1 / 7

Computer Science Perspective

Computer Science Perspective. Ludek Matyska Faculty of Informatics, Masaryk University, Brno and also CESNET, Prague. Grid Infrastructures. Short(er) term activities Use existing knowledge, methodology and tools bases Still more proof of concept than real production platform

ywhite
Télécharger la présentation

Computer Science Perspective

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. Computer Science Perspective Ludek Matyska Faculty of Informatics, Masaryk University, Brno and also CESNET, Prague

  2. Grid Infrastructures • Short(er) term activities • Use existing knowledge, methodology and tools bases • Still more proof of concept than real production platform • Homogeneity the only currently known way how to achieve production level quality

  3. Network Connection • Middleware, esp. security (AAA) • Resource location and brokering • Resource management and scheduling • Predictive transfer of large amounts of data • Grids much more heterogeneous and complex

  4. Longer term research • New computational models • Collaborative environments • virtual worlds • Adaptable computing environment • On demand computing • Security • Heterogeneity

  5. Peer to peer systems • Truly distributed systems (no centre) • Analogy of Internet itself • Search for • appropriate software architecture • security models and accountability • managerial issues • deployment (Virtual organisations)

  6. Adaptive Computing • New distributed algorithms • Adaptive systems • self-organizing • reacting on (inevitable) changes in the network and computing environment • Autonomous systems • persistent • consistency in large scale distributed collaborating systems

  7. Collaborative Environments • People to people and people to computers • Technological and psychological aspects • Coupling computational Grids (scientific visualisation) with videoconferencing tools, shared objects (documents, files, presentations, …) • New immersive environments

More Related