Angelos Christos Anadiotis

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Modern Hybrid Transactional/Analytical Processing (HTAP) systems use an integrated data processing engine that performs analytics on fresh data, which are ingested from a transactional engine. HTAP systems typically consider data freshness at design time, ...

GPUs are becoming increasingly popular in large scale data center installations due to their strong, embarrassingly parallel, processing capabilities. Data management systems are riding the wave by using GPUs to accelerate query execution, mainly for analy ...

In this paper we introduce SD-WISE, a Software-Defined Wireless SEnsor networking solution for Wireless Sensor (and actuator) Networks (WSNs). SD-WISE has several unique features making it a flexible and expandable solution that can be applied in heterogen ...

Online Transaction Processing (OLTP) deployments are migrating from on-premise to cloud settings in order to exploit the elasticity of cloud infrastructure which allows them to adapt to workload variations. However, cloud adaptation comes at the cost of re ...

Digital data is a gold mine for modern journalism. However, datasets which interest journalists are extremely heterogeneous, ranging from highly structured (relational databases), semi-structured (JSON, XML, HTML), graphs (e.g., RDF), and text. Journalists ...

Most modern in-memory online transaction processing (OLTP) engines rely on multi-version concurrency control (MVCC) to provide data consistency guarantees in the presence of conflicting data accesses. MVCC improves concurrency by generating a new version o ...

Angelos Christos Anadiotis

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Adaptive HTAP through Elastic Resource Scheduling

GPU-accelerated data management under the test of time

SD-WISE: A Software-Defined WIreless SEnsor network

A system design for elastically scaling transaction processing engines in virtualized servers

Adaptive HTAP through Elastic Resource Scheduling

Graph integration of structured, semistructured and unstructured data for data journalism

One-shot Garbage Collection for In-memory OLTP through Temporality-aware Version Storage

Analyzing the Impact of System Architecture on the Scalability of OLTP Engines for High-Contention Workloads