Thesis Open Access

Application aware digital objects access and distribution using Named Data Networking (NDN)

Mousa, Rahaf


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.889740", 
  "title": "Application aware digital objects access and distribution using Named Data Networking (NDN)", 
  "issued": {
    "date-parts": [
      [
        2017, 
        7, 
        14
      ]
    ]
  }, 
  "abstract": "<p>In big data infrastructures, Persistent Identifiers (PIDs) are widely used to identify digital</p>\n\n<p>content and research data. A typical example of PIDs is the Digital Object Identifier (DOI). In</p>\n\n<p>a data centric application (such as a scientific workflow) it is often required to fetch different</p>\n\n<p>data objects from multiple locations. When reproducing a workflow published by community,</p>\n\n<p>data objects involved in the workflow often have PIDs. In this project we investigated how to</p>\n\n<p>optimize the fetching and sharing of DOI identified objects with Information centric networking</p>\n\n<p>paradigm such as Named Data Networking (NDN). In order to achieve that goal, first we</p>\n\n<p>presented an approach for integrating PIDs with Named Data Networking (NDN) networks.</p>\n\n<p>NDN identifies digital objects with their names and route them also based on their names.</p>\n\n<p>In addition, we proposed an approach for optimizing the NDN network\u2019s performance using</p>\n\n<p>application level knowledge, such as the size, number, and order of the requested objects. We</p>\n\n<p>investigated the effect of ordering a group of objects in ascending or descending order according</p>\n\n<p>to their sizes before requesting them one by one. The results showed that the order of the</p>\n\n<p>requests can dramatically influence performance of fetching objects from NDN networks.</p>", 
  "author": [
    {
      "family": "Mousa, Rahaf"
    }
  ], 
  "type": "thesis", 
  "id": "889740"
}
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