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SUMMARYGrid-enabled infrastructures and problem-solving environments can significantly increase the scale, cost-effectiveness and utility of scientific simulations, enabling highly accurate simulations that provide in-depth insight into complex phenomena. This paper presents a prototype of such an environment, i.e. an interactive and collaborative problem-solving environment for the formulation, development, deployment and management of oil reservoir and environmental flow simulations in computational Grid environments. The project builds on three independent research efforts: (1) the IPARS oil reservoir and environmental flow simulation framework; (2) the NetSolve Grid engine; and (3) the Discover Grid-based computational collaboratory. Its primary objective is to demonstrate the advantages of an integrated simulation infrastructure towards effectively supporting scientific investigation on the Grid, and to investigate the components and capabilities of such an infrastructure.

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Networking products, is based on three technological pillars. First, dense wavelength division multiplexing (DWDM) allows many different independently modulated wavelengths (colors) of light to be carried together on a single optical fiber. Depending upon technology, a fiber can have 32 to 160 different wavelengths, each carrying between 10 and 40 billion bits per second. The second pillar is broadband optical amplification, which allows many wavelengths to be amplified simultaneously without requiring electrical regeneration. The third and most recent pillar is wavelength-granularity optical switching. With such switching, an optical

In this paper, we outline the Grid 2.0 Research, a collaborative Smart Grid research program between Gachon Energy Research Institute (GERI) of Kyungwon University and Bell Labs of Alcatel-Lucent. Salient features of the Grid 2.0 Research are the active role of distributed fixed and mobile energy storage, distributed renewable energy sources, and active load-side participation. Our focus is not on the energy storage itself but rather on the supporting infrastructure including communication network, security, and economics of the Smart Grid. Grid 2.0 Research views the Smart Grid as an ecosystem.In this regard, we pay close attention to the components and systems which require significant fundamental advancement or systems which do not exist today, thus requiring innovative solutions or greater sophistication. In order to realize a functioning ecosystem, critical components and tools of the envisioned Smart Grid are identified. This research work has been motivated by the Smart Grid roadmap of KEPCO and the Jeju Island Smart Grid Test-bed of Korea which will be discussed following the introduction section. Areas of research focus will be explained in a concise manner in the subsequent sections.