• search hit 14 of 53
Back to Result List

Distributed Flow Control and Intelligent Data Transfer in High Performance Computing Networks

  • This document contains my master thesis report, including problem definition, requirements, problem analysis, review of current state of the art, proposed solution, designed prototype, discussions and conclusion. During this work we propose a collaborative solution to run different types of operations in a broker-less network without relying on a central orchestrator. Based on our requirements,This document contains my master thesis report, including problem definition, requirements, problem analysis, review of current state of the art, proposed solution, designed prototype, discussions and conclusion. During this work we propose a collaborative solution to run different types of operations in a broker-less network without relying on a central orchestrator. Based on our requirements, we define and analyze a number of scenarios. Then we design a solution to address those scenarios using a distributed workflow management approach. We explain how we break a complicated operation into simpler parts and how we manage it in a non-blocking and distributed way. Then we show how we asynchronously launch them on the network and how we collect and aggregate results. Later on we introduce our prototype which demonstrates the proposed design.show moreshow less

Download full text files

  • thesis.pdfeng
    (477KB)

    I would like to publish my master thesis document in digital format. The content is under Creative Commons Attribution- ShareAlike 3.0 License as stated in the early pages of the document.

Export metadata

Additional Services

Share in Twitter Search Google Scholar
Metadaten
Author:Mehdi Sadeghi
Place of publication:Offenburg
Year of Publication:2015
Date of first Publication:2015/03/31
Pagenumber:61
Language:English
GND Keyword:Hochleistungsrechnen , Informatik
Tag:Decentralized applications; Distributed computing; High Performance Computing (HPC); Scientific workflow
DDC classes:000 Allgemeines, Informatik, Informationswissenschaft
Advisor:Katharina Mehner-Heindl
Publishing Institution:Hochschule Offenburg
Granting Institution:Hochschule Offenburg, Fakultät Medien und Informationswesen (M+I)
Date of final exam:2015/03/31
Document Type:Master's Thesis
Acces Right:Frei zugänglich
SWB-ID:165803533X
Release Date:2015/06/11
Licence (German):License LogoCreative Commons - Namensnennung-Weitergabe unter gleichen Bedingungen
URN:urn:nbn:de:bsz:ofb1-opus4-9621
URL:https://github.com/mehdisadeghi/cme-thesis/raw/master/thesis.pdf