LSF (Load Sharing Facility) Multicluster is the enabling software which allows load sharing among disparate LSF clusters. It supports transparent access to remote cluster configuration and load information, distributi...
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This paper describes a tool that mimics the design of the remote procedure call (RPC) system to support the building of replicated objects in a cluster of workstations (COW). The tool includes an interface definition ...
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ISBN:
(纸本)0769510116
This paper describes a tool that mimics the design of the remote procedure call (RPC) system to support the building of replicated objects in a cluster of workstations (COW). The tool includes an interface definition language for describing a replica group, a language preprocessor and a runtime library system. The paper also presents one example and discusses some performance issues for replicated objects.
TACO (Topologies and Collections) is a template library that introduces the flavour of distributed data parallel processing by means of reusable topology classes and C++ templates. This paper introduces TACO's bas...
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ISBN:
(纸本)0769510108;0769510116
TACO (Topologies and Collections) is a template library that introduces the flavour of distributed data parallel processing by means of reusable topology classes and C++ templates. This paper introduces TACO's basic abstractions and provides a performance analysis for basic collective operations on various cluster architectures with several different networks.
SQL queries in the real world are replete with group-by and join operations. This type of queries is often known as GroupBy-Join queries. In some GroupBy-Join queries, it is desirable to perform group-by before join i...
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This paper provides an up-to-date overview of the Sun grid Engine distributed resource management software and of future plans to enhance it towards and integrate it into computational grid environments. The main scop...
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Resource management is an important infrastructure in the gridcomputing environment. Scalability and adaptability are two key challenges in the implementation of such complex software systems. In this work we introdu...
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ISBN:
(纸本)0769510108;0769510116
Resource management is an important infrastructure in the gridcomputing environment. Scalability and adaptability are two key challenges in the implementation of such complex software systems. In this work we introduce a new model for resource management in a metacomputing environment using a hierarchy of homogeneous agents that has the capability of service discovery. The performance of the agent system can be improved using different combinations of optimisation strategies. A modelling and simulation environment has been developed in this work that enables the performance of the system to be investigated. A simplified model of the resource management infrastructure is given as a case study and simulation results are included that show the impact of the choice of performance optimisation strategies on the overall system performance.
grid systems are becoming the underlying infrastructure for many high-performance distributed scientific, applications. Resources in these systems have heterogeneous features, are connected by potentially unreliable n...
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ISBN:
(纸本)0769510116
grid systems are becoming the underlying infrastructure for many high-performance distributed scientific, applications. Resources in these systems have heterogeneous features, are connected by potentially unreliable networks, and are often under different administrative management domains. These remarks show how a new generation of techniques, mechanisms and tools need to he considered, that can cope with the complexity of such systems and provide the performances suitable for scientific computing applications. In this paper, an architecture for monitoring services in grid environments based on mobile agent technology is presented, One of the most interesting aspects of the proposed approach is the possibility of customizing the parameters to be monitored. After describing the general framework where agents will execute, an application for improving the capabilities of traditional network monitoring paradigms will be presented.
This paper presents Orespics, an environment to learn concurrency. Orespics supports a didactic methodology inspired by the constructionistic theory, and based oil the resolution of 'real life problems'. Stude...
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ISBN:
(纸本)0769510108;0769510116
This paper presents Orespics, an environment to learn concurrency. Orespics supports a didactic methodology inspired by the constructionistic theory, and based oil the resolution of 'real life problems'. Students program microworlds using a language based on the integration of the Logo turtles commands along with a set of message passing constructs. The environment includes a window based interface and a set of tools to define the characteristics of the microworld, the behavior of the agents. and to monitor the execution of the program. The paper presents the programming language and shows the main functions of the environment using a concrete example.
In this paper, we address the design of a generic and scalable platform for clustercomputing. The architecture of the platform is based on middleware technology in order to ensure easy distribution of the software co...
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ISBN:
(纸本)0769510116
In this paper, we address the design of a generic and scalable platform for clustercomputing. The architecture of the platform is based on middleware technology in order to ensure easy distribution of the software components along the participating workstations and to exploit advanced communication techniques, such as event notification and object registration. The computational tasks are referred to as Intelligent Agents, which are software agents that are capable of executing particular algorithms on input data. The developed platform offers advanced features such as transparent load balancing, task scheduling, run time compilation of agent code and migration of tasks. The architecture of the platform will be outlined front a computational point of view and each component will be described in detail. Furthermore, the engineering aspects of the platform will be covered. lit addition. a sample scenario for computational tasks in the area of telecommunication network design and management will be described.
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