1 / 3

Dynamic Network Allocation Enhances Scientific Experiments on Lambda-Grids

Explore the benefits of dynamic network allocation in e-Science with "Mouse.BIRN" example, enabling new scientific experiments that are not feasible with static allocation methods. Learn from observations by Tal Lavian on enhancing research processes.

thais
Télécharger la présentation

Dynamic Network Allocation Enhances Scientific Experiments on Lambda-Grids

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. BIRN Mouse Applications Net Grid Apps Middleware Comp Grid Lambda-Grid DTS GT4 Data Grid OGSI-fy NRS Meta- Scheduler SRB Control Plane Network(s) NMI Resource Managers C S D V I S D S S

  2. e-Science example “Mouse BIRN” • Other Observations: • Not Feasible To Port Computation to Data • Delays Preclude Interactive Research: Copy, Then Analyze • Uncertain Transport Times Force A Sequential Process – Schedule Processing After Data Has Arrived • No cooperation/interaction among Storage, Computation & Network Middlewares • Dynamic network allocation as part of Grid Workflow, allows for new scientific experiments that are not possible with today’s static allocation Source: Tal Lavian (UCB, Nortel Labs)

More Related