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An Open Framework for Developing Distributed Computing Environments for Multidisciplinary Computational Simulations

An Open Framework for Developing Distributed Computing Environments for Multidisciplinary Computational Simulations PDF Author: Purushotham Venkataramaiah Bangalore
Publisher:
ISBN:
Category : Computer networks
Languages : en
Pages :

Book Description
Multidisciplinary computational simulations involve interactions between distributed applications, datasets, products, resources, and users. Because the very nature of the simulation software emphasizes a single-computer, small-usership and audience, the kinds of applications that have been developed often are unfriendly to incorporation into a distributed model. However, advances in networking infrastructure, and the natural tendency for information to be geographically distributed place strong requirements on integration of single-computer codes with distributed information sources, as well as multiple computer codes that are geographically distributed in their execution. The hypothesis of this dissertation is that it is possible, via novel integration of Internet, Distributed Computing, and Grid technologies, to create a distributed computational simulation systems that satisfies the requirements of modern multidisciplinary computational simulation systems without compromising functionality, performance, or security of existing applications. Furthermore, such a system would integrate disparate applications, resources, and users and would improve the productivity of users by providing new functionality not currently available. The hypothesis is proved constructively by first prototyping the Enterprise Computational Services framework based on a multi-tier architecture using the Java 2 Enterprise Edition platform and Web Services and then two distributed systems, the Distributed Marine Environment Forecast System and Distributed Simulation System for Seismic Performance of Urban Regions, are prototyped using this enabling framework. Several interfaces to the framework are prototyped to illustrate that the same framework can be used to develop multiple front-end clients required to support different types of users within a given computational domain. The two domain specific distributed environments prototyped using the framework illustrate that the framework provides a reusable common infrastructure irrespective of the computational domain. The effectiveness and utility of the distributed system and the framework are demonstrated by using a representative collection of computational simulations. Additional benefits provided by the distributed systems in terms of new functionality provided are evaluated to determine the impact on user productivity. The key contribution of this dissertation is a reusable infrastructure that could evolve to meet the requirements of next-generation hardware and software architectures while supporting interaction between a diverse set of users and distributed computational resources and multidisciplinary applications.

An Open Framework for Developing Distributed Computing Environments for Multidisciplinary Computational Simulations

An Open Framework for Developing Distributed Computing Environments for Multidisciplinary Computational Simulations PDF Author: Purushotham Venkataramaiah Bangalore
Publisher:
ISBN:
Category : Computer networks
Languages : en
Pages :

Book Description
Multidisciplinary computational simulations involve interactions between distributed applications, datasets, products, resources, and users. Because the very nature of the simulation software emphasizes a single-computer, small-usership and audience, the kinds of applications that have been developed often are unfriendly to incorporation into a distributed model. However, advances in networking infrastructure, and the natural tendency for information to be geographically distributed place strong requirements on integration of single-computer codes with distributed information sources, as well as multiple computer codes that are geographically distributed in their execution. The hypothesis of this dissertation is that it is possible, via novel integration of Internet, Distributed Computing, and Grid technologies, to create a distributed computational simulation systems that satisfies the requirements of modern multidisciplinary computational simulation systems without compromising functionality, performance, or security of existing applications. Furthermore, such a system would integrate disparate applications, resources, and users and would improve the productivity of users by providing new functionality not currently available. The hypothesis is proved constructively by first prototyping the Enterprise Computational Services framework based on a multi-tier architecture using the Java 2 Enterprise Edition platform and Web Services and then two distributed systems, the Distributed Marine Environment Forecast System and Distributed Simulation System for Seismic Performance of Urban Regions, are prototyped using this enabling framework. Several interfaces to the framework are prototyped to illustrate that the same framework can be used to develop multiple front-end clients required to support different types of users within a given computational domain. The two domain specific distributed environments prototyped using the framework illustrate that the framework provides a reusable common infrastructure irrespective of the computational domain. The effectiveness and utility of the distributed system and the framework are demonstrated by using a representative collection of computational simulations. Additional benefits provided by the distributed systems in terms of new functionality provided are evaluated to determine the impact on user productivity. The key contribution of this dissertation is a reusable infrastructure that could evolve to meet the requirements of next-generation hardware and software architectures while supporting interaction between a diverse set of users and distributed computational resources and multidisciplinary applications.

An Open Framework for Developing Distributed Computing Environments for Multidisciplinary Computational Simulations

An Open Framework for Developing Distributed Computing Environments for Multidisciplinary Computational Simulations PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description
Multidisciplinary computational simulations involve interactions between distributed applications, datasets, products, resources, and users. Because the very nature of the simulation software emphasizes a single-computer, small-usership and audience, the kinds of applications that have been developed often are unfriendly to incorporation into a distributed model. However, advances in networking infrastructure, and the natural tendency for information to be geographically distributed place strong requirements on integration of single-computer codes with distributed information sources, as well as multiple computer codes that are geographically distributed in their execution. The hypothesis of this dissertation is that it is possible, via novel integration of Internet, Distributed Computing, and Grid technologies, to create a distributed computational simulation systems that satisfies the requirements of modern multidisciplinary computational simulation systems without compromising functionality, performance, or security of existing applications. Furthermore, such a system would integrate disparate applications, resources, and users and would improve the productivity of users by providing new functionality not currently available. The hypothesis is proved constructively by first prototyping the Enterprise Computational Services framework based on a multi-tier architecture using the Java 2 Enterprise Edition platform and Web Services and then two distributed systems, the Distributed Marine Environment Forecast System and Distributed Simulation System for Seismic Performance of Urban Regions, are prototyped using this enabling framework. Several interfaces to the framework are prototyped to illustrate that the same framework can be used to develop multiple front-end clients required to support different types of users within a given computational domain. The two domain specific distributed environments prototyped using the framework illustrate that the framework provide.

Dissertation Abstracts International

Dissertation Abstracts International PDF Author:
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 860

Book Description


Large-Scale Distributed Computing and Applications: Models and Trends

Large-Scale Distributed Computing and Applications: Models and Trends PDF Author: Cristea, Valentin
Publisher: IGI Global
ISBN: 161520704X
Category : Computers
Languages : en
Pages : 276

Book Description
Many applications follow the distributed computing paradigm, in which parts of the application are executed on different network-interconnected computers. The extension of these applications in terms of number of users or size has led to an unprecedented increase in the scale of the infrastructure that supports them. Large-Scale Distributed Computing and Applications: Models and Trends offers a coherent and realistic image of today's research results in large scale distributed systems, explains state-of-the-art technological solutions for the main issues regarding large scale distributed systems, and presents the benefits of using large scale distributed systems and the development process of scientific and commercial distributed applications.

Toward a Flexible and Reconfigurable Distributed Simulation: A New Approach to Distributed DEVS.

Toward a Flexible and Reconfigurable Distributed Simulation: A New Approach to Distributed DEVS. PDF Author: Ming Zhang
Publisher:
ISBN:
Category :
Languages : en
Pages : 274

Book Description
With the increased demand for distributed simulation to support large-scale modeling and simulation applications, much research has focused on developing a suitable framework to support simulation across a heterogeneous computing network. Middleware based solutions have dominated this area for years, however, they lack the flexibility for model partitions and dynamic repartition due to their innate static natures. In this dissertation, a novel approach for DEVS based distributed simulation framework is proposed and implemented. The objective of such a framework is to distribute simulation entities across network nodes seamlessly without any of the commonly used middleware, as well as to support adaptive and reconfigurable simulations during run-time. This new approach, called DEVS/RMI, is proved to be well suited for complex, computationally intensive simulation applications and its flexibility in a distributed computing environment promotes a rapid development of distributed simulation applications. A hilly terrain continuous spatial model is studied to show how DEVS/RMI can easily refactor the simulations to accommodate both increases of the resolution and computation nodes. Furthermore, an agent-based valley fever model is investigated in this dissertation with particular interests on the concept of DEVS"activity". Dynamic reconfiguration of distributed simulation is then exemplified using the"activity"based model repartition in a DEVS/RMI supported environment. The flexibility and reconfigurable nature of DEVS/RMI open up further investigations into the relationship between speedup of a simulation and the partition or repartition algorithm used in a distributed simulation environment.

Open Distributed Processing and Distributed Platforms

Open Distributed Processing and Distributed Platforms PDF Author: Jerome Rolia
Publisher: Springer
ISBN: 0387351884
Category : Computers
Languages : en
Pages : 325

Book Description
Advances in computer networking have allowed computer systems across the world to be interconnected. Open Distributed Processing (ODP) systems are those that support heterogenous distributed applications both within and between autonomous organizations. Many challenges must be overcome before ODP systems can be fully realized. This book describes the recent advances in the theory and practice of developing, deploying and managing open distributed systems. Applications of these systems include but are not limited to telecommunication, medical and large scale transaction processing and electronic commerce systems. All of these are currently developed on distributed platforms. For anybody working in industry or research in this field, Open Distributed Processing and Distributed Platforms will prove an invaluable text.

Ruling Distributed Dynamic Worlds

Ruling Distributed Dynamic Worlds PDF Author: Peter Sapaty
Publisher: John Wiley & Sons
ISBN: 0471656364
Category : Computers
Languages : en
Pages : 288

Book Description
A sequel to Mobile Processing in Distributed and Open Environments,this title introduces an extended, universal WAVE-WP model fordistributed processing and control in dynamic and open worlds ofany natures. The new control theory and technology introduced inthe book can be widely used for the design and implementation ofmany distributed control systems, such as intelligent networkmanagement for the Internet, mobile cooperative robots, RapidReaction forces, future Combat Systems, robotics and AI, NMD, spaceresearch on other planets, and other applications. This title: * Demonstrates a much simpler and more efficient applicationprogramming * Cultivates a new kind of thinking about how large dynamic systemsshould be designed, organized, tasked, simulated, andcontrolled * Introduces an extended, universal WAVE-WP model for distributedprocessing * Compares the universal WAVE-WP model to other existing systemsused in intelligent networking

Advanced Computational Infrastructures for Parallel and Distributed Adaptive Applications

Advanced Computational Infrastructures for Parallel and Distributed Adaptive Applications PDF Author: Manish Parashar
Publisher: John Wiley & Sons
ISBN: 0470558016
Category : Computers
Languages : en
Pages : 542

Book Description
A unique investigation of the state of the art in design, architectures, and implementations of advanced computational infrastructures and the applications they support Emerging large-scale adaptive scientific and engineering applications are requiring an increasing amount of computing and storage resources to provide new insights into complex systems. Due to their runtime adaptivity, these applications exhibit complicated behaviors that are highly dynamic, heterogeneous, and unpredictable—and therefore require full-fledged computational infrastructure support for problem solving, runtime management, and dynamic partitioning/balancing. This book presents a comprehensive study of the design, architecture, and implementation of advanced computational infrastructures as well as the adaptive applications developed and deployed using these infrastructures from different perspectives, including system architects, software engineers, computational scientists, and application scientists. Providing insights into recent research efforts and projects, the authors include descriptions and experiences pertaining to the realistic modeling of adaptive applications on parallel and distributed systems. The first part of the book focuses on high-performance adaptive scientific applications and includes chapters that describe high-impact, real-world application scenarios in order to motivate the need for advanced computational engines as well as to outline their requirements. The second part identifies popular and widely used adaptive computational infrastructures. The third part focuses on the more specific partitioning and runtime management schemes underlying these computational toolkits. Presents representative problem-solving environments and infrastructures, runtime management strategies, partitioning and decomposition methods, and adaptive and dynamic applications Provides a unique collection of selected solutions and infrastructures that have significant impact with sufficient introductory materials Includes descriptions and experiences pertaining to the realistic modeling of adaptive applications on parallel and distributed systems The cross-disciplinary approach of this reference delivers a comprehensive discussion of the requirements, design challenges, underlying design philosophies, architectures, and implementation/deployment details of advanced computational infrastructures. It makes it a valuable resource for advanced courses in computational science and software/systems engineering for senior undergraduate and graduate students, as well as for computational and computer scientists, software developers, and other industry professionals.

Performance-oriented Application Development for Distributed Architectures

Performance-oriented Application Development for Distributed Architectures PDF Author: M. Gerndt
Publisher: IOS Press
ISBN: 9781586032678
Category : Computers
Languages : en
Pages : 112

Book Description
Annotation This publication is devoted to programming models, languages, and tools for performance-oriented program development in commercial and scientific environments. The included papers have been written based on presentations given at the workshop PADDA 2001. The goal of the workshop was to identify common interests and techniques for performance-oriented program development in commercial and scientific environments. Distributed architectures currently dominate the field of highly parallel computing. Distributed architectures, based on Internet and mobile computing technologies, are important target architectures in the domain of commercial computing too. The papers in this publication come from the two areas: scientific computing and commercial computing.

Delta-4: A Generic Architecture for Dependable Distributed Computing

Delta-4: A Generic Architecture for Dependable Distributed Computing PDF Author: David Powell
Publisher: Springer Science & Business Media
ISBN: 3642846963
Category : Computers
Languages : en
Pages : 477

Book Description
Delta-4 is a 5-nation, 13-partner project that has been investigating the achievement of dependability in open distributed systems, including real-time systems. This book describes the design and validation of the distributed fault-tolerant architecture developed within this project. The key features of the Delta-4 architecture are: (a) a distributed object-oriented application support environment; (b) built-in support for user-transparent fault tolerance; (c) use of multicast or group communication protocols; and (d) use of standard off the-shelf processors and standard local area network technology with minimum specialized hardware. The book is organized as follows: The first 3 chapters give an overview of the architecture's objectives and of the architecture itself, and compare the proposed solutions with other approaches. Chapters 4 to 12 give a more detailed insight into the Delta-4 architectural concepts. Chapters 4 and 5 are devoted to providing a firm set of general concepts and terminology regarding dependable and real-time computing. Chapter 6 is centred on fault-tolerance techniques based on distribution. The description of the architecture itself commences with a description of the Delta-4 application support environment (Deltase) in chapter 7. Two variants of the architecture - the Delta-4 Open System Architecture (OSA) and the Delta-4 Extra Performance Architecture (XPA) - are described respectively in chapters 8 and 9. Both variants of the architecture have a common underlying basis for dependable multicasting, i. e.