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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.…
Document Type: | Master's Thesis |
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Zitierlink: | https://opus.hs-offenburg.de/962 | Bibliografische Angaben |
Title (English): | Distributed Flow Control and Intelligent Data Transfer in High Performance Computing Networks |
Author: | Mehdi Sadeghi |
Advisor: | Katharina Mehner-Heindl, Adham Hashibon |
Year of Publication: | 2015 |
Date of first Publication: | 2015/03/31 |
Date of final exam: | 2015/03/31 |
Publishing Institution: | Hochschule Offenburg |
Granting Institution: | Hochschule Offenburg |
Place of publication: | Offenburg |
Page Number: | x, 61 |
URL: | https://github.com/mehdisadeghi/cme-thesis/raw/master/thesis.pdf |
URN: | https://urn:nbn:de:bsz:ofb1-opus4-9621 |
Language: | English | Inhaltliche Informationen |
Institutes: | Abschlussarbeiten / Master-Studiengänge / CME |
DDC classes: | 000 Allgemeines, Informatik, Informationswissenschaft |
GND Keyword: | Hochleistungsrechnen , Informatik |
Tag: | Decentralized applications; Distributed computing; High Performance Computing (HPC); Scientific workflow | Formale Angaben |
Open Access: | Open Access |
Licence (German): | Creative Commons - Namensnennung-Weitergabe unter gleichen Bedingungen |
SWB-ID: | 165803533X |