Adaptive algorithms are an important technique to achieve portable high performance. They choose among solution methods and optimizations according to expected performance on a particular machine. Grid environments make the adaptation problem harder, because the optimal decision may change across runs and even during runtime. Therefore, the performance model used by an adaptive algorithm must be able to change decisions without high overhead. In this paper, we present work that is modifying previous research into rapid performance modeling to support adaptive grid applications through sampling and high granularity modeling. We also outline preliminary results that show the ability to predict differences in performance among algorithms in the same program.
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With the ever-increasing need for enterprises to provide endpoint security and policy compliance, Network Access Control (NAC) solutions abound. However, confusion around industry standards, the multitude of NAC vendors and the complexity of the solutions has led to a relatively slow industry-wide NAC adoption rate. In order to increase flexibility, simplicity and comprehensive cross-platform device support, Nortel has worked with Microsoft to provide a joint NAC solution. Interoperability features and benefits
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The introduction of Microsoft Visual Studio Team System (VSTS) and Team Foundation Server (TFS) changed the practice of Application Lifecycle Management throughout the software development industry. Enterprise organizations now have an affordable, full-featured solution that is designed from the ground up for seamless integration into Visual Studio. By adopting Visual Studio Team System in conjunction with Team Foundation Server, software development teams can easily collaborate on projects regardless of whether they are located within the same department, or dispersed across many geographical locations. Architects, developers, and testers have access to issue tracking, source control, project reporting, and build automation, all tightly integrated inside of Visual Studio, the leading .NET development environment.
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In both e-business and e-science, we often need to integrate services across distributed, heterogeneous, dynamic “virtual organizations” formed from the disparate resources within a single enterprise and/or from external resource sharing and service provider relationships. This integration can be technically challenging because of the need to achieve various qualities of service when running on top of different native platforms. We present an Open Grid Services Architecture that addresses these challenges.
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Emerging high-performance applications require the ability to exploit diverse, ge- ographically distributed resources. These applications use high-speed networks to in- tegrate supercomputers, large databases, archival storage devices, advanced visualiza- tion devices, and/or scienti?c instruments to form networked virtual supercomputers or metacomputers. While the physical infrastructure to build such systems is becoming widespread, the heterogeneous and dynamic nature of the metacomputing environment poses new challenges for developers of system software, parallel tools, and applications. In this article, we introduce Globus, a system that we are developing to address these challenges.
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Fundamentals and concepts Using the Globus Toolkit OGSA introduction Grid computing, most simply stated, is distributed computing taken to the next evolutionary level. The goal is to create the illusion of a simple yet large and powerful self managing virtual computer out of a large collection of connected heterogeneous systems sharing various combinations of resources. The standardization of communications between heterogeneous systems created the Internet explosion.
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This programmer’s guide is complemented by the administrator’s guide and the HTML documentation available in the directory jade/doc. If and where conflict arises between what is reported in the HTML documentation and this guide, preference should be given to the HTML documentation that is updated more frequently. JADE (Java Agent Development Framework) is a software development framework aimed at developing multi-agent systems and applications conforming to FIPA standards for intelligent agents. It includes two main products: a FIPA-compliant agent platform and a package to develop Java agents. JADE has been fully coded in Java and an agent programmer, in order to exploit the framework, should code his/her agents in Java, following the implementation guidelines described in this programmer’s guide.
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