Standards for Complex Event Processing and Reaction Rules

Paschke, Adrian; Vincent, Paul; Springer, Florian

doi:10.1007/978-3-642-24908-2_17

Cited by 15 publications

(3 citation statements)

References 10 publications

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“…We will also study the integration of a low-level context layer in our platform, which will process the available sensor data and feed the rule-based reasoning algorithms with appropriate values for the higher-level predicates. For this layer, we will investigate the Complex Event Processing (CEP ) methodology [24], which combines data from multiple sources to infer higher-level conclusions, and we will build on top of previous works that study the integration of CEP and reaction rules [25]. We will test and evaluate all our deployments and extensions to our platform in the Internet of Things Laboratory of the Interdisciplinary Centre for Security, Reliability and Trust (SnT) in Luxembourg.…”

Section: Resultsmentioning

confidence: 99%

A Rule-Based Contextual Reasoning Platform for Ambient Intelligence Environments

Moawad

Bikakis

Caire

et al. 2013

Theory, Practice, and Applications of Rules on the Web

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Abstract. The special characteristics and requirements of intelligent environments impose several challenges to the reasoning processes of Ambient Intelligence systems. Such systems must enable heterogeneous entities operating in open and dynamic environments to collectively reason with imperfect context information. Previously we introduced Contextual Defeasible Logic (CDL) as a contextual reasoning model that addresses most of these challenges using the concepts of context, mappings and contextual preferences. In this paper, we present a platform integrating CDL with Kevoree, a component-based software framework for Dynamically Adaptive Systems. We explain how the capabilities of Kevoree are exploited to overcome several technical issues, such as communication, information exchange and detection, and explain how the reasoning methods may be further extended. We illustrate our approach with a running example from Ambient Assisted Living.

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Section: Resultsmentioning

confidence: 99%

A Rule-Based Contextual Reasoning Platform for Ambient Intelligence Environments

Moawad

Bikakis

Caire

et al. 2013

Theory, Practice, and Applications of Rules on the Web

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“…DDS' main benefits are: low coupling between entities, high performance, dynamic scalability, deterministic data delivery, and high parameterized Quality of Service (QoS). x A component for Complex Event Processing (CEP) [30][31] [42] in combination with an adapted Event Processing Language (EPL). These technologies allow SPEEDs to identify and react to patterns in real time, despite the large amount of data to be processed.…”

Section: Technologies: Speed Nodesmentioning

confidence: 99%

Self-Balancing Distributed Energy in Power Grids: An Architecture Based on Autonomic Computing

Pérez

Díaz

Vidal

et al. 2014

2014 47th Hawaii International Conference on System Sciences

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The management of distributed and intermittent energy generation is a critical challenge within the power domain. This challenge has emerged due to the increase of distributed and renewable energy resources in power networks. Smart Grids are a solution to integrate intermittent and dispersed renewable energy and to increase energy efficiency through the introduction of Information and Communication Technologies. However, Smart Grids require new and innovative models, and software architectures that enable Smart Grids to operate in an intelligent and self-managing way. To deal with the intelligent operation of power grids, this paper presents a reference architecture for autonomic power grids. Specifically, this paper focuses on the capability of self-balancing distributed and intermittent energy. It illustrates how this self-balancing capability is implemented and its usefulness for a scenario of a microgrid located in a real setting, in the south of the Spanish region of Ciudad Real.

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“…This can be done by users setting up business sensors to automatically collect data/signals from the environment, integrating disparate data sources to collectively detect trends and patterns cannot be discovered through each individual source alone (Solano, Ekwaro-Osire, & Tanik, 2012). Furthermore, IS can be operated in a way that helps the users perform inferences and make timesensitive decisions on appropriate courses of action (Paschke, Vincent, & Springer, 2011;J. Schiefer & Seufert, 2005), which can improve the speed of response to counter threats or reap opportunities.…”

Section: Ops Agilitymentioning

confidence: 99%

In A Quest to Solve Information System Agility Problems : A SaaS Experience

Yang¹

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<p>Change is endemic in modern business competition. In an age of globalisation, with the rapid development of information technologies (IT), changes occur at a much faster pace, and are also more unpredictable. Being agile in a turbulent environment has been ranked highly by executives in surveys of business issues conducted in past five years. Today nearly all organisations rely on information systems (IS) to operate. IS Agility is critical in achieving overall agility and performance in business. However, despite the strong interest from the practitioner community, IS Agility in academia has often been perceived as an overly abstract concept that is difficult to study. Resultantly, despite its importance, little has been published on how to systematically solve IS Agility problems with theoretical rigour and practical relevance. This “how to” question is a challenging one to researchers and is the major motivation of the present study. A key difficulty to study IS Agility is the lack of a solid conceptualisation. In this thesis, based on a multidisciplinary literature review looking for a unified theory of IS Agility, we proposed the IS Agility Nomological Network (ISANN) as a holistic conceptualisation to be used for problem solving. Such a conceptualisation includes an IS Agility Cycle illustrating four stages (i.e. Sense, Diagnose, Select, and Execute) of the dynamic interactions between IS and its human agents (e.g. IS users and IS developers), a decision tree presenting four main IS Agility drivers (i.e. Change Frequency, Uncertainty, Information Intensity, and Time Criticality), and a pyramid incorporating four IS Agility Providers (i.e. Agile System-Development, Agile-System Architecture, Agile System-Operation, and Agile-System Configuration ). We classify IS Agility as having at least two sides, Dev Agility and Ops Agility. The former represents the agility of IS development function while the later refers to the IS operation function. We believe they are not the same, as agility in system development process doesn’t necessarily translate to agility in the resulting system operation. To be able to answer the “how to” question and design a systematic problem-solving approach, we then operationalised ISANN by developing data and task models in real-world settings. These models were used to investigate and analyse IS Agility problems faced by Software as a Service (SaaS) adopters. Such a SaaS environment, due to its multi-tenancy nature, provides a great opportunity to observe the interactions and trade-offs between Dev Agility (e.g. stories from engineers and developers) and Ops Agility (e.g. stories from operators and users), as well as an abundant source of IS Agility related business problems. Eventually, more elements and factors emerged from this SaaS practice and were merged into the final artefact created in this study: ISACAM (Information System Agility Causation Analysis Method). ISACAM incorporates all the dimensions and facts derived from the theoretical conceptualisation and the ongoing real-world problem-solving practice. The effectiveness of ISACAM in solving IS Agility problems has been observed through improved performance in real-life businesses. Furthermore, five technological rules have been synthesised to offer a prescription for designing solutions to improve IS Agility.</p>

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Standards for Complex Event Processing and Reaction Rules

Cited by 15 publications

References 10 publications

A Rule-Based Contextual Reasoning Platform for Ambient Intelligence Environments

A Rule-Based Contextual Reasoning Platform for Ambient Intelligence Environments

Self-Balancing Distributed Energy in Power Grids: An Architecture Based on Autonomic Computing

In A Quest to Solve Information System Agility Problems : A SaaS Experience

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