps with ease of (re-)use and enables you to import the questions in your preferred Management or Survey Tool. Access instructions can be found in the book. You are free to use the Self-Assessment contents in your presentations and materials for customers without asking us - we are here to help. The Art of Service has helped hundreds of clients to improve execution and meet the needs of customers better by applying business process redesign. Typically, our work generates cost savings of 20 percent to 30 percent of the addressable cost base, but its real advantages are reduced cycle times and increased quality and customer satisfaction. How Can we help you? To discuss how our team can help your business achieve true results, please visit http://store.theartofservice.com/contact-us/

As the Web grows and expands into ever more remote parts of the world, the availability of resources over the Internet increases exponentially. Making use of this widely prevalent tool, organizations and individuals can share and store knowledge like never before. Cloud Technology: Concepts, Methodologies, Tools, and Applications investigates the latest research in the ubiquitous Web, exploring the use of applications and software that make use of the Internet’s anytime, anywhere availability. By bringing together research and ideas from across the globe, this publication will be of use to computer engineers, software developers, and end users in business, education, medicine, and more.

This practical and didactic text/reference discusses the leading edge of secure cloud computing, exploring the essential concepts and principles, tools, techniques and deployment models in this field. Enlightening perspectives are presented by an international collection of pre-eminent authorities in cloud security assurance from both academia and industry. Topics and features: · Describes the important general concepts and principles of security assurance in cloud-based environments · Presents applications and approaches to cloud security that illustrate the current state of the art · Reviews pertinent issues in relation to challenges that prevent organizations moving to cloud architectures · Provides relevant theoretical frameworks and the latest empirical research findings · Discusses real-world vulnerabilities of cloud-based software in order to address the challenges of securing distributed software · Highlights the practicalities of cloud security, and how applications can assure and comply with legislation · Includes review questions at the end of each chapter This Guide to Security Assurance for Cloud Computing will be of great benefit to a broad audience covering enterprise architects, business analysts and leaders, IT infrastructure managers, cloud security engineers and consultants, and application developers involved in system design and implementation. The work is also suitable as a textbook for university instructors, with the outline for a possible course structure suggested in the preface. The editors are all members of the Computing and Mathematics Department at the University of Derby, UK, where Dr. Shao Ying Zhu serves as a Senior Lecturer in Computing, Dr. Richard Hill as a Professor and Head of the Computing and Mathematics Department, and Dr. Marcello Trovati as a Senior Lecturer in Mathematics. The other publications of the editors include the Springer titles Big-Data Analytics and Cloud Computing, Guide to Cloud Computing and Cloud Computing for Enterprise Architectures.