Bench 2020 Call for Papers
Benchmarking, measuring, and optimizing are fundamental human activities. The organizing committee is pleased to invite you to take part in Bench’20 to be held in Atlanta, Georgia, USA. [...]
Benchmarking, measuring, and optimizing are fundamental human activities. The organizing committee is pleased to invite you to take part in Bench’20 to be held in Atlanta, Georgia, USA. [...]
DataBench will be at the 8th International Workshop on Testing Database Systems 2020 where Dr. Todor Ivanov (Goethe University Frankfurt) will present the paper CoreBigBench: Benchmarking Big [...]
List of upcoming Call for Papers Journal Elsevier – Special Issue on “Benchmarking, Performance Tuning and Optimization for Big Data Analytics”, Submission deadline: 1 April 2020 [...]
DataBench will be at ICPE 2020! Dr. Todor Ivanov (Goethe University Frankfurt, Germany & DataBench project representative) will present the paper “Tutorial on Benchmarking Big Data [...]
DataBench will be at ICPE 2020! Dr. Todor Ivanov (Goethe University Frankfurt, Germany & DataBench project representative) will present the paper "Tutorial on Benchmarking Big Data Analytics [...]
ICPE originated eleven years ago from the fusion of an ACM workshop on software and performance prediction and a SPEC workshop focused on benchmarking and performance evaluation.
DataBench has successfully participated to the 2019 BenchCouncil International Symposium on Benchmarking, Measuring and Optimizing (Bench 2019) in Denver, Colorado! The main theme of Bench 19 has [...]
DataBench will be at the 2019 BenchCouncil International Symposium on Benchmarking, Measuring and Optimizing (Bench 2019) in Denver, Colorado! The main theme of Bench 19 is benchmarking, [...]
The DataBench team is pleased to announce that the paper “Big Data key performance indicators” (by Barbara Pernici, Chiara Francalanci, Angela Geronazzo, Lucia Polidori, Stefano Ray, Leonardo [...]
This project has received funding from the European Horizon 2020 Programme for research, technological development and demonstration under grant agreement n° 780966