Sumit Naiksatam

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Advance reservation is an important part of grid computing. It guarantees that resources will be available at a predetermined time to participate in the execution of a grid application. The advance reservation and scheduling of optical networks are key in guaranteeing that enough bandwidth, i.e., lightpaths, will be available for an application during a(More)
We introduce the concept of elastic reservation of bandwidth capacity to mitigate the problem of bandwidth fragmentation in LambdaGrids and present a network model which can support elastic reservations. We also define the Elastic Scheduling Problem (ESP), which succinctly captures the optimal utilization objective of elastic reservations. Analysis of ESP(More)
Advances in Grid technology enable the deployment of data-intensive distributed applications, which require moving Terabytes or even Petabytes of data between data banks. The current underlying nehvorks cannut provide dedicated links with adequate end-to-end sustained bandwidth to support ihe requirements of these Grid applications. DWDM-RAM' is a novel(More)
The scheme of advance reservations in dynamically pro-visioned optical networks is novel, and there are no grid-based applications designed to utilize this scheme. We formally define and analyze this scheme and present a constrained mathematical model for advance reservations. We also introduce FONTS-the Flexible Optical Network Traffic Simulator, a tool(More)
The ability to reserve network bandwidth is a critical factor for the success of high-performance grid applications. Reservation of lightpaths in dynamically switched optical networks facilitates guaranteed bandwidth. However, reservation of bandwidth can often lead to bandwidth fragmentation which significantly reduces system utilization and increases the(More)
Next generation applications and architectures (for example, Grids) are driving radical changes in the nature of traffic, service models, technology, and cost, creating opportunities for an advanced communications infrastructure to tackle next generation data services. To take advantage of these trends and opportunities, research communities are creating(More)
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