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2020 – today
- 2024
[j22]Sotiris Vasileiadis, Matthew Paraskeva, George Savva, Andreas Efstathiou, Edson Ramiro Lucas Filho, Jianqiang Shen, Lun Yang, Ke-Bo Fu, Herodotos Herodotou:
Optimizing Distributed Tiered Data Storage Systems with DITIS. Proc. VLDB Endow. 17(12): 4393-4396 (2024)- [c38]Sheraz Aslam, Michalis P. Michaelides, Herodotos Herodotou:
Muli-Quay Combined Berth and Quay Crane Allocation Using the Cuckoo Search Algorithm. VEHITS 2024: 220-227 - [e3]Demetris Zeinalipour
, Dora Blanco Heras, George Pallis, Herodotos Herodotou, Demetris Trihinas, Daniel Balouek, Patrick Diehl, Terry Cojean, Karl Fürlinger, Maja Hanne Kirkeby, Matteo Nardelli, Pierangelo di Sanzo:
Euro-Par 2023: Parallel Processing Workshops - Euro-Par 2023 International Workshops, Limassol, Cyprus, August 28 - September 1, 2023, Revised Selected Papers, Part I. Lecture Notes in Computer Science 14351, Springer 2024, ISBN 978-3-031-50683-3 [contents] - [e2]Demetris Zeinalipour, Dora Blanco Heras, George Pallis, Herodotos Herodotou, Demetris Trihinas, Daniel Balouek, Patrick Diehl, Terry Cojean, Karl Fürlinger, Maja Hanne Kirkeby, Matteo Nardelli, Pierangelo di Sanzo:
Euro-Par 2023: Parallel Processing Workshops - Euro-Par 2023 International Workshops, Limassol, Cyprus, August 28 - September 1, 2023, Revised Selected Papers, Part II. Lecture Notes in Computer Science 14352, Springer 2024, ISBN 978-3-031-48802-3 [contents] - 2023
- [j21]Kainat Mustafa, Sajjad Khan, Sheraz Aslam, Herodotos Herodotou, Nouman Ashraf, Amil Daraz, Tamim Alkhalifah:
Toward Holistic Energy Management by Electricity Load and Price Forecasting: A Comprehensive Survey. IEEE Access 11: 132604-132626 (2023) - [j20]Lambros Odysseos, Herodotos Herodotou:
On combining system and machine learning performance tuning for distributed data stream applications. Distributed Parallel Databases 41(3): 411-438 (2023) - [j19]Andreas Gregoriades, Maria Pampaka, Herodotos Herodotou, Evripides Christodoulou:
Explaining tourist revisit intention using natural language processing and classification techniques. J. Big Data 10(1): 60 (2023) - [j18]Herodotos Herodotou, Elena Kakoulli:
Cost-based Data Prefetching and Scheduling in Big Data Platforms over Tiered Storage Systems. ACM Trans. Database Syst. 48(4): 11:1-11:40 (2023) - [c37]Sheraz Aslam, Herodotos Herodotou, Eduardo Garro, Alvaro Martinez-Romero, Maria Angeles Burgos Simon, Alessandro Cassera, George Papas, Petros Dias, Michalis P. Michaelides:
IoT for the Maritime Industry: Challenges and Emerging Applications. FedCSIS 2023: 855-858 - [c36]Sheraz Aslam, Herodotos Herodotou, Eduardo Garro, Alvaro Martinez-Romero, Maria Angeles Burgos Simon, Alessandro Cassera, George Papas, Petros Dias, Michalis P. Michaelides:
Emerging IoT Applications and Architectures for Smart Maritime Container Terminals. WF-IoT 2023: 1-6 - 2022
- [j17]Herodotos Herodotou, Panos K. Chrysanthis, Shimin Chen, Meichun Hsu, Khuzaima Daudjee, Yingjun Wu, Constantinos Costa:
Introduction to the special issue on self‑managing and hardware‑optimized database systems 2020. Distributed Parallel Databases 40(1): 1-3 (2022) - [j16]Sheraz Aslam, Michalis P. Michaelides, Herodotos Herodotou:
Enhanced Berth Allocation Using the Cuckoo Search Algorithm. SN Comput. Sci. 3(4): 325 (2022) - [j15]Michael A. Georgiou, Aristodemos Paphitis, Michael Sirivianos, Herodotos Herodotou:
Hihooi: A Database Replication Middleware for Scaling Transactional Databases Consistently. IEEE Trans. Knowl. Data Eng. 34(2): 691-707 (2022) - [c35]Lambros Odysseos, Herodotos Herodotou:
Exploring System and Machine Learning Performance Interactions when Tuning Distributed Data Stream Applications. ICDE Workshops 2022: 24-29 - [c34]Herodotos Herodotou, Lambros Odysseos, Yuxing Chen, Jiaheng Lu:
Automatic Performance Tuning for Distributed Data Stream Processing Systems. ICDE 2022: 3194-3197 - [c33]Konstantinos Christodoulou, Herodotos Herodotou, Michalis P. Michaelides:
Estimation of Sea Surface Current Velocities using AIS Data. MDM 2022: 407-412 - [c32]Nicos Evmides, Lambros Odysseos, Michalis P. Michaelides, Herodotos Herodotou:
An Intelligent Framework for Vessel Traffic Monitoring Using AIS Data. MDM 2022: 413-418 - [c31]Aidan Worth, Aris Televantos, Nicos Evmides, Michalis P. Michaelides, Herodotos Herodotou:
Online Analytical Processing of Port Calls for Decision Support. MDM 2022: 437-439 - [c30]Evripides Christodoulou, Andreas Gregoriades, Herodotos Herodotou, Maria Pampaka:
Combination of User and Venue Personality with Topic Modelling in Restaurant Recommender Systems. RecTour@RecSys 2022: 21-36 - [c29]Evripides Christodoulou, Andreas Gregoriades, Herodotos Herodotou, Maria Pampaka:
Extracting User Preferences and Personality from Text for Restaurant Recommendation. ORSUM@RecSys 2022 - [c28]Sheraz Aslam, Michalis P. Michaelides, Herodotos Herodotou:
Optimizing Multi-Quay Berth Allocation using the Cuckoo Search Algorithm. VEHITS 2022: 124-133 - [c27]Evripides Christodoulou, Andreas Gregoriades, Maria Pampaka, Herodotos Herodotou:
Personality-Informed Restaurant Recommendation. WorldCIST (1) 2022: 13-21 - 2021
- [j14]Edson Ramiro Lucas Filho, Eduardo Cunha de Almeida, Stefanie Scherzinger, Herodotos Herodotou:
Investigating Automatic Parameter Tuning for SQL-on-Hadoop Systems. Big Data Res. 25: 100204 (2021) - [j13]Herodotos Herodotou, Yuxing Chen, Jiaheng Lu:
A Survey on Automatic Parameter Tuning for Big Data Processing Systems. ACM Comput. Surv. 53(2): 43:1-43:37 (2021) - [j12]Andreas Gregoriades, Maria Pampaka, Herodotos Herodotou, Evripides Christodoulou:
Supporting digital content marketing and messaging through topic modelling and decision trees. Expert Syst. Appl. 184: 115546 (2021) - [j11]Herodotos Herodotou, Elena Kakoulli:
Trident: Task Scheduling over Tiered Storage Systems in Big Data Platforms. Proc. VLDB Endow. 14(9): 1570-1582 (2021) - [c26]Nicolas Kourtellis, Herodotos Herodotou, Maciej Grzenda, Piotr Wawrzyniak, Albert Bifet:
S2CE: a hybrid cloud and edge orchestrator for mining exascale distributed streams. DEBS 2021: 103-113 - [c25]Herodotos Herodotou, Despoina Chatzakou, Nicolas Kourtellis:
Catching them red-handed: Real-time Aggression Detection on Social Media. ICDE 2021: 2123-2128 - [c24]Evripides Christodoulou, Andreas Gregoriades, Maria Pampaka, Herodotos Herodotou:
Application of Classification and Word Embedding Techniques to Evaluate Tourists' Hotel-revisit Intention. ICEIS (1) 2021: 216-223 - [c23]Michael A. Georgiou, Michael Panayiotou, Lambros Odysseos, Aristodemos Paphitis, Michael Sirivianos, Herodotos Herodotou:
Attaining Workload Scalability and Strong Consistency for Replicated Databases with Hihooi. SIGMOD Conference 2021: 2721-2725 - [c22]Evripides Christodoulou, Andreas Gregoriades, Maria Pampaka, Herodotos Herodotou:
Evaluating the Effect of Weather on Tourist Revisit Intention using Natural Language Processing and Classification Techniques. SMC 2021: 2479-2484 - [c21]Sheraz Aslam, Michalis P. Michaelides, Herodotos Herodotou:
Dynamic and Continuous Berth Allocation using Cuckoo Search Optimization. VEHITS 2021: 72-81 - 2020
- [j10]Sheraz Aslam, Michalis P. Michaelides, Herodotos Herodotou:
Internet of Ships: A Survey on Architectures, Emerging Applications, and Challenges. IEEE Internet Things J. 7(10): 9714-9727 (2020) - [c20]Herodotos Herodotou, Despoina Chatzakou, Nicolas Kourtellis:
A Streaming Machine Learning Framework for Online Aggression Detection on Twitter. IEEE BigData 2020: 5056-5067 - [c19]Evripides Christodoulou, Andreas Gregoriades, Maria Pampaka, Herodotos Herodotou:
Combination of Topic Modelling and Decision Tree Classification for Tourist Destination Marketing. CAiSE Workshops 2020: 95-108 - [c18]Andreas Pamboris, Charalampos Kozis, Herodotos Herodotou:
Cuttlefish: A Flexible and Lightweight Middleware for Combining Heterogeneous IoT Devices. CCNC 2020: 1-6 - [e1]Alexander Chatzigeorgiou, Riccardo Dondi, Herodotos Herodotou, Christos A. Kapoutsis, Yannis Manolopoulos, George A. Papadopoulos, Florian Sikora:
SOFSEM 2020: Theory and Practice of Computer Science - 46th International Conference on Current Trends in Theory and Practice of Informatics, SOFSEM 2020, Limassol, Cyprus, January 20-24, 2020, Proceedings. Lecture Notes in Computer Science 12011, Springer 2020, ISBN 978-3-030-38918-5 [contents] - [i7]Michael A. Georgiou, Aristodemos Paphitis, Michael Sirivianos, Herodotos Herodotou:
Hihooi: A Database Replication Middleware for Scaling Transactional Databases Consistently. CoRR abs/2003.07432 (2020) - [i6]Herodotos Herodotou, Despoina Chatzakou, Nicolas Kourtellis:
Catching them red-handed: Real-time Aggression Detection on Social Media. CoRR abs/2006.10104 (2020) - [i5]Nicolas Kourtellis, Herodotos Herodotou, Maciej Grzenda, Piotr Wawrzyniak, Albert Bifet:
S2CE: A Hybrid Cloud and Edge Orchestrator for Mining Exascale Distributed Streams. CoRR abs/2007.01260 (2020)
2010 – 2019
- 2019
- [j9]Jiaheng Lu, Yuxing Chen, Herodotos Herodotou, Shivnath Babu:
Speedup Your Analytics: Automatic Parameter Tuning for Databases and Big Data Systems. Proc. VLDB Endow. 12(12): 1970-1973 (2019) - [j8]Herodotos Herodotou, Elena Kakoulli:
Automating Distributed Tiered Storage Management in Cluster Computing. Proc. VLDB Endow. 13(1): 43-56 (2019) - [c17]Sheraz Aslam, Herodotos Herodotou, Nasir Ayub, Syed Muhammad Mohsin:
Deep Learning Based Techniques to Enhance the Performance of Microgrids: A Review. FIT 2019: 116-121 - [c16]Michael A. Georgiou, Aristodemos Paphitis, Michael Sirivianos, Herodotos Herodotou:
Towards Auto-Scaling Existing Transactional Databases with Strong Consistency. ICDE Workshops 2019: 107-112 - [c15]Herodotos Herodotou:
AutoCache: Employing Machine Learning to Automate Caching in Distributed File Systems. ICDE Workshops 2019: 133-139 - [i4]Herodotos Herodotou, Elena Kakoulli:
Automating Distributed Tiered Storage Management in Cluster Computing. CoRR abs/1907.02394 (2019) - 2018
- [j7]Elena Kakoulli, Nikolaos Karmiris, Herodotos Herodotou:
OctopusFS in Action: Tiered Storage Management for Data Intensive Computing. Proc. VLDB Endow. 11(12): 1914-1917 (2018) - [c14]Andreas Pamboris, Panayiotis Andreou, Herodotos Herodotou, George Samaras:
MULTI-WEAR: A multi-wearable platform for enhancing mobile experiences. CCNC 2018: 1-6 - [c13]Calin Iorgulescu, Reza Azimi, Youngjin Kwon, Sameh Elnikety, Manoj Syamala, Vivek R. Narasayya, Herodotos Herodotou, Paulo Tomita, Alex Chen, Jack Zhang, Junhua Wang:
PerfIso: Performance Isolation for Commercial Latency-Sensitive Services. USENIX ATC 2018: 519-532 - 2017
- [c12]Elena Kakoulli, Herodotos Herodotou:
OctopusFS: A Distributed File System with Tiered Storage Management. SIGMOD Conference 2017: 65-78 - 2016
- [c11]Herodotos Herodotou:
Towards a distributed multi-tier file system for cluster computing. ICDE Workshops 2016: 131-134 - [c10]Salah Eddin Alshaal, Stylianos Michael, Andreas Pamboris, Herodotos Herodotou, George Samaras, Panayiotis Andreou:
Enhancing Virtual Reality Systems with Smart Wearable Devices. MDM 2016: 345-348 - 2015
- [c9]Herodotos Herodotou:
A Distributed File System with Storage-Media Awareness. UCC 2015: 406-407 - 2014
- [c8]Mostafa Ead, Herodotos Herodotou, Ashraf Aboulnaga, Shivnath Babu:
PStorM: Profile Storage and Matching for Feedback-Based Tuning of MapReduce Jobs. EDBT 2014: 1-12 - [c7]Herodotos Herodotou, Bolin Ding, Shobana Balakrishnan, Geoff Outhred, Percy Fitter:
Scalable near real-time failure localization of data center networks. KDD 2014: 1689-1698 - 2013
- [j6]Herodotos Herodotou, Shivnath Babu:
A What-if Engine for Cost-based MapReduce Optimization. IEEE Data Eng. Bull. 36(1): 5-14 (2013) - [j5]Shivnath Babu, Herodotos Herodotou:
Massively Parallel Databases and MapReduce Systems. Found. Trends Databases 5(1): 1-104 (2013) - 2012
- [b1]Herodotos Herodotou:
Automatic Tuning of Data-Intensive Analytical Workloads. Duke University, Durham, NC, USA, 2012 - [j4]Harold Lim, Herodotos Herodotou, Shivnath Babu:
Stubby: A Transformation-based Optimizer for MapReduce Workflows. Proc. VLDB Endow. 5(11): 1196-1207 (2012) - [i3]Harold Lim, Herodotos Herodotou, Shivnath Babu:
Stubby: A Transformation-based Optimizer for MapReduce Workflows. CoRR abs/1208.0082 (2012) - 2011
- [j3]Herodotos Herodotou, Shivnath Babu:
Profiling, What-if Analysis, and Cost-based Optimization of MapReduce Programs. Proc. VLDB Endow. 4(11): 1111-1122 (2011) - [j2]Herodotos Herodotou, Fei Dong, Shivnath Babu:
MapReduce Programming and Cost-based Optimization? Crossing this Chasm with Starfish. Proc. VLDB Endow. 4(12): 1446-1449 (2011) - [c6]Herodotos Herodotou, Harold Lim, Gang Luo, Nedyalko Borisov, Liang Dong, Fatma Bilgen Cetin, Shivnath Babu:
Starfish: A Self-tuning System for Big Data Analytics. CIDR 2011: 261-272 - [c5]Herodotos Herodotou, Fei Dong, Shivnath Babu:
No one (cluster) size fits all: automatic cluster sizing for data-intensive analytics. SoCC 2011: 18 - [c4]Herodotos Herodotou, Nedyalko Borisov, Shivnath Babu:
Query optimization techniques for partitioned tables. SIGMOD Conference 2011: 49-60 - [i2]Herodotos Herodotou:
Hadoop Performance Models. CoRR abs/1106.0940 (2011) - 2010
- [j1]Herodotos Herodotou, Shivnath Babu:
Xplus: A SQL-Tuning-Aware Query Optimizer. Proc. VLDB Endow. 3(1): 1149-1160 (2010)
2000 – 2009
- 2009
- [c3]Yi Zhang, Herodotos Herodotou, Jun Yang:
RIOT: I/O-Efficient Numerical Computing without SQL. CIDR 2009 - [c2]Shivnath Babu, Nedyalko Borisov, Songyun Duan, Herodotos Herodotou, Vamsidhar Thummala:
Automated Experiment-Driven Management of (Database) Systems. HotOS 2009 - [c1]Herodotos Herodotou, Shivnath Babu:
Automated SQL tuning through trial and (sometimes) error. DBTest 2009 - [i1]Yi Zhang, Herodotos Herodotou, Jun Yang:
RIOT: I/O-Efficient Numerical Computing without SQL. CoRR abs/0909.1766 (2009)
Coauthor Index
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