27 citations · 41 across the 11 of their papers we have counts for
13 papers
Storing and Querying Evolving Graphs in NoSQL Storage Models
Alexandros Spitalas, Anastasios Gounaris, Andreas Kosmatopoulos +1
This paper investigates advanced storage models for evolving graphs, focusing on the efficient management of historical data and the optimization of global query performance. Evolv…
Rank-based Heuristics for Optimizing the Execution of Product Data Models
Konstantinos Varvoutas, Anastasios Gounaris, Georgia Kougka +1
The Product Data Model (PDM) is an example of a data-centric approach to modelling information-intensive business processes, which offers exibility and facilitates process optimiza…
Cost models for geo-distributed massively parallel streaming analytics
Anna-Valentini Michailidou, Anastasios Gounaris, Konstantinos Tsichlas
This report is part of the DataflowOpt project on optimization of modern dataflows and aims to introduce a data quality-aware cost model that covers the following aspects in combin…
Analysis of key flavors of event-driven predictive maintenance using logs of phenomena described by Weibull distributions
Petros Petsinis, Athanasios Naskos, Anastasios Gounaris
This work explores two approaches to event-driven predictive maintenance in Industry 4.0 that cast the problem at hand as a classification or a regression one, respectively, using…
Adaptive filter ordering in Spark
Nikodimos Nikolaidis, Anastasios Gounaris
This report describes a technical methodology to render the Apache Spark execution engine adaptive. It presents the engineering solutions, which specifically target to adaptively r…
Continuous Outlier Mining of Streaming Data in Flink
Theodoros Toliopoulos, Anastasios Gounaris, Kostas Tsichlas +2
In this work, we focus on distance-based outliers in a metric space, where the status of an entity as to whether it is an outlier is based on the number of other entities in its ne…
Speeding-up the Verification Phase of Set Similarity Joins in the GPGPU paradigm
Christos Bellas, Anastasios Gounaris
We investigate the problem of exact set similarity joins using a co-process CPU-GPU scheme. The state-of-the-art CPU solutions split the wok in two main phases. First, filtering an…
The Many Faces of Data-centric Workflow Optimization: A Survey
Georgia Kougka, Anastasios Gounaris, Alkis Simitsis
Workflow technology is rapidly evolving and, rather than being limited to modeling the control flow in business processes, is becoming a key mechanism to perform advanced data mana…
Spark Parameter Tuning via Trial-and-Error
Panagiotis Petridis, Anastasios Gounaris, Jordi Torres
Spark has been established as an attractive platform for big data analysis, since it manages to hide most of the complexities related to parallelism, fault tolerance and cluster se…
Towards Automated Performance Optimization of BPMN Business Processes
Anastasios Gounaris
Business Process Model and Notation (BPMN) provides a standard for the design of business processes. It focuses on bridging the gap between the analysis and the technical perspecti…
Cost optimization of data flows based on task re-ordering
Georgia Kougka, Anastasios Gounaris
Analyzing big data in a highly dynamic environment becomes more and more critical because of the increasingly need for end-to-end processing of this data. Modern data flows are qui…
Cloud elasticity using probabilistic model checking
Athanasios Naskos, Emmanouela Stachtiari, Anastasios Gounaris +4
Cloud computing has become the leading paradigm for deploying large-scale infrastructures and running big data applications, due to its capacity of achieving economies of scale. In…
Skew Handling in Aggregate Streaming Queries on GPUs
Georgios Koutsoumpakis, Iakovos Koutsoumpakis, Anastasios Gounaris
Nowadays, the data to be processed by database systems has grown so large that any conventional, centralized technique is inadequate. At the same time, general purpose computation…