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Vincenzo Gulisano
Vincenzo Massimiliano Gulisano
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2020 – today
- 2024
- [c61]Bastian Havers
, Marina Papatriantafilou
Research Summary: Enhancing Localization, Selection, and Processing of Data in Vehicular Cyber-Physical Systems. ApPLIED@PODC 2024: 1-5 - [c60]Vincenzo Gulisano
Aggregates are all you need (to bridge stream processing and Complex Event Recognition). DEBS 2024: 66-77 - [c59]Vincenzo Gulisano
Evolutionary Computation Meets Stream Processing. EvoApplications@EvoStar 2024: 377-393 - [c58]Bastian Havers, Marina Papatriantafilou, Vincenzo Gulisano:
Nona: A Framework for Elastic Stream Provenance. ICDCS 2024: 703-714 - [c57]Vincenzo Gulisano
On the Semantic Overlap of Operators in Stream Processing Engines. Middleware 2024: 8-21 - 2023
- [j14]Amir Keramatian
PARMA-CC: A family of parallel multiphase approximate cluster combining algorithms. J. Parallel Distributed Comput. 177: 68-88 (2023) - [c56]Fausto Frasca
Accelerating Stream Processing Queries with Congestion-aware Scheduling and Real-time Linux Threads. CF 2023: 144-153 - [c55]Martin Hilgendorf
FORTE: an extensible framework for robustness and efficiency in data transfer pipelines. DEBS 2023: 139-150 - [c54]Vincenzo Gulisano
An Algorithm for Tunable Memory Compression of Time-Based Windows for Stream Aggregates. Euro-Par Workshops (1) 2023: 18-29 - [c53]Romaric Duvignau
Cost-Optimization for Win-Win P2P Energy Systems. ISGT 2023: 1-5 - [i8]Vincenzo Gulisano, Alessandro Margara, Marina Papatriantafilou:
On the Semantic Overlap of Operators in Stream Processing Engines. CoRR abs/2303.00793 (2023) - 2022
- [j13]Dimitris Palyvos-Giannas, Katerina Tzompanaki, Marina Papatriantafilou, Vincenzo Gulisano:
Erebus: Explaining the Outputs of Data Streaming Queries. Proc. VLDB Endow. 16(2): 230-242 (2022) - [j12]Vincenzo Gulisano
STRETCH: Virtual Shared-Nothing Parallelism for Scalable and Elastic Stream Processing. IEEE Trans. Parallel Distributed Syst. 33(10): 4221-4238 (2022) - [c52]Amir Keramatian
$\mathtt {IP.LSH.DBSCAN}$: Integrated Parallel Density-Based Clustering Through Locality-Sensitive Hashing. Euro-Par 2022: 268-284 - [c51]Bastian Havers
Proposing a framework for evaluating learning strategies in vehicular CPSs. Middleware Industry 2022: 22-28 - [c50]Vincenzo Gulisano, Marina Papatriantafilou, Zhuoer Chen, Eduard Hryha, Lars Nyborg:
Towards data-driven additive manufacturing processes. Middleware Industry 2022: 43-49 - [c49]Dimitrios Palyvos-Giannas, Marina Papatriantafilou, Vincenzo Gulisano:
Research Summary: Deterministic, Explainable and Efficient Stream Processing. ApPLIED@PODC 2022: 65-69 - [c48]Romaric Duvignau
Efficient and scalable geographical peer matching for P2P energy sharing communities. SAC 2022: 187-190 - [c47]Hannaneh Najdataei, Vincenzo Gulisano, Philippas Tsigas, Marina Papatriantafilou:
pi-Lisco: parallel and incremental stream-based point-cloud clustering. SAC 2022: 460-469 - [e2]Yongluan Zhou, Panos K. Chrysanthis, Vincenzo Gulisano, Eleni Tzirita Zacharatou
16th ACM International Conference on Distributed and Event-based Systems, DEBS 2022, Copenhagen, Denmark, June 27 - 30, 2022. ACM 2022, ISBN 978-1-4503-9308-9 [contents] - 2021
- [j11]Romaric Duvignau
Time- and Computation-Efficient Data Localization at Vehicular Networks' Edge. IEEE Access 9: 137714-137732 (2021) - [j10]Amir Keramatian
MAD-C: Multi-stage Approximate Distributed Cluster-combining for obstacle detection and localization. J. Parallel Distributed Comput. 147: 248-267 (2021) - [j9]Vincenzo Gulisano
ScaleJoin: A Deterministic, Disjoint-Parallel and Skew-Resilient Stream Join. IEEE Trans. Big Data 7(2): 299-312 (2021) - [c46]Mikael Gordani Shahri, Andréas Erlandsson, Dimitris Palyvos-Giannas, Vincenzo Gulisano:
Poster: Twins, a Middleware for Adaptive Streaming Provenance at the Edge. ICDCN 2021: 235-236 - [c45]Dimitris Palyvos-Giannas, Gabriele Mencagli, Marina Papatriantafilou, Vincenzo Gulisano:
Lachesis: a middleware for customizing OS scheduling of stream processing queries. Middleware 2021: 365-378 - [c44]Vincenzo Gulisano:
Motivations and Challenges for Stream Processing in Edge Computing. ICPE (Companion) 2021: 17-18 - [i7]Vincenzo Gulisano, Hannaneh Najdataei, Yiannis Nikolakopoulos, Alessandro V. Papadopoulos, Marina Papatriantafilou, Philippas Tsigas:
STRETCH: Virtual Shared-Nothing Parallelism for Scalable and Elastic Stream Processing. CoRR abs/2111.13058 (2021) - [i6]Romaric Duvignau, Vincenzo Gulisano, Marina Papatriantafilou:
Geographical Peer Matching for P2P Energy Sharing. CoRR abs/2112.11286 (2021) - 2020
- [j8]Bastian Havers
DRIVEN: A framework for efficient Data Retrieval and clustering in Vehicular Networks. Future Gener. Comput. Syst. 107: 1-17 (2020) - [j7]Valentin Tudor
BES: Differentially private event aggregation for large-scale IoT-based systems. Future Gener. Comput. Syst. 108: 1241-1257 (2020) - [j6]Dimitris Palyvos-Giannas, Bastian Havers, Marina Papatriantafilou, Vincenzo Gulisano:
Ananke: A Streaming Framework for Live Forward Provenance. Proc. VLDB Endow. 14(3): 391-403 (2020) - [c43]Joris van Rooij, Vincenzo Gulisano, Marina Papatriantafilou:
TinTiN: Travelling in time (if necessary) to deal with out-of-order data in streaming aggregation. DEBS 2020: 141-152 - [c42]Vincenzo Gulisano, Daniel Jorde, Ruben Mayer, Hannaneh Najdataei, Dimitris Palyvos-Giannas:
The DEBS 2020 grand challenge. DEBS 2020: 183-186 - [c41]Vincenzo Gulisano, Dimitris Palyvos-Giannas, Bastian Havers
The role of event-time order in data streaming analysis. DEBS 2020: 214-217 - [c40]Romaric Duvignau
Small-Scale Communities Are Sufficient for Cost- and Data-Efficient Peer-to-Peer Energy Sharing. e-Energy 2020: 35-46 - [c39]Amir Keramatian, Vincenzo Gulisano, Marina Papatriantafilou, Philippas Tsigas
PARMA-CC: Parallel Multiphase Approximate Cluster Combining. ICDCN 2020: 20:1-20:10
2010 – 2019
- 2019
- [j5]Dimitris Palyvos-Giannas, Vincenzo Gulisano
GeneaLog: Fine-grained data streaming provenance in cyber-physical systems. Parallel Comput. 89 (2019) - [c38]Hannaneh Najdataei, Yiannis Nikolakopoulos, Marina Papatriantafilou, Philippas Tsigas
STRETCH: Scalable and Elastic Deterministic Streaming Analysis with Virtual Shared-Nothing Parallelism. DEBS 2019: 7-18 - [c37]Dimitris Palyvos-Giannas, Vincenzo Gulisano
Haren: A Framework for Ad-Hoc Thread Scheduling Policies for Data Streaming Applications. DEBS 2019: 19-30 - [c36]Oleh Bodunov, Vincenzo Gulisano
The DEBS 2019 Grand Challenge. DEBS 2019: 205-208 - [c35]Victor Gustafsson, Hampus Nilsson, Karl Bäckström, Marina Papatriantafilou, Vincenzo Gulisano
Mimir - Streaming Operators Classification with Artificial Neural Networks. DEBS 2019: 258-259 - [c34]Hannaneh Najdataei, Mukund Subramaniyan
Adaptive Stream-based Shifting Bottleneck Detection in IoT-based Computing Architectures. ETFA 2019: 993-1000 - [c33]Bastian Havers
DRIVEN: a Framework for Efficient Data Retrieval and Clustering in Vehicular Networks. ICDE 2019: 1850-1861 - [c32]Prajith Ramakrishnan Geethakumari, Vincenzo Gulisano
Time-SWAD: A Dataflow Engine for Time-Based Single Window Stream Aggregation. FPT 2019: 72-80 - [c31]Hannaneh Najdataei, Mukund Subramaniyan
Stream-IT: Continuous and dynamic processing of production systems data - throughput bottlenecks as a case-study. ISIE 2019: 1328-1333 - [c30]Romaric Duvignau
Querying Large Vehicular Networks: How to Balance On-Board Workload and Queries Response Timeƒ. ITSC 2019: 2604-2611 - [c29]Luca Bortolussi
Automatic Translation of Spatio-Temporal Logics to Streaming-Based Monitoring Applications for IoT-Equipped Autonomous Agents. M4IoT@Middleware 2019: 7-12 - [c28]Dimitris Palyvos-Giannas, Vincenzo Gulisano
Haren: A Middleware for Ad-Hoc Thread Scheduling Policies in Data Streaming. Middleware Demos/Posters 2019: 19-20 - [c27]Romaric Duvignau
Streaming piecewise linear approximation for efficient data management in edge computing. SAC 2019: 593-596 - [r1]Vincenzo Gulisano, Marina Papatriantafilou, Alessandro Vittorio Papadopoulos
Elasticity. Encyclopedia of Big Data Technologies 2019 - 2018
- [j4]Ivan Walulya, Dimitris Palyvos-Giannas, Yiannis Nikolakopoulos
Viper: A module for communication-layer determinism and scaling in low-latency stream processing. Future Gener. Comput. Syst. 88: 297-308 (2018) - [c26]Joris van Rooij, Vincenzo Gulisano
LoCoVolt: Distributed Detection of Broken Meters in Smart Grids through Stream Processing. DEBS 2018: 171-182 - [c25]Vincenzo Gulisano
The DEBS 2018 Grand Challenge. DEBS 2018: 191-194 - [c24]Mohammad Ashjaei
Service Level Agreements for Safe and Configurable Production Environments. ETFA 2018: 1252-1255 - [c23]Amir Keramatian
MAD-C: Multi-stage Approximate Distributed Cluster-Combining for Obstacle Detection and Localization. Euro-Par Workshops 2018: 312-324 - [c22]Hannaneh Najdataei, Yiannis Nikolakopoulos, Vincenzo Gulisano
Continuous and Parallel LiDAR Point-Cloud Clustering. ICDCS 2018: 671-684 - [c21]Dimitris Palyvos-Giannas, Vincenzo Gulisano
GeneaLog: Fine-Grained Data Streaming Provenance at the Edge. Middleware 2018: 227-238 - [i5]Romaric Duvignau, Vincenzo Gulisano, Marina Papatriantafilou, Vladimir Savic:
Piecewise Linear Approximation in Data Streaming: Algorithmic Implementations and Experimental Analysis. CoRR abs/1808.08877 (2018) - 2017
- [j3]Vincenzo Gulisano
Efficient Data Streaming Multiway Aggregation through Concurrent Algorithmic Designs and New Abstract Data Types. ACM Trans. Parallel Comput. 4(2): 11:1-11:28 (2017) - [c20]Nikos Zacheilas, Vana Kalogeraki
Maximizing Determinism in Stream Processing Under Latency Constraints. DEBS 2017: 112-123 - [c19]Vincenzo Gulisano
Performance Modeling of Stream Joins. DEBS 2017: 191-202 - [c18]Vincenzo Gulisano
The DEBS 2017 Grand Challenge. DEBS 2017: 271-273 - [c17]Ivan Walulya, Yiannis Nikolakopoulos, Vincenzo Gulisano
Viper: Communication-Layer Determinism and Scaling in Low-Latency Stream Processing. Euro-Par Workshops 2017: 129-140 - [c16]Prajith Ramakrishnan Geethakumari, Vincenzo Gulisano
Single window stream aggregation using reconfigurable hardware. FPT 2017: 112-119 - [i4]Hannaneh Najdataei, Yiannis Nikolakopoulos, Vincenzo Gulisano, Marina Papatriantafilou:
Lisco: A Continuous Approach in LiDAR Point-cloud Clustering. CoRR abs/1711.01853 (2017) - 2016
- [c15]Viktor Botev, Magnus Almgren
Detecting non-technical energy losses through structural periodic patterns in AMI data. IEEE BigData 2016: 3121-3130 - [c14]Vincenzo Gulisano
BES: Differentially Private and Distributed Event Aggregation in Advanced Metering Infrastructures. CPSS@AsiaCCS 2016: 59-69 - [c13]Vincenzo Gulisano
The DEBS 2016 grand challenge. DEBS 2016: 289-292 - [c12]Yiannis Nikolakopoulos, Marina Papatriantafilou
Highly Concurrent Stream Synchronization in Many-core Embedded Systems. MES@ISCA 2016: 2-9 - [c11]Stefania Costache, Vincenzo Gulisano
Understanding the data-processing challenges in Intelligent Vehicular Systems. Intelligent Vehicles Symposium 2016: 611-618 - [i3]Vincenzo Gulisano, Yiannis Nikolakopoulos, Daniel Cederman, Marina Papatriantafilou, Philippas Tsigas:
Efficient data streaming multiway aggregation through concurrent algorithmic designs and new abstract data types. CoRR abs/1606.04746 (2016) - 2015
- [j2]Vincenzo Gulisano
STONE: A streaming DDoS defense framework. Expert Syst. Appl. 42(24): 9620-9633 (2015) - [c10]Vincenzo Gulisano
Scalejoin: A deterministic, disjoint-parallel and skew-resilient stream join. IEEE BigData 2015: 144-153 - [c9]Vincenzo Gulisano
Data-Streaming and Concurrent Data-Object Co-design: Overview and Algorithmic Challenges. Algorithms, Probability, Networks, and Games 2015: 242-260 - [c8]Vincenzo Gulisano
Deterministic real-time analytics of geospatial data streams through ScaleGate objects. DEBS 2015: 316-317 - [e1]Magnus Almgren, Vincenzo Gulisano, Federico Maggi
Detection of Intrusions and Malware, and Vulnerability Assessment - 12th International Conference, DIMVA 2015, Milan, Italy, July 9-10, 2015, Proceedings. Lecture Notes in Computer Science 9148, Springer 2015, ISBN 978-3-319-20549-6 [contents] - 2014
- [c7]Vincenzo Gulisano
METIS: a two-tier intrusion detection system for advanced metering infrastructures. e-Energy 2014: 211-212 - [c6]William Johansson, Martin Svensson, Ulf E. Larson, Magnus Almgren
T-Fuzz: Model-Based Fuzzing for Robustness Testing of Telecommunication Protocols. ICST 2014: 323-332 - [c5]Vincenzo Gulisano
METIS: A Two-Tier Intrusion Detection System for Advanced Metering Infrastructures. SecureComm (2) 2014: 51-68 - [c4]Daniel Cederman, Vincenzo Gulisano
Brief announcement: concurrent data structures for efficient streaming aggregation. SPAA 2014: 76-78 - [i2]Vincenzo Gulisano, Magnus Almgren, Marina Papatriantafilou:
When Smart Cities meet Big Data. ERCIM News 2014(98) (2014) - 2013
- [c3]Valerio Vianello, Vincenzo Gulisano
A Scalable SIEM Correlation Engine and Its Application to the Olympic Games IT Infrastructure. ARES 2013: 625-629 - [c2]Mar Callau-Zori, Ricardo Jiménez-Peris, Vincenzo Gulisano
STONE: a stream-based DDoS defense framework. SAC 2013: 807-812 - 2012
- [b1]Vincenzo Gulisano:
StreamCloud: An Elastic Parallel-Distributed Stream Processing Engine. (StreamCloud: un moteur de traitement de streams parallèle et distribué). Technical University of Madrid, Spain, 2012 - [j1]Vincenzo Gulisano
StreamCloud: An Elastic and Scalable Data Streaming System. IEEE Trans. Parallel Distributed Syst. 23(12): 2351-2365 (2012) - [i1]Vincenzo Gulisano, Ricardo Jiménez-Peris, Marta Patiño-Martínez, Claudio Soriente, Patrick Valduriez:
A Big Data Platform for Large Scale Event Processing. ERCIM News 2012(89) (2012) - 2010
- [c1]Vincenzo Gulisano
StreamCloud: A Large Scale Data Streaming System. ICDCS 2010: 126-137
Coauthor Index
Dimitris Palyvos-Giannas
aka: Dimitrios Palyvos-Giannas
aka: Dimitrios Palyvos-Giannas
[c61] [c58] [c57] [j14] [c55] [c53] [i8] [j13] [j12] [c52] [c51] [c50] [c49] [c48] [c47] [j11] [j10] [j9] [c45] [i7] [i6] [j8] [j7] [j6] [c43] [c41] [c40] [c39] [j5] [c38] [c37] [c35] [c34] [c33] [c31] [c30] [c28] [c27] [r1] [j4] [c26] [c23] [c22] [c21] [i5] [j3] [c20] [c19] [c17] [i4] [c15] [c14] [c12] [c11] [i3] [j2] [c10] [c9] [c8] [c7] [c5] [c4] [i2] [c2]
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last updated on 2024-12-02 22:32 CET by the dblp team
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