m (Scipediacontent moved page Draft Content 974366063 to Esposito et al 2012a)
 
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The design of large-scale critical infrastructures demands for innovative data dissemination services, able to jointly provide reliability and timeliness guarantees. Current middleware solutions do not address both these aspects. Indeed, fault tolerance is typically achieved at the cost of severe performance fluctuations, or timeliness is always obtained by softening the fault-tolerance requirements. In this paper we propose to fulfill this lack by combining two different approaches, namely coding and gossiping. We provide a theoretical model to evaluate the potential benefit of coding on the information delivery performance. These results are also confirmed by an experimental analysis conducted on a real air traffic control workload, which evidences how coding mitigates latency and overhead penalties to ensure reliable event notification.
 
The design of large-scale critical infrastructures demands for innovative data dissemination services, able to jointly provide reliability and timeliness guarantees. Current middleware solutions do not address both these aspects. Indeed, fault tolerance is typically achieved at the cost of severe performance fluctuations, or timeliness is always obtained by softening the fault-tolerance requirements. In this paper we propose to fulfill this lack by combining two different approaches, namely coding and gossiping. We provide a theoretical model to evaluate the potential benefit of coding on the information delivery performance. These results are also confirmed by an experimental analysis conducted on a real air traffic control workload, which evidences how coding mitigates latency and overhead penalties to ensure reliable event notification.
 
Document type: Part of book or chapter of book
 
 
== Full document ==
 
<pdf>Media:Draft_Content_974366063-beopen926-4612-document.pdf</pdf>
 
  
  
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* [http://www.cnds.jhu.edu/%7Eplatania/index_files/icdcn12.pdf http://www.cnds.jhu.edu/%7Eplatania/index_files/icdcn12.pdf]
 
* [http://www.cnds.jhu.edu/%7Eplatania/index_files/icdcn12.pdf http://www.cnds.jhu.edu/%7Eplatania/index_files/icdcn12.pdf]
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* [http://link.springer.com/content/pdf/10.1007/978-3-642-25959-3_20 http://link.springer.com/content/pdf/10.1007/978-3-642-25959-3_20],
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: [http://dx.doi.org/10.1007/978-3-642-25959-3_20 http://dx.doi.org/10.1007/978-3-642-25959-3_20] under the license http://www.springer.com/tdm
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* [http://www.cnds.jhu.edu/~platania/index_files/icdcn12.pdf http://www.cnds.jhu.edu/~platania/index_files/icdcn12.pdf],
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: [https://link.springer.com/chapter/10.1007%2F978-3-642-25959-3_20 https://link.springer.com/chapter/10.1007%2F978-3-642-25959-3_20],
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: [https://core.ac.uk/display/54248385 https://core.ac.uk/display/54248385],
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: [https://www.scipedia.com/public/Esposito_et_al_2012a https://www.scipedia.com/public/Esposito_et_al_2012a],
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: [https://dblp.uni-trier.de/db/conf/icdcn/icdcn2012.html#EspositoRBPB12 https://dblp.uni-trier.de/db/conf/icdcn/icdcn2012.html#EspositoRBPB12],
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: [https://dl.acm.org/citation.cfm?id=2183697 https://dl.acm.org/citation.cfm?id=2183697],
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: [https://rd.springer.com/chapter/10.1007/978-3-642-25959-3_20 https://rd.springer.com/chapter/10.1007/978-3-642-25959-3_20],
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: [https://doi.org/10.1007/978-3-642-25959-3_20 https://doi.org/10.1007/978-3-642-25959-3_20],
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: [http://midlab.diag.uniroma1.it/articoli/paper_ICDCN.pdf http://midlab.diag.uniroma1.it/articoli/paper_ICDCN.pdf],
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: [https://academic.microsoft.com/#/detail/2117616286 https://academic.microsoft.com/#/detail/2117616286]

Latest revision as of 16:58, 21 January 2021

Abstract

The design of large-scale critical infrastructures demands for innovative data dissemination services, able to jointly provide reliability and timeliness guarantees. Current middleware solutions do not address both these aspects. Indeed, fault tolerance is typically achieved at the cost of severe performance fluctuations, or timeliness is always obtained by softening the fault-tolerance requirements. In this paper we propose to fulfill this lack by combining two different approaches, namely coding and gossiping. We provide a theoretical model to evaluate the potential benefit of coding on the information delivery performance. These results are also confirmed by an experimental analysis conducted on a real air traffic control workload, which evidences how coding mitigates latency and overhead penalties to ensure reliable event notification.


Original document

The different versions of the original document can be found in:

http://dx.doi.org/10.1007/978-3-642-25959-3_20 under the license http://www.springer.com/tdm
https://link.springer.com/chapter/10.1007%2F978-3-642-25959-3_20,
https://core.ac.uk/display/54248385,
https://www.scipedia.com/public/Esposito_et_al_2012a,
https://dblp.uni-trier.de/db/conf/icdcn/icdcn2012.html#EspositoRBPB12,
https://dl.acm.org/citation.cfm?id=2183697,
https://rd.springer.com/chapter/10.1007/978-3-642-25959-3_20,
https://doi.org/10.1007/978-3-642-25959-3_20,
http://midlab.diag.uniroma1.it/articoli/paper_ICDCN.pdf,
https://academic.microsoft.com/#/detail/2117616286
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Published on 01/01/2012

Volume 2012, 2012
DOI: 10.1007/978-3-642-25959-3_20
Licence: CC BY-NC-SA license

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