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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. | ||
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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], | ||
| + | : [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], | ||
| + | : [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], | ||
| + | : [https://core.ac.uk/display/54248385 https://core.ac.uk/display/54248385], | ||
| + | : [https://www.scipedia.com/public/Esposito_et_al_2012a https://www.scipedia.com/public/Esposito_et_al_2012a], | ||
| + | : [https://dblp.uni-trier.de/db/conf/icdcn/icdcn2012.html#EspositoRBPB12 https://dblp.uni-trier.de/db/conf/icdcn/icdcn2012.html#EspositoRBPB12], | ||
| + | : [https://dl.acm.org/citation.cfm?id=2183697 https://dl.acm.org/citation.cfm?id=2183697], | ||
| + | : [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], | ||
| + | : [https://doi.org/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 http://midlab.diag.uniroma1.it/articoli/paper_ICDCN.pdf], | ||
| + | : [https://academic.microsoft.com/#/detail/2117616286 https://academic.microsoft.com/#/detail/2117616286] | ||
Latest revision as of 15:58, 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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Document information
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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