25 research outputs found

    Applications Sharing using Binding Server for Distributed Environment

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    Abstract Today's environment is a fast growing environment and data is distributed for the expansion of computation. Distributed computing has a major issue such as how to share a data, how to locate the services and how to make it scalable. When a limited number of nodes are available and load of running application is more as well as overhead are also major then sharing of applications among the node will definitely improve the performance of system. Locating the registered nodes to the binding server is located by making remote procedure call. Using appropriate load balancing technique threshold value will be calculated and sharing of the application on node are performed and utilization of processor as well as resources can be balanced accordingly

    Research and development of accounting system in grid environment

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    The Grid has been recognised as the next-generation distributed computing paradigm by seamlessly integrating heterogeneous resources across administrative domains as a single virtual system. There are an increasing number of scientific and business projects that employ Grid computing technologies for large-scale resource sharing and collaborations. Early adoptions of Grid computing technologies have custom middleware implemented to bridge gaps between heterogeneous computing backbones. These custom solutions form the basis to the emerging Open Grid Service Architecture (OGSA), which aims at addressing common concerns of Grid systems by defining a set of interoperable and reusable Grid services. One of common concerns as defined in OGSA is the Grid accounting service. The main objective of the Grid accounting service is to ensure resources to be shared within a Grid environment in an accountable manner by metering and logging accurate resource usage information. This thesis discusses the origins and fundamentals of Grid computing and accounting service in the context of OGSA profile. A prototype was developed and evaluated based on OGSA accounting-related standards enabling sharing accounting data in a multi-Grid environment, the World-wide Large Hadron Collider Grid (WLCG). Based on this prototype and lessons learned, a generic middleware solution was also implemented as a toolkit that eases migration of existing accounting system to be standard compatible.EThOS - Electronic Theses Online ServiceEngineering and Physical Sciences Research Council (EPSRC)Stanford UniversityGBUnited Kingdo

    Advances in Evolutionary Algorithms

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    With the recent trends towards massive data sets and significant computational power, combined with evolutionary algorithmic advances evolutionary computation is becoming much more relevant to practice. Aim of the book is to present recent improvements, innovative ideas and concepts in a part of a huge EA field

    Ambienti Grid HPC: un prototipo per il supporto della gestione delle risorse

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    La tesi presenta una rassegna critica di ambienti di griglia per computazione "master/worker" e discute la realizzazione di un'estensione del framework DIANE, volto al supporto della gestione delle risorse di grigli

    MOTEUR: a data-intensive service-based workflow manager

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    I3S laboratory Research Report (I3S/RR-2006-07-FR), Sophia Antipolis, FranceMOTEUR is a service-based workflow manager designed to efficiently process data-intensive applications on grid infras- tructures. It exploits several levels of parallelism and can group services to reduce the workflow execution time. In addition, MOTEUR uses a generic web service wrapper to ease the use of legacy or non-service aware codes. In this report, we present MOTEUR and the optimization strategies implemented. We show how it is defining a precise data flows semantics to express complex data-intensive applications in a compact framework. MOTEUR' Service-Oriented Architecture is detailed, demon- strating the flexibility of the approach adopted. Results are given on a real application to medical images processing using two different grid infrastructures

    GWpilot: Enabling multi-level scheduling in distributed infrastructures with GridWay and pilot jobs

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    Current systems based on pilot jobs are not exploiting all the scheduling advantages that the technique offers, or they lack compatibility or adaptability. To overcome the limitations or drawbacks in existing approaches, this study presents a different general-purpose pilot system, GWpilot. This system provides individual users or institutions with a more easy-to-use, easy-toinstall, scalable, extendable, flexible and adjustable framework to efficiently run legacy applications. The framework is based on the GridWay meta-scheduler and incorporates the powerful features of this system, such as standard interfaces, fair-share policies, ranking, migration, accounting and compatibility with diverse infrastructures. GWpilot goes beyond establishing simple network overlays to overcome the waiting times in remote queues or to improve the reliability in task production. It properly tackles the characterisation problem in current infrastructures, allowing users to arbitrarily incorporate customised monitoring of resources and their running applications into the system. This functionality allows the new framework to implement innovative scheduling algorithms that accomplish the computational needs of a wide range of calculations faster and more efficiently. The system can also be easily stacked under other software layers, such as self-schedulers. The advanced techniques included by default in the framework result in significant performance improvements even when very short tasks are scheduled
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