Distributed Software Development Tools for Distributed Scientific Applications

This chapter provides a new methodology and two tools for user‐driven Wikinomics‐oriented scientific applications’ development. Service‐oriented architecture for such applications is used, where the entire research supporting computing or simulating process is broken down into a set of loosely coupled stages in the form of interoperating replaceable Web services that can be distributed over different clouds. Any piece of the code and any application component deployed on a system can be reused and transformed into a service. The combination of service‐oriented and cloud computing will indeed begin to challenge the way of research supporting computing development, the facilities of which are considered in this chapter

A Calculus for Orchestration of Web Services

Service-oriented computing, an emerging paradigm for distributed computing based on the use of services, is calling for the development of tools and techniques to build safe and trustworthy systems, and to analyse their behaviour. Therefore, many researchers have proposed to use process calculi, a cornerstone of current foundational research on specification and analysis of concurrent, reactive, and distributed systems. In this paper, we follow this approach and introduce CWS, a process calculus expressly designed for specifying and combining service-oriented applications, while modelling their dynamic behaviour. We show that CWS can model all the phases of the life cycle of service-oriented applications, such as publication, discovery, negotiation, orchestration, deployment, reconfiguration and execution. We illustrate the specification style that CWS supports by means of a large case study from the automotive domain and a number of more specific examples drawn from it

Building Interactive Distributed Applications in C++ with The Programmers\u27 Playground

The objective of The Programmers\u27 Playground, described in this manual, is to provide a development environment and underlying support for end-user construction of distributed multimedia applications from reusable self-describing software components. Playground provides a set of software tools and a methodology for simplifying the design and construction of applications that interact with each other and with people in a distributed computer system. This manual explains how to write interactive distributed applications using Playground. The only background necessary to get started is an understanding of basic data structures and control constructs in C++. If you already know C++, then with the tools provided by Playground, you will be able to write distributed applications without learning a new programming language and without needing to learn about how communication works in a distributed system

Scaling CUDA for Distributed Heterogeneous Processors

The mainstream acceptance of heterogeneous computing and cloud computing is prompting a future of distributed heterogeneous systems. With current software development tools, programming such complex systems is difficult and requires an extensive knowledge of network and processor architectures. Providing an abstraction of the underlying network, message-passing interface (MPI) has been the standard tool for developing distributed applications in the high performance community. The problem of MPI lies with its message-passing model, which is less expressive than the shared-memory model. Development of heterogeneous programming tools, such as OpenCL, has only begun recently. This thesis presents Phalanx, a framework that extends the virtual architecture of CUDA for distributed heterogeneous systems. Using MPI, Phalanx transparently handles intercommunication among distributed nodes. By using the shared-memory model, Phalanx simplifies the development of distributed applications without sacrificing the advantages of MPI. In one of the case studies, Phalanx achieves 28x speedup compared with serial execution on a Core-i7 processor