Research Summary: Deterministic, Explainable and Efficient Stream Processing
Paper i proceeding, 2022

The vast amounts of data collected and processed by technologies such as Cyber-Physical Systems require new processing paradigms that can keep up with the increasing data volumes. Edge computing and stream processing are two such paradigms that, combined, allow users to process unbounded datasets in an online manner, delivering high-throughput, low-latency insights. Moving stream processing to the edge introduces challenges related to the heterogeneity and resource constraints of the processing infrastructure. In this work, we present state-of-the-art research results that improve the facilities of Stream Processing Engines (SPEs) with data provenance, custom scheduling, and other techniques that can support the usability and performance of streaming applications, spanning through the edge-cloud contexts, as needed.

scheduling

stream processing

determinism

provenance

Författare

Dimitrios Palyvos-Giannas

Nätverk och System

Marina Papatriantafilou

Nätverk och System

Vincenzo Massimiliano Gulisano

Nätverk och System

ApPLIED 2022 - Proceedings of the 2022 Workshop on Advanced Tools, Programming Languages, and PLatforms for Implementing and Evaluating Algorithms for Distributed Systems

65-69
9781450392808 (ISBN)

2022 Workshop on Advanced Tools, Programming Languages, and PLatforms for Implementing and Evaluating Algorithms for Distributed Systems, ApPLIED 2022
Salerno, Italy,

Ämneskategorier

Datavetenskap (datalogi)

Datorsystem

DOI

10.1145/3524053.3542750

Mer information

Senast uppdaterat

2022-09-02