Contact

Position:
Assistant Professor
Address:
Valencia
Email:
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Phone:
+34963877007x74951

Image & Curriculum Vitae

Image & Curriculum Vitae :

Publications

  1. Vicente Chirivella, Rosa Alcover, Jose Flich and Jose Duato. Dependability analysis of a fault-tolerant network reconfiguring strategy. In Henk Sips; Dick Epema; Hai-Xiang Lin (ed.). Euro-Par 2009 Parallel Processing 5704. August 2009, 1040 - 1051. URL, DOI BibTeX

    @conference{20094612441323,
    	author = "Chirivella, Vicente and Alcover, Rosa and Flich, Jose and Duato, Jose",
    	abstract = "Fault tolerance mechanisms become indispensable as the number of processors increases in large systems. Measuring the effectiveness of such mechanisms before its implementation becomes mandatory. Research toward understanding the effects of different network parameters on the dependability parameters, like mean time to network failure or availability, becomes necessary. In this paper we analyse in detail such effects with a methodology proposed previously by us. This methodology is based on Markov chains and Analysis of Variance techniques. As a case study we analyse the effects of network size, mean time to node failure, mean time to node repair, mean time to network repair and coverage of the failure when using a 2D mesh network with a fault-tolerant mechanism (similar to the one used in the BlueGene/L system), that is able to remove rows and/or columns in the presence of failures. © 2009 Springer.",
    	address = "Delft, Netherlands",
    	booktitle = "Euro-Par 2009 Parallel Processing",
    	doi = "10.1007/978-3-642-03869-3_96",
    	editor = "Henk Sips; Dick Epema; Hai-Xiang Lin",
    	isbn = "978-3-642-03869-3",
    	issn = "0302-9743",
    	journal = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
    	key = "Fault tolerant computer systems",
    	keywords = "Artificial intelligence;Bioinformatics;Fault tolerance;Markov processes;Quality assurance;Regression analysis;",
    	month = "Aug",
    	note = "BlueGene/L systems;Dependability analysis;Fault tolerance mechanisms;Fault-tolerant mechanism;Fault-tolerant networks;Large system;Markov Chain;Mesh network;Network failure;Network parameters;Network size;Node failure;",
    	pages = "1040 - 1051",
    	publisher = "Springer",
    	series = "Lecture Notes in Computer Science",
    	title = "{D}ependability analysis of a fault-tolerant network reconfiguring strategy",
    	url = "http://dx.doi.org/10.1007/978-3-642-03869-3_96",
    	volume = 5704,
    	year = 2009
    }
    
  2. Vicente Chirivella, Rosa Alcover and Jose Duato. Accurate reliability and availability models for direct interconnection networks. In Parallel Processing, International Conference on, 2001.. September 2001, 517 - 24. URL, DOI BibTeX

    @conference{7075325,
    	author = "Chirivella, Vicente and Alcover, Rosa and Duato, Jose",
    	abstract = "Fault tolerance in multicomputer interconnection networks has been traditionally studied by determining the worst possible combination of faulty components that causes its failure and then assuming that this will occur. But, the probability of the worst possible combination is usually low, and the routing algorithm may be able to find a route between source and destination nodes. The network dependability parameters computed according to this approach will be underestimated. In this paper we propose a methodology for accurately evaluating interconnection network dependability. In addition, we apply it to obtain an accurate estimation of the reliability and availability parameters in a 2-D mesh, taking into account network size, routing algorithm, failure and repair rates of nodes, and coverage. Finally we compare the computed results under both approaches",
    	booktitle = "Parallel Processing, International Conference on, 2001.",
    	doi = "10.1109/ICPP.2001.952099",
    	isbn = "0-7695-1257-7",
    	journal = "Proceedings International Conference on Parallel Processing",
    	keywords = "fault tolerant computing;multiprocessor interconnection networks;network routing;",
    	month = "Sep",
    	note = "accurate reliability;availability models;direct interconnection networks;fault tolerance;multicomputer interconnection networks;faulty components;routing algorithm;network dependability parameters;network size;",
    	pages = "517 - 24",
    	title = "{A}ccurate reliability and availability models for direct interconnection networks",
    	url = "http://dx.doi.org/10.1109/ICPP.2001.952099",
    	year = 2001
    }
    
  3. Rosa Alcover, Vicente Chirivella and Jose Duato. Improving the accuracy of reliability models for direct interconnection networks. In Rizos Sakellariou; John Gurd; Len Freeman; John Keane (ed.). Euro-Par 2001 Parallel Processing 2150. August 2001, 621 - 629. URL, DOI BibTeX

    @conference{7211185,
    	author = "Alcover, Rosa and Chirivella, Vicente and Duato, Jose",
    	abstract = "Fault-tolerance in multicomputer interconnection networks has been traditionally studied by determining the worst possible combination of faulty components that causes a network failure and then assuming that this will occur. But the worst possible combination may occur with low probability and the routing algorithm may allow the network to work, even when there is a large number of faults. Thus, the network dependability parameters computed according to this approach will be underestimated. Previously (V. Chirivella and R. Alcover, 2000), we proposed a new methodology based on Markov chains, for evaluating interconnection network dependability. Using this methodology, we can accurately compute the network reliability behavior. We apply it to evaluate dependability parameters in a 2-D mesh, taking into account network size, routing algorithm, failure and repair rates of nodes and coverage. Finally, we compare the computed results to a traditional approach",
    	address = "Berlin, Germany",
    	booktitle = "Euro-Par 2001 Parallel Processing",
    	doi = "10.1007/3-540-44681-8_89",
    	editor = "Rizos Sakellariou; John Gurd; Len Freeman; John Keane",
    	isbn = "978-3-540-42495-6",
    	journal = "Euro-Par 2001 Parallel Processing. 7th International Euro-Par Conference. Proceedings (Lecture Notes in Computer Science Vol.2150)",
    	keywords = "fault tolerant computing;Markov processes;multiprocessor interconnection networks;network routing;",
    	month = "Aug",
    	note = "reliability model accuracy;direct interconnection networks;fault-tolerance;multicomputer interconnection networks;worst possible combination;faulty components;network failure;probability;routing algorithm;network dependability parameters;Markov chains;interconnection network dependability;network reliability behavior;dependability parameters;2D mesh;network size;repair rates;failure rates;",
    	pages = "621 - 629",
    	publisher = "Springer",
    	series = "Lecture Notes in Computer Science",
    	title = "{I}mproving the accuracy of reliability models for direct interconnection networks",
    	url = "http://dx.doi.org/10.1007/3-540-44681-8_89",
    	volume = 2150,
    	year = 2001
    }
    
  4. Rosa Alcover, Vicente Chirivella and Jose Duato. An accurate analysis of reliability parameters in meshes with fault-tolerant adaptive routing. In Parallel Architectures, Algorithms and Networks, 2000. I-SPAN 2000. Proceedings. International Symposium on. December 2000, 88 - 93. URL, DOI BibTeX

    @conference{6832471,
    	author = "Alcover, Rosa and Chirivella, Vicente and Duato, Jose",
    	abstract = "The traditional approach to study fault-tolerance in multicomputer interconnection networks consists of determining the worst possible combination of faulty components that causes a network failure, and then assuming that this will occur. But the worst possible combination does not always occur, and the routing algorithm allows the network to work in the presence of a greater number of failures. The network reliability parameters computed according to the traditional approach will be under-estimated. In this paper we use a new methodology to compute accurately the reliability and availability functions. The reliability parameters have been computed for a network with mesh topology, taking into account size, routing algorithm, failure and repair rates of the network channels and coverage",
    	booktitle = "Parallel Architectures, Algorithms and Networks, 2000. I-SPAN 2000. Proceedings. International Symposium on",
    	doi = "10.1109/ISPAN.2000.900267",
    	isbn = "0-7695-0936-3",
    	journal = "Proceedings International Symposium on Parallel Architectures, Algorithms and Networks. I-SPAN 2000",
    	keywords = "fault tolerant computing;multiprocessor interconnection networks;network routing;",
    	month = "Dec",
    	note = "reliability parameters;meshes;fault-tolerant adaptive routing;multicomputer interconnection networks;faulty components;network failure;routing algorithm;network reliability parameters;mesh topology;network channels;",
    	pages = "88 - 93",
    	title = "{A}n accurate analysis of reliability parameters in meshes with fault-tolerant adaptive routing",
    	url = "http://dx.doi.org/10.1109/ISPAN.2000.900267",
    	year = 2000
    }
    
  5. Pedro Lopez, Rosa Alcover, Jose Duato and L Zunica. Optimizing network throughput: optimal versus robust design. In Parallel and Distributed Processing, 1999. PDP '99. Proceedings of the Seventh Euromicro Workshop on. February 1999, 45 -52. URL, DOI BibTeX

    @conference{746644,
    	author = "Lopez, Pedro and Alcover, Rosa and Duato, Jose and L. Zunica",
    	abstract = "Interconnection network performance is usually measured in terms of its latency (time required to deliver a message) and throughput (maximum traffic accepted by the network). At first glance, minimizing average message latency is the main designer goal, because average network traffic is usually far from saturation. However, applications can also generate very high peak traffic. In order to deal with such situations, it is important that network throughput is also high. On the other hand, interconnection network performance depends on several parameters. Some of them can be chosen by the designer: routing algorithm, switching technique, topology and node design parameters. However, there are other parameters that cannot be selected by the designer. Among these, there are parameters that depend on the application, such as message size, message destination distribution and message traffic, as well as parameters defined by the customer, such as network size. Network designer can select the design parameters that maximize average (optimal design) or the design parameters that achieve a good performance under all the feasible combinations of the parameters that cannot be selected by him (robust design). Notice that both alternatives do not always lead to the same parameter configuration. Previously we chose the design parameters of a k-ary n-cube network considering optimize latency. In this case, optimal and robust design lead to the same choice. In this paper, we obtain these design parameters considering optimized network throughput. Unfortunately, there is a discrepancy between optimal and robust design criteria, being the former the best choice",
    	booktitle = "Parallel and Distributed Processing, 1999. PDP '99. Proceedings of the Seventh Euromicro Workshop on",
    	doi = "10.1109/EMPDP.1999.746644",
    	isbn = "0-7695-0059-5",
    	issn = "1066-6192",
    	keywords = "average message latency;average network traffic;interconnection network performance;latency;message destination distribution;network throughput optimisation;node design parameters;optimal design;parameter configuration;robust design;routing algorithm;swit",
    	month = "feb",
    	pages = "45 -52",
    	title = "{O}ptimizing network throughput: optimal versus robust design",
    	url = "http://dx.doi.org/10.1109/EMPDP.1999.746644",
    	year = 1999
    }
    
  6. Pedro Lopez, Rosa Alcover, Jose Duato and L Zunica. Optimizing network throughput: optimal versus robust design. 1999, 45 - 52. URL BibTeX

    @conference{6169182,
    	author = "Lopez, Pedro and Alcover, Rosa and Duato, Jose and L. Zunica",
    	abstract = "Interconnection network performance is usually measured in terms of its latency (time required to deliver a message) and throughput (maximum traffic accepted by the network). At first glance, minimizing average message latency is the main designer goal, because average network traffic is usually far from saturation. However, applications can also generate very high peak traffic. In order to deal with such situations, it is important that network throughput is also high. On the other hand, interconnection network performance depends on several parameters. Some of them can be chosen by the designer: routing algorithm, switching technique, topology and node design parameters. However, there are other parameters that cannot be selected by the designer. Among these, there are parameters that depend on the application, such as message size, message destination distribution and message traffic, as well as parameters defined by the customer, such as network size. Network designer can select the design parameters that maximize average (optimal design) or the design parameters that achieve a good performance under all the feasible combinations of the parameters that cannot be selected by him (robust design). Notice that both alternatives do not always lead to the same parameter configuration. Previously we chose the design parameters of a k-ary n-cube network considering optimize latency. In this case, optimal and robust design lead to the same choice. In this paper, we obtain these design parameters considering optimized network throughput. Unfortunately, there is a discrepancy between optimal and robust design criteria, being the former the best choice",
    	address = "Los Alamitos, CA, USA",
    	journal = "Proceedings of the Seventh Euromicro Workshop on Parallel and Distributed Processing. PDP'99",
    	keywords = "multiprocessor interconnection networks;performance evaluation;telecommunication network routing;",
    	note = "network throughput optimisation;robust design;optimal design;interconnection network performance;latency;average message latency;average network traffic;routing algorithm;switching technique;node design parameters;message destination distribution;parameter configuration;",
    	pages = "45 - 52",
    	title = "{O}ptimizing network throughput: optimal versus robust design",
    	url = "http://dx.doi.org/10.1109/EMPDP.1999.746644",
    	year = 1999
    }
    
  7. Pedro Lopez, Rosa Alcover, Jose Duato and L Zunica. Cost-effective methodology for the evaluation of interconnection networks. Journal of Systems Architecture 44(9-10):815 - 830, 1998. URL BibTeX

    @article{1998384306573,
    	author = "Lopez, Pedro and Alcover, Rosa and Duato, Jose and L. Zunica",
    	abstract = "Interconnection network performance depends on several parameters, including network design parameters, network size, message traffic and message length. Simulation is the methodology usually followed in evaluation studies, because the model can more faithfully represent hardware implementation, taking into account more details. Nevertheless, the number of parameter combinations is often very high, and simulations also take long to complete. Therefore, evaluation studies must choose a subset of the parameters and restrict the variability of each of them. In this paper, we propose a methodology for evaluating interconnection networks. It is based on experimental design used in statistical studies. Using this methodology, we can study network behavior considering many parameters, running only a subset of the simulations required to study all the combinations. In addition, the methodology permits to quantify the effect of interactions among the parameters. We apply this methodology to adjust node design parameters such as number of virtual channels, input buffer size, and output buffer size for a 8-ary 3-cube with adaptive (both partially and fully) wormhole routing. We show that running only one third of the simulations required to study all the combinations, the most significant effects can be estimated without a noticeable loss in precision.",
    	address = "Amsterdam, Netherlands",
    	issn = 13837621,
    	journal = "Journal of Systems Architecture",
    	key = "Interconnection networks",
    	keywords = "Buffer storage;Communication channels (information theory);Computer simulation;Cost effectiveness;Data communication systems;Statistical methods;Telecommunication traffic;",
    	note = "Adaptive routing;Virtual channels;Wormhole routing;",
    	number = "9-10",
    	pages = "815 - 830",
    	title = "{C}ost-effective methodology for the evaluation of interconnection networks",
    	url = "http://dx.doi.org/10.1016/S1383-7621(97)00019-2",
    	volume = 44,
    	year = 1998
    }
    
  8. Rosa Alcover, Pedro Lopez, Jose Duato and L Zunica. A methodology for optimal interconnection network design. 1997, 81 - 4. BibTeX

    @conference{5863027,
    	author = "Alcover, Rosa and Lopez, Pedro and Duato, Jose and L. Zunica",
    	abstract = "Interconnection network performance depends on several parameters. Some of them can be chosen by the designer: routing algorithm, switching technique, topology and node design parameters. However, there are other parameters that cannot be selected by the designer. Among these, there are parameters that depend on the application, such as message size, message destination distribution and message traffic, as well as parameters defined by the customer, such as network size. The optimization criteria that the network designer should follow is not only maximizing performance, but also selecting the design parameters that achieve a good performance under all the feasible combinations of the parameters that cannot be selected by the designer. We propose a methodology for optimal network design based on robust experimental design techniques used in statistics. As an application, we choose the most important design parameters of a k-ary n-cube network based on that methodology",
    	address = "Raleigh, NC, USA",
    	journal = "Proceedings of the ISCA 10th International Conference on Parallel and Distributed Computing Systems",
    	keywords = "design of experiments;message passing;multiprocessor interconnection networks;optimisation;parallel architectures;performance evaluation;",
    	note = "optimal interconnection network design;interconnection network performance;routing algorithm;switching technique;topology;node design parameters;message size;message destination distribution;message traffic;network size;optimization criteria;experimental design techniques;statistics;k-ary n-cube network;",
    	pages = "81 - 4",
    	title = "{A} methodology for optimal interconnection network design",
    	year = 1997
    }
    
  9. Rosa Alcover, Pedro Lopez, Jose Duato and L Zunica. Interconnection network design: a statistical analysis of interactions between factors. In Parallel and Distributed Processing, 1996. PDP '96. Proceedings of the Fourth Euromicro Workshop on. January 1996, 211 -218. URL, DOI BibTeX

    @conference{500589,
    	author = "Alcover, Rosa and Lopez, Pedro and Duato, Jose and L. Zunica",
    	abstract = "Interconnection network performance depends on several parameters, including network design parameters, network size, message traffic and message length. Simulation is the methodology usually followed in evaluation studies, because the model can more faithfully represent hardware implementation, taking into account more details. Nevertheless, the number of parameter combinations is often high, and simulations also take long to complete. Therefore, evaluation studies must choose a subset of the parameters and restrict the variability of each of them. In a previous paper (IEEE Computer Soc. TCCA Newsletter, pp. 32-37, Aug. 1995), we have proposed a methodology for evaluating interconnection networks. It is based on experimental design used in statistical studies. Using this methodology, we can study network behavior considering many parameters, running only a subset of the simulations required to study all the combination. In addition, the methodology permits us to quantify the effect of interactions among the parameters. In this paper, we make use of the second advantage of this methodology, analysing the effect of node design parameters and their interactions for an 8-ary 3-cube with adaptive wormhole routing",
    	booktitle = "Parallel and Distributed Processing, 1996. PDP '96. Proceedings of the Fourth Euromicro Workshop on",
    	doi = "10.1109/EMPDP.1996.500589",
    	keywords = "8-ary 3-cube;adaptive wormhole routing;evaluation studies;interconnection network design;interconnection network performance;message length;message traffic;network behavior;network design parameters;network size;node design parameters;parameter combinatio",
    	month = "jan",
    	pages = "211 -218",
    	title = "{I}nterconnection network design: a statistical analysis of interactions between factors",
    	url = "http://dx.doi.org/10.1109/EMPDP.1996.500589",
    	year = 1996
    }
    
  10. Rosa Alcover, Pedro Lopez, Jose Duato and L Zunica. Interconnection network design: a statistical analysis of interactions between factors. 1996, 211 - 18. URL BibTeX

    @conference{5242395,
    	author = "Alcover, Rosa and Lopez, Pedro and Duato, Jose and L. Zunica",
    	abstract = "Interconnection network performance depends on several parameters, including network design parameters, network size, message traffic and message length. Simulation is the methodology usually followed in evaluation studies, because the model can more faithfully represent hardware implementation, taking into account more details. Nevertheless, the number of parameter combinations is often high, and simulations also take long to complete. Therefore, evaluation studies must choose a subset of the parameters and restrict the variability of each of them. In a previous paper (IEEE Computer Soc. TCCA Newsletter, pp. 32-37, Aug. 1995), we have proposed a methodology for evaluating interconnection networks. It is based on experimental design used in statistical studies. Using this methodology, we can study network behavior considering many parameters, running only a subset of the simulations required to study all the combination. In addition, the methodology permits us to quantify the effect of interactions among the parameters. In this paper, we make use of the second advantage of this methodology, analysing the effect of node design parameters and their interactions for an 8-ary 3-cube with adaptive wormhole routing",
    	address = "Los Alamitos, CA, USA",
    	journal = "Proceedings of the Fourth Euromicro Workshop on Parallel and Distributed Processing - PDP '96",
    	keywords = "design of experiments;multiprocessor interconnection networks;network routing;network synthesis;network topology;performance evaluation;statistical analysis;",
    	note = "interconnection network design;statistical analysis;interconnection network performance;network design parameters;network size;message traffic;message length;simulations;parameter combinations;evaluation studies;parameter variability;network behavior;parameter interactions;node design parameters;8-ary 3-cube;adaptive wormhole routing;",
    	pages = "211 - 18",
    	title = "{I}nterconnection network design: a statistical analysis of interactions between factors",
    	url = "http://dx.doi.org/10.1109/EMPDP.1996.500589",
    	year = 1996
    }