Spark versus flink: Understanding performance in big data analytics frameworks OC Marcu, A Costan, G Antoniu, MS Pérez-Hernández 2016 IEEE International Conference on Cluster Computing (CLUSTER), 433-442, 2016 | 157 | 2016 |
A performance evaluation of Apache Kafka in support of big data streaming applications P Le Noac'h, A Costan, L Bougé 2017 IEEE International Conference on Big Data (Big Data), 4803-4806, 2017 | 140 | 2017 |
A policy iteration algorithm for computing fixed points in static analysis of programs A Costan, S Gaubert, E Goubault, M Martel, S Putot Computer Aided Verification: 17th International Conference, CAV 2005 …, 2005 | 130 | 2005 |
MonALISA: An agent based, dynamic service system to monitor, control and optimize distributed systems I Legrand, H Newman, R Voicu, C Cirstoiu, C Grigoras, C Dobre, ... Computer Physics Communications 180 (12), 2472-2498, 2009 | 113 | 2009 |
Distributed intelligence on the Edge-to-Cloud Continuum: A systematic literature review D Rosendo, A Costan, P Valduriez, G Antoniu Journal of Parallel and Distributed Computing 166, 71-94, 2022 | 95 | 2022 |
A performance evaluation of azure and nimbus clouds for scientific applications R Tudoran, A Costan, G Antoniu, L Bougé Proceedings of the 2nd International Workshop on Cloud Computing Platforms, 1-6, 2012 | 83 | 2012 |
Managing data access on clouds: A generic framework for enforcing security policies C Băsescu, A Carpen-Amarie, C Leordeanu, A Costan, G Antoniu 2011 IEEE International Conference on Advanced Information Networking and …, 2011 | 66 | 2011 |
A distributed multi-sensor machine learning approach to earthquake early warning K Fauvel, D Balouek-Thomert, D Melgar, P Silva, A Simonet, G Antoniu, ... Proceedings of the AAAI conference on artificial intelligence 34 (01), 403-411, 2020 | 59 | 2020 |
Overflow: Multi-site aware big data management for scientific workflows on clouds R Tudoran, A Costan, G Antoniu IEEE transactions on cloud computing 4 (1), 76-89, 2015 | 52 | 2015 |
Fault tolerance and recovery in grid workflow management systems E Sindrilaru, A Costan, V Cristea 2010 international conference on complex, intelligent and software intensive …, 2010 | 51 | 2010 |
E2clab: Exploring the computing continuum through repeatable, replicable and reproducible edge-to-cloud experiments D Rosendo, P Silva, M Simonin, A Costan, G Antoniu 2020 IEEE International Conference on Cluster Computing (CLUSTER), 176-186, 2020 | 43 | 2020 |
Jetstream: Enabling high performance event streaming across cloud data-centers R Tudoran, O Nano, I Santos, A Costan, H Soncu, L Bougé, G Antoniu Proceedings of the 8th ACM International Conference on Distributed Event …, 2014 | 40 | 2014 |
Bridging data in the clouds: An environment-aware system for geographically distributed data transfers R Tudoran, A Costan, R Wang, L Bougé, G Antoniu 2014 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2014 | 39 | 2014 |
Efficient scheduling of scientific workflows using hot metadata in a multisite cloud J Liu, L Pineda, E Pacitti, A Costan, P Valduriez, G Antoniu, M Mattoso IEEE Transactions on Knowledge and Data Engineering 31 (10), 1940-1953, 2018 | 36 | 2018 |
Kera: Scalable data ingestion for stream processing OC Marcu, A Costan, G Antoniu, M Pérez-Hernández, B Nicolae, ... 2018 IEEE 38th International Conference on Distributed Computing Systems …, 2018 | 32 | 2018 |
Mapiterativereduce: a framework for reduction-intensive data processing on azure clouds R Tudoran, A Costan, G Antoniu Proceedings of third international workshop on MapReduce and its …, 2012 | 31 | 2012 |
Monitoring and control of large systems with MonALISA I Legrand, R Voicu, C Cirstoiu, C Grigoras, L Betev, A Costan Communications of the ACM 52 (9), 49-55, 2009 | 31 | 2009 |
Monitoring, accounting and automated decision support for the alice experiment based on the MonALISA framework CC Cirstoiu, CC Grigoras, LL Betev, AA Costan, IC Legrand Proceedings of the 2007 workshop on Grid monitoring, 39-44, 2007 | 31 | 2007 |
Jetstream: Enabling high throughput live event streaming on multi-site clouds R Tudoran, A Costan, O Nano, I Santos, H Soncu, G Antoniu Future Generation Computer Systems 54, 274-291, 2016 | 29 | 2016 |
Dynamic meta-scheduling architecture based on monitoring in distributed systems F Pop, C Dobre, C Stratan, A Costan, V Cristea International Journal of Autonomic Computing 1 (4), 328-349, 2010 | 24 | 2010 |