TU Darmstadt / ULB / TUbiblio

Highly Flexible Server Agnostic Complex Event Processing Operators

Luthra, Manisha and Hennig, Sebastian and Agnihotri, Pratyush and Wang, Lin and Koldehofe, Boris (2019):
Highly Flexible Server Agnostic Complex Event Processing Operators.
In: 20th ACM/IFIP International Middleware Conference, UC Davis, CA, United States, 9-13 Dezember 2019, [Conference or Workshop Item]

Abstract

Complex Event Processing (CEP) is a powerful paradigm that can derive correlations from different data sources for a wide variety of applications such as the Internet of Things. CEP provides semantic units called operators e.g., filter and join, that collectively represent a complex event. In current CEP systems, operators are highly dependent on the programming language and the underlying server. This restricts the capability of provisioning user-defined operators at runtime as well as the flexibility of developing server agnostic custom operators.

In this paper, we provide a serverless CEP architecture, which offers developers the flexibility to design operators in any language and integrate them at runtime. We embed operators in the function as a service model of serverless architecture. This is very beneficial for applications such as financial fraud detection where complex machine learning operators must be integrated at runtime to avoid service disruption. We show using our preliminary evaluation that only with minimal overhead in latency, we can offer highly flexible server agnostic CEP operators.

Item Type: Conference or Workshop Item
Erschienen: 2019
Creators: Luthra, Manisha and Hennig, Sebastian and Agnihotri, Pratyush and Wang, Lin and Koldehofe, Boris
Title: Highly Flexible Server Agnostic Complex Event Processing Operators
Language: English
Abstract:

Complex Event Processing (CEP) is a powerful paradigm that can derive correlations from different data sources for a wide variety of applications such as the Internet of Things. CEP provides semantic units called operators e.g., filter and join, that collectively represent a complex event. In current CEP systems, operators are highly dependent on the programming language and the underlying server. This restricts the capability of provisioning user-defined operators at runtime as well as the flexibility of developing server agnostic custom operators.

In this paper, we provide a serverless CEP architecture, which offers developers the flexibility to design operators in any language and integrate them at runtime. We embed operators in the function as a service model of serverless architecture. This is very beneficial for applications such as financial fraud detection where complex machine learning operators must be integrated at runtime to avoid service disruption. We show using our preliminary evaluation that only with minimal overhead in latency, we can offer highly flexible server agnostic CEP operators.

Uncontrolled Keywords: C7
Divisions: 18 Department of Electrical Engineering and Information Technology
18 Department of Electrical Engineering and Information Technology > Institute of Computer Engineering
18 Department of Electrical Engineering and Information Technology > Institute of Computer Engineering > Multimedia Communications
20 Department of Computer Science
20 Department of Computer Science > Telecooperation
DFG-Collaborative Research Centres (incl. Transregio)
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet > C: Communication Mechanisms
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet > C: Communication Mechanisms > Subproject C2: Information-centred perspective
Event Title: 20th ACM/IFIP International Middleware Conference
Event Location: UC Davis, CA, United States
Event Dates: 9-13 Dezember 2019
Date Deposited: 29 Oct 2019 06:45
Export:
Suche nach Titel in: TUfind oder in Google
Send an inquiry Send an inquiry

Options (only for editors)

View Item View Item