Hrushikesha Mohanty – författare

Kansas City) and Ashok Srivastava (NASA Ames Research Center, USA). The tutorials were on security issues in distributed systems and enterprise resource planning. Wetake this opportunity to thank various peopleand organizations who c- tributed to make this conference a grand success. Our heartfelt thanks to the track chairs whose full cooperation and technical assessments were crucial to achieve this high level of quality even in the ?rst edition of the conference. The full participation of the program committee members and the reviewers made it possible to complete the peer-review process in time. We are extremely thankful to them. We would like to thank our advisors and general chair for having c- ?dence in us. Our special thanks go to A. Samanta and P. K. Mishra of KIIT for their support and encouragement in organizing this conference. We gratefully acknowledge the ?nancial and logistic support extended by KIIT in hosting this conference. TheAllIndiaCouncilofTechnicalEducation(AICTE),Government ofIndia,NewDelhiprovided agenerousgrant-in-aid fororganizingICDCIT. We thankfully acknowledge AICTE's support.We are thankful to Springer for its cooperation in publishing the proceedings in such a short time. We are also thankful to our parent departments, Department of Computer Science and - gineering, IIT Kanpur and Department of Computer and Information Sciences, University of Hyderabad, for providing infrastructural support to carry out the editorial work. We thank Krithi Ramamritham and Pradeep Khosla for agr- ing to deliver the lectures in the plenary sessions.

This book constitutes the refereed proceedings of the 4th International Conference on Distributed Computing and Internet Technology, ICDCIT 2007, held in Bangalore, India, in December 2007. The 13 revised full papers and 20 revised short papers presented together with three invited papers were carefully reviewed and selected from 170 submissions. The papers cover the main areas of distributed computing, internet technology, system security, data mining, and software engineering.

This volume contains the papers presented at the 6th International Conference on Distributed Computing and Internet Technology(ICDCIT 2010) held during February 15-17, 2010 in Bhubaneswar, India. The conference was organized by Kalinga Institute of Industrial Technology (KIIT) University, Bhubaneshwar, India,www.kiit.org,andco-organizedby the Center for ElectronicGovernance at United Nations University - International Institute for Software Technology (UNU-IIST-EGOV), Macao,www.egov.iist.unu.edu. InthetraditionoftheICDCITconferenceseries,ICDCIT2010welcomedp- sentations of research ideas and results in theory, methodology and applications of distributed computing and Internet technology. In addition, the conference emphasized that research in this area can play an important role in building a foundation for the development of e-Society Applications (e-Applications) and at the same time, that e-Applications can provide the relevance and context for such research. Establishing a connection between foundational and applied - searchin distributed systems and Internet technologywith softwareand services that enable e-Applications was a key feature of ICDCIT 2010.A total of 91 papers were submitted for ICDCIT 2010. Each paper was - viewedbyatleasttwomembersoftheProgramCommitteeoradditionalreferees.

This book is a collection of chapters written by experts on various aspects of big data. The book aims to explain what big data is and how it is stored and used. The book starts from  the fundamentals and builds up from there. It is intended to serve as a review of the state-of-the-practice in the field of big data handling. The traditional framework of relational databases can no longer provide appropriate solutions for handling big data and making it available and useful to users scattered around the globe. The study of big data covers a wide range of issues including management of heterogeneous data, big data frameworks, change management, finding patterns in data usage and evolution, data as a service, service-generated data, service management, privacy and security. All of these aspects are touched upon in this book. It also discusses big data applications in different domains. The book will prove useful to students, researchers, and practicing database and networking engineers.

This book is a collection of chapters written by experts on various aspects of big data. The book aims to explain what big data is and how it is stored and used. The book starts from  the fundamentals and builds up from there. It is intended to serve as a review of the state-of-the-practice in the field of big data handling. The traditional framework of relational databases can no longer provide appropriate solutions for handling big data and making it available and useful to users scattered around the globe. The study of big data covers a wide range of issues including management of heterogeneous data, big data frameworks, change management, finding patterns in data usage and evolution, data as a service, service-generated data, service management, privacy and security. All of these aspects are touched upon in this book. It also discusses big data applications in different domains. The book will prove useful to students, researchers, and practicing database and networking engineers.

This book is focused on the advancements in the field of software testing and the innovative practices that the industry is adopting. Considering the widely varied nature of software testing, the book addresses contemporary aspects that are important for both academia and industry. There are dedicated chapters on seamless high-efficiency frameworks, automation on regression testing, software by search, and system evolution management. There are a host of mathematical models that are promising for software quality improvement by model-based testing. There are three chapters addressing this concern. Students and researchers in particular will find these chapters useful for their mathematical strength and rigor. Other topics covered include uncertainty in testing, software security testing, testing as a service, test technical debt (or test debt), disruption caused by digital advancement (social media, cloud computing, mobile application and data analytics), and challenges and benefits of outsourcing. The book will be of interest to students, researchers as well as professionals in the software industry.

This book is focused on the advancements in the field of software testing and the innovative practices that the industry is adopting. Considering the widely varied nature of software testing, the book addresses contemporary aspects that are important for both academia and industry. There are dedicated chapters on seamless high-efficiency frameworks, automation on regression testing, software by search, and system evolution management. There are a host of mathematical models that are promising for software quality improvement by model-based testing. There are three chapters addressing this concern. Students and researchers in particular will find these chapters useful for their mathematical strength and rigor. Other topics covered include uncertainty in testing, software security testing, testing as a service, test technical debt (or test debt), disruption caused by digital advancement (social media, cloud computing, mobile application and data analytics), and challenges and benefits of outsourcing. The book will be of interest to students, researchers as well as professionals in the software industry.

This book focuses on web service specification, search, composition, validation, resiliency, security and engineering, and discusses various service specification standards like WSDL, SAWSDL, WSMO and OWLS. The theory and associated algorithms for service specification verification are detailed using formal models like Petrinet, FSM and UML. The book also explores various approaches proposed for web service search and composition, highlighting input/output, parameter-based search, and selection of services based on both functional and non-functional parameters. In turn, it examines various types of composite web services and presents an overview of popular fault handling strategies for each of these types. Lastly, it discusses the standards used for implementing web service security on the basis of a case study, and introduces the Web Service Development Life Cycle (WSDLC), which defines co-operation between several industry partners to develop web services in a more structured way.

This book contains chapters from academia as well as practitioners on big data technologies, artificial intelligence, machine learning, deep learning, data representation and visualization, business analytics, healthcare analytics, bioinformatics, etc.