NDLI: Learning from the past: automated rule generation for complex event processing

Please wait, while we are loading the content...

Quality matters: supporting quality-aware pervasive applications by probabilistic data stream management

Learning from the past: automated rule generation for complex event processing

Distributed event aggregation for content-based publish/subscribe systems

We have a DREAM: distributed reactive programming with consistency guarantees

P2S: a fault-tolerant publish/subscribe infrastructure

Tutorial on the internet of everything

The DEBS 2014 grand challenge

A cloud-enabled coordination service for internet-scale OMG DDS applications

Latency-aware elastic scaling for distributed data stream processing systems

RECEP: selection-based reuse for distributed complex event processing

The overlay scan attack: inferring topologies of distributed pub/sub systems through broker saturation

The process-oriented event model (PoEM): a conceptual model for industrial events

Scalable and elastic realtime click stream analysis using StreamMine3G

Cloud-based data stream processing

Predicting energy consumption with StreamMine3G

A cost model for complex event operators

JetStream: enabling high performance event streaming across cloud data-centers

Complex event service provision and composition based on event pattern matchmaking

Automated quality-of-service-aware configuration of publish-subscribe systems at design-time

Energy-efficient context-aware routing in heterogeneous WSN

Handling location uncertainty in event driven experimentation

Policy enforcement within emerging distributed, event-based systems

Scalable stateful stream processing for smart grids

Auto-scaling techniques for elastic data stream processing

An event processing approach to text stream analysis: basic principles of event based information filtering

DS-EPL: domain-specific event processing language

Content-based filtering discovery protocol (CFDP): scalable and efficient OMG DDS discovery protocol

Effective switch memory management in OpenFlow networks

An event processing architecture for operational risk management in an industrial environment

Mobile CEP in real-time big data processing: challenges and opportunities

Predictive load management in smart grid environments

Understanding event attendance through analysis of human crowd behavior in social networks

Using mobile-based complex event processing to realize collaborative remote person monitoring

Solving the grand challenge using an opensource CEP engine

VizPub: visualizing the performance of overlay-based pub/sub systems

Real time load prediction and outliers detection using STORM

Supporting quality-aware pervasive applications by probabilistic data stream management

Predicting power needs in smart grids

Distributed event notification in VANET with multiple service providers

Smart plug monitoring using oracle event processing

Machine-learning approaches for P2P botnet detection using signal-processing techniques

In-memory, high speed stream processing

Architecture of a light-weight non-threaded event oriented workflow engine

Verifying QoS properties of trusted data sensing

Mobile CEP architecture: from intelligent sensing to collaborative monitoring

Achieving high throughput for large scale event streaming across geographically distributed data-centers with JetStream

Automated publish-subscribe middleware configuration with M2etis

Learning from the past: automated rule generation for complex event processing

Content Provider	ACM Digital Library
Author	Margara, Alessandro Tamburrelli, Giordano Cugola, Gianpaolo
Abstract	Complex Event Processing (CEP) systems aim at processing large flows of events to discover situations of interest. In CEP, the processing takes place according to user-defined rules, which specify the (causal) relations between the observed events and the phenomena to be detected. We claim that the complexity of writing such rules is a limiting factor for the diffusion of CEP. In this paper, we tackle this problem by introducing iCEP, a novel framework that learns, from historical traces, the hidden causality between the received events and the situations to detect, and uses them to automatically generate CEP rules. The paper introduces three main contributions. It provides a precise definition for the problem of automated CEP rules generation. It dicusses a general approach to this research challenge that builds on three fundamental pillars: decomposition into subproblems, modularity of solutions, and ad-hoc learning algorithms. It provides a concrete implementation of this approach, the iCEP framework, and evaluates its precision in a broad range of situations, using both synthetic benchmarks and real traces from a traffic monitoring scenario.
Starting Page	47
Ending Page	58
Page Count	12
File Format	PDF
ISBN	9781450327374
DOI	10.1145/2611286.2611289
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-05-26
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Learning Complex event processing Rule generation
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Learning from the past: Automated rule generation for complex event processing (2014)

Towards automated rule learning for complex event processing (2013)

Complex event processing for the non-expert with autoCEP: demo

Automatic learning of predictive rules for complex event processing: doctoral symposium

User-oriented rule management for event-based applications

Automatic Learning of Predictive CEP Rules: Bridging the Gap between Data Mining and Complex Event Processing

Automated Query Generation for Complex Event Processing: A Shapelets, Parallel Coordinates, and Clustering Based Approach

An approach for iterative event pattern recommendation

An adaptive event stream processing environment

Learning from the past: automated rule generation for complex event processing

Similar Documents

Learning from the past: Automated rule generation for complex event processing (2014)

Towards automated rule learning for complex event processing (2013)

Complex event processing for the non-expert with autoCEP: demo

Automatic learning of predictive rules for complex event processing: doctoral symposium

User-oriented rule management for event-based applications

Automatic Learning of Predictive CEP Rules: Bridging the Gap between Data Mining and Complex Event Processing

Automated Query Generation for Complex Event Processing: A Shapelets, Parallel Coordinates, and Clustering Based Approach

An approach for iterative event pattern recommendation

An adaptive event stream processing environment

Learning from the past: automated rule generation for complex event processing