Web Services and Formal Methods

This book constitutes the thoroughly refereed post-proceedings of the 8th International Workshop on Web Services and Formal Methods, WS-FM 2011, held in Clermont-Ferrand, France, in September 2011. Th

This book constitutes the thoroughly refereed post-workshop proceedings of the 7th International Workshop on Web Services and Formal Methods, WS-FM 2010, held in Hoboken, NJ, USA, in September 2010. T

With recent advances in radio-frequency identification (RFID) technology, sensor networks, and enhanced Web services, the original World Wide Web is continuing its evolution into what is being called

This book constitutes the refereed proceedings of two colocated international workshops EPEW 2005 (European Performance Engineering Workshop) and WS-FM 2005 (Web Services and Formal Methods) held in V

This book presents a methodology to model and specify the data aspect of Web services, as it is overlooked by current standards for specifying Web services. The formal specification enables verificati

Public service innovation, defined as the adoption of new technology and methods of service delivery, is at the heart of public management research. Scholars have long studied public and private sector innovation as distinctive phenomena, arguing that private sector innovation aims to increase firms' competitive advantage, while public sector innovation purports to improve governance and performance. The public-private dichotomy overlooks the complex way how organizations interact with each other for service delivery. Public services are increasingly delivered through the web of collaborative networks, in which organizations compete and cooperate simultaneously. This Element explores how coopetition, namely the simultaneous presence of competition and collaboration, shapes innovation in the health care sector. Analyzing panel data of 4,000+ American hospitals from 2008 to 2017, this Element finds evidence that coopetition catalyzes the technology and service process innovation and offe

This rigorous, self-contained book describes mathematical and, in particular, stochastic and graph theoretic methods to assess the performance of complex networks and systems. It comprises three parts: the first is a review of probability theory; Part II covers the classical theory of stochastic processes (Poisson, Markov and queueing theory), which are considered to be the basic building blocks for performance evaluation studies; Part III focuses on the rapidly expanding new field of network science. This part deals with the recently obtained insight that many very different large complex networks – such as the Internet, World Wide Web, metabolic and human brain networks, utility infrastructures, social networks – evolve and behave according to general common scaling laws. This understanding is useful when assessing the end-to-end quality of Internet services and when designing robust and secure networks. Containing problems and solved solutions, the book is ideal for graduate student

This rigourous and self-contained book describes mathematical and, in particular, stochastic methods to assess the performance of networked systems. It consists of three parts. The first part is a review on probability theory. Part two covers the classical theory of stochastic processes (Poisson, renewal, Markov and queuing theory), which are considered to be the basic building blocks for performance evaluation studies. Part three focuses on the relatively new field of the physics of networks. This part deals with the recently obtained insights that many very different large complex networks - such as the Internet, World Wide Web, proteins, utility infrastructures, social networks - evolve and behave according to more general common scaling laws. This understanding is useful when assessing the end-to-end quality of communications services, for example, in Internet telephony, real-time video and interacting games. Containing problems and solutions, this book is ideal for graduate studen

This textbook, for second- or third-year students of computer science, presents insights, notations, and analogies to help them describe and think about algorithms like an expert, without grinding through lots of formal proof. Solutions to many problems are provided to let students check their progress, while class-tested PowerPoint slides are on the web for anyone running the course. By looking at both the big picture and easy step-by-step methods for developing algorithms, the author guides students around the common pitfalls. He stresses paradigms such as loop invariants and recursion to unify a huge range of algorithms into a few meta-algorithms. The book fosters a deeper understanding of how and why each algorithm works. These insights are presented in a careful and clear way, helping students to think abstractly and preparing them for creating their own innovative ways to solve problems.