RIOT: I/O-Efficient Numerical Computing without SQL. - Yi Zhang 011; Herodotos Herodotou; Jun Yang 001 (CIDR, 2009)

Automated Experiment-Driven Management of (Database) Systems. - Shivnath Babu; Nedyalko Borisov; Songyun Duan; Herodotos Herodotou; Vamsidhar Thummala (HotOS, 2009)

Automated SQL tuning through trial and (sometimes) error. - Herodotos Herodotou; Shivnath Babu (DBTest, 2009)

Xplus: A SQL-Tuning-Aware Query Optimizer. - Herodotos Herodotou; Shivnath Babu (Proc. VLDB Endow., 2010)

Starfish: A Self-tuning System for Big Data Analytics. - Herodotos Herodotou; Harold Lim; Gang Luo; Nedyalko Borisov; Liang Dong; Fatma Bilgen Cetin; Shivnath Babu (CIDR, 2011)

No one (cluster) size fits all: automatic cluster sizing for data-intensive analytics. - Herodotos Herodotou; Fei Dong; Shivnath Babu (SoCC, 2011)

Query optimization techniques for partitioned tables. - Herodotos Herodotou; Nedyalko Borisov; Shivnath Babu (SIGMOD Conference, 2011)

Hadoop Performance Models - Herodotos Herodotou (CoRR, 2011)

Profiling, What-if Analysis, and Cost-based Optimization of MapReduce Programs. - Herodotos Herodotou; Shivnath Babu (Proc. VLDB Endow., 2011)

MapReduce Programming and Cost-based Optimization? Crossing this Chasm with Starfish. - Herodotos Herodotou; Fei Dong; Shivnath Babu (Proc. VLDB Endow., 2011)

Stubby: A Transformation-based Optimizer for MapReduce Workflows. - Harold Lim; Herodotos Herodotou; Shivnath Babu (Proc. VLDB Endow., 2012)

Automatic Tuning of Data-Intensive Analytical Workloads. - Herodotos Herodotou (2012)

A What-if Engine for Cost-based MapReduce Optimization. - Herodotos Herodotou; Shivnath Babu (IEEE Data Eng. Bull., 2013)

Massively Parallel Databases and MapReduce Systems. - Shivnath Babu; Herodotos Herodotou (Found. Trends Databases, 2013)

PStorM: Profile Storage and Matching for Feedback-Based Tuning of MapReduce Jobs. - Mostafa Ead; Herodotos Herodotou; Ashraf Aboulnaga; Shivnath Babu (EDBT, 2014)

Scalable near real-time failure localization of data center networks. - Herodotos Herodotou; Bolin Ding; Shobana Balakrishnan; Geoff Outhred; Percy Fitter (KDD, 2014)

A Distributed File System with Storage-Media Awareness. - Herodotos Herodotou (UCC, 2015)

Towards a distributed multi-tier file system for cluster computing. - Herodotos Herodotou (ICDE Workshops, 2016)

Enhancing Virtual Reality Systems with Smart Wearable Devices. - Salah Eddin Alshaal; Stylianos Michael; Andreas Pamboris; Herodotos Herodotou; George Samaras; Panayiotis Andreou (MDM, 2016)

OctopusFS: A Distributed File System with Tiered Storage Management. - Elena Kakoulli; Herodotos Herodotou (SIGMOD Conference, 2017)

MULTI-WEAR: A multi-wearable platform for enhancing mobile experiences. - Andreas Pamboris; Panayiotis Andreou; Herodotos Herodotou; George Samaras (CCNC, 2018)

PerfIso: Performance Isolation for Commercial Latency-Sensitive Services. - Calin Iorgulescu; Reza Azimi; Youngjin Kwon; Sameh Elnikety; Manoj Syamala; Vivek R. Narasayya; Herodotos Herodotou; Paulo Tomita; Alex Chen; Jack Zhang; Junhua Wang (USENIX ATC, 2018)

OctopusFS in Action: Tiered Storage Management for Data Intensive Computing. - Elena Kakoulli; Nikolaos Karmiris; Herodotos Herodotou (Proc. VLDB Endow., 2018)

Deep Learning Based Techniques to Enhance the Performance of Microgrids: A Review. - Sheraz Aslam; Herodotos Herodotou; Nasir Ayub; Syed Muhammad Mohsin (FIT, 2019)

Towards Auto-Scaling Existing Transactional Databases with Strong Consistency. - Michael A. Georgiou; Aristodemos Paphitis; Michael Sirivianos; Herodotos Herodotou (ICDE Workshops, 2019)

AutoCache: Employing Machine Learning to Automate Caching in Distributed File Systems. - Herodotos Herodotou (ICDE Workshops, 2019)

Automating Distributed Tiered Storage Management in Cluster Computing. - Herodotos Herodotou; Elena Kakoulli (Proc. VLDB Endow., 2019)

Speedup Your Analytics: Automatic Parameter Tuning for Databases and Big Data Systems. - Jiaheng Lu; Yuxing Chen; Herodotos Herodotou; Shivnath Babu (Proc. VLDB Endow., 2019)

A Streaming Machine Learning Framework for Online Aggression Detection on Twitter. - Herodotos Herodotou; Despoina Chatzakou; Nicolas Kourtellis (IEEE BigData, 2020)

Combination of Topic Modelling and Decision Tree Classification for Tourist Destination Marketing. - Evripides Christodoulou; Andreas Gregoriades; Maria Pampaka; Herodotos Herodotou (CAiSE Workshops, 2020)

Cuttlefish: A Flexible and Lightweight Middleware for Combining Heterogeneous IoT Devices. - Andreas Pamboris; Charalampos Kozis; Herodotos Herodotou (CCNC, 2020)

Internet of Ships: A Survey on Architectures, Emerging Applications, and Challenges. - Sheraz Aslam; Michalis P. Michaelides; Herodotos Herodotou (IEEE Internet Things J., 2020)

S2CE: a hybrid cloud and edge orchestrator for mining exascale distributed streams. - Nicolas Kourtellis; Herodotos Herodotou; Maciej Grzenda; Piotr Wawrzyniak; Albert Bifet (DEBS, 2021)

Catching them red-handed: Real-time Aggression Detection on Social Media. - Herodotos Herodotou; Despoina Chatzakou; Nicolas Kourtellis (ICDE, 2021)

Application of Classification and Word Embedding Techniques to Evaluate Tourists' Hotel-revisit Intention. - Evripides Christodoulou; Andreas Gregoriades; Maria Pampaka; Herodotos Herodotou (ICEIS (1), 2021)

Attaining Workload Scalability and Strong Consistency for Replicated Databases with Hihooi. - Michael A. Georgiou; Michael Panayiotou; Lambros Odysseos; Aristodemos Paphitis; Michael Sirivianos; Herodotos Herodotou (SIGMOD Conference, 2021)

Evaluating the Effect of Weather on Tourist Revisit Intention using Natural Language Processing and Classification Techniques. - Evripides Christodoulou; Andreas Gregoriades; Maria Pampaka; Herodotos Herodotou (SMC, 2021)

Dynamic and Continuous Berth Allocation using Cuckoo Search Optimization. - Sheraz Aslam; Michalis P. Michaelides; Herodotos Herodotou (VEHITS, 2021)

Investigating Automatic Parameter Tuning for SQL-on-Hadoop Systems. - Edson Ramiro Lucas Filho; Eduardo Cunha de Almeida; Stefanie Scherzinger; Herodotos Herodotou (Big Data Res., 2021)

A Survey on Automatic Parameter Tuning for Big Data Processing Systems. - Herodotos Herodotou; Yuxing Chen; Jiaheng Lu (ACM Comput. Surv., 2021)

Supporting digital content marketing and messaging through topic modelling and decision trees. - Andreas Gregoriades; Maria Pampaka; Herodotos Herodotou; Evripides Christodoulou (Expert Syst. Appl., 2021)

Trident: Task Scheduling over Tiered Storage Systems in Big Data Platforms. - Herodotos Herodotou; Elena Kakoulli (Proc. VLDB Endow., 2021)

Automatic Performance Tuning for Distributed Data Stream Processing Systems. - Herodotos Herodotou; Lambros Odysseos; Yuxing Chen; Jiaheng Lu (ICDE, 2022)

Exploring System and Machine Learning Performance Interactions when Tuning Distributed Data Stream Applications. - Lambros Odysseos; Herodotos Herodotou (ICDE Workshops, 2022)

Estimation of Sea Surface Current Velocities using AIS Data. - Konstantinos Christodoulou; Herodotos Herodotou; Michalis P. Michaelides (MDM, 2022)

An Intelligent Framework for Vessel Traffic Monitoring Using AIS Data. - Nicos Evmides; Lambros Odysseos; Michalis P. Michaelides; Herodotos Herodotou (MDM, 2022)

Online Analytical Processing of Port Calls for Decision Support. - Aidan Worth; Aris Televantos; Nicos Evmides; Michalis P. Michaelides; Herodotos Herodotou (MDM, 2022)

Combination of User and Venue Personality with Topic Modelling in Restaurant Recommender Systems. - Evripides Christodoulou; Andreas Gregoriades; Herodotos Herodotou; Maria Pampaka (RecTour@RecSys, 2022)

Extracting User Preferences and Personality from Text for Restaurant Recommendation. - Evripides Christodoulou; Andreas Gregoriades; Herodotos Herodotou; Maria Pampaka (ORSUM@RecSys, 2022)

Optimizing Multi-Quay Berth Allocation using the Cuckoo Search Algorithm. - Sheraz Aslam; Michalis P. Michaelides; Herodotos Herodotou (VEHITS, 2022)

Personality-Informed Restaurant Recommendation. - Evripides Christodoulou; Andreas Gregoriades; Maria Pampaka; Herodotos Herodotou (WorldCIST (1), 2022)

Introduction to the special issue on self‑managing and hardware‑optimized database systems 2020. - Herodotos Herodotou; Panos K. Chrysanthis; Shimin Chen; Meichun Hsu; Khuzaima Daudjee; Yingjun Wu; Constantinos Costa (Distributed Parallel Databases, 2022)

Enhanced Berth Allocation Using the Cuckoo Search Algorithm. - Sheraz Aslam; Michalis P. Michaelides; Herodotos Herodotou (SN Comput. Sci., 2022)

Hihooi: A Database Replication Middleware for Scaling Transactional Databases Consistently. - Michael A. Georgiou; Aristodemos Paphitis; Michael Sirivianos; Herodotos Herodotou (IEEE Trans. Knowl. Data Eng., 2022)

IoT for the Maritime Industry: Challenges and Emerging Applications. - Sheraz Aslam; Herodotos Herodotou; Eduardo Garro; Alvaro Martinez-Romero; Maria Angeles Burgos Simon; Alessandro Cassera; George Papas; Petros Dias; Michalis P. Michaelides (FedCSIS, 2023)

Emerging IoT Applications and Architectures for Smart Maritime Container Terminals. - Sheraz Aslam; Herodotos Herodotou; Eduardo Garro; Alvaro Martinez-Romero; Maria Angeles Burgos Simon; Alessandro Cassera; George Papas; Petros Dias; Michalis P. Michaelides (WF-IoT, 2023)

Toward Holistic Energy Management by Electricity Load and Price Forecasting: A Comprehensive Survey. - Kainat Mustafa; Sajjad Khan; Sheraz Aslam; Herodotos Herodotou; Nouman Ashraf; Amil Daraz; Tamim Alkhalifah (IEEE Access, 2023)

On combining system and machine learning performance tuning for distributed data stream applications. - Lambros Odysseos; Herodotos Herodotou (Distributed Parallel Databases, 2023)

Explaining tourist revisit intention using natural language processing and classification techniques. - Andreas Gregoriades; Maria Pampaka; Herodotos Herodotou; Evripides Christodoulou (J. Big Data, 2023)

Cost-based Data Prefetching and Scheduling in Big Data Platforms over Tiered Storage Systems. - Herodotos Herodotou; Elena Kakoulli (ACM Trans. Database Syst., 2023)

Muli-Quay Combined Berth and Quay Crane Allocation Using the Cuckoo Search Algorithm. - Sheraz Aslam; Michalis P. Michaelides; Herodotos Herodotou (VEHITS, 2024)

Optimizing Distributed Tiered Data Storage Systems with DITIS. - Sotiris Vasileiadis; Matthew Paraskeva; George Savva; Andreas Efstathiou; Edson Ramiro Lucas Filho; Jianqiang Shen; Lun Yang; Ke-Bo Fu; Herodotos Herodotou (Proc. VLDB Endow., 2024)

Employing Streaming Machine Learning for Modeling Workload Patterns in Multi-Tiered Data Storage Systems. - Edson Ramiro Lucas Filho; George Savva; Lun Yang; Ke-Bo Fu; Jianqiang Shen; Herodotos Herodotou (Future Internet, 2025)

DITIS: An End-to-End System-Level Simulator and Optimizer for Distributed Tiered Storage. - Edson Ramiro Lucas Filho; Andreas Efstathiou; Lun Yang; Ke-Bo Fu; Jianqiang Shen; Herodotos Herodotou (SN Comput. Sci., 2025)