A situation refinement model for complex event processing

Alakari, Alaa; Li, Kin Fun; Gebali, Fayez

doi:10.1016/j.knosys.2020.105881

Cited by 6 publications

(5 citation statements)

References 124 publications

(253 reference statements)

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“…Let's make a comparative analysis of the described schemes for working with events according to the following criteria [12]:  Support for working with working nodes with different amounts of resources;  Level of support for accounting for the frequency of operation of handler rules; …”

Section: Comparison Of Approachesmentioning

confidence: 99%

“…The novelty of this work is the study of the applied use of scaling approaches in systems for processing complex events in real time.The solutions presented in this paper are explicitly tailored to large scale distributed scenarios. They try to take into account the topology of the processing network as well as the location of event sources and their generation rates [8].…”

Section: Introductionmentioning

confidence: 99%

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Deployment Approaches in Distributed Complex Event Processing

Zorin,

Chernetskaya

2023

Proceedings of ISP RAS

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Big Data technologies have traditionally focused on processing human-generated data, while neglecting the vast amounts of data generated by Machine-to-Machine (M2M) interactions and Internet-of-Things (IoT) platforms. These interactions generate real-time data streams that are highly structured, often in the form of a series of event occurrences. In this paper, we aim to provide a comprehensive overview of the main research issues in Complex Event Processing (CEP) techniques, with a special focus on optimizing the distribution of event handlers between working nodes. We introduce and compare different deployment strategies for CEP event handlers. These strategies define how the event handlers are distributed over different working nodes. In this paper we consider the distributed approach, because it ensures, that the event handlers are scalable, fault-tolerant, and can handle large volumes of data.

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Section: Comparison Of Approachesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Deployment Approaches in Distributed Complex Event Processing

Zorin,

Chernetskaya

2023

Proceedings of ISP RAS

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“…These templates provide a level of abstraction to the actual data, as they specify the target sequences based on pairs of measurement values and constraints on those values. A CEP engine then searches for these patterns in the data stream [89]. In the context of food analysis, however, it is not sufficient to find only exact matches but also reasonably good matches.…”

Section: Food Analysismentioning

confidence: 99%

Protecting Sensitive Data in the Information Age: State of the Art and Future Prospects

et al. 2022

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The present information age is characterized by an ever-increasing digitalization. Smart devices quantify our entire lives. These collected data provide the foundation for data-driven services called smart services. They are able to adapt to a given context and thus tailor their functionalities to the user’s needs. It is therefore not surprising that their main resource, namely data, is nowadays a valuable commodity that can also be traded. However, this trend does not only have positive sides, as the gathered data reveal a lot of information about various data subjects. To prevent uncontrolled insights into private or confidential matters, data protection laws restrict the processing of sensitive data. One key factor in this regard is user-friendly privacy mechanisms. In this paper, we therefore assess current state-of-the-art privacy mechanisms. To this end, we initially identify forms of data processing applied by smart services. We then discuss privacy mechanisms suited for these use cases. Our findings reveal that current state-of-the-art privacy mechanisms provide good protection in principle, but there is no compelling one-size-fits-all privacy approach. This leads to further questions regarding the practicality of these mechanisms, which we present in the form of seven thought-provoking propositions.

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“…The process of identifying complex patterns in CEP faces with a number of challenges such as the manual and complexity of writing pattern rules and the requirement to get and process background data while considering the event stream's real-time constraints. According to Alakari et al [108], three major obstacles must be overcome in order to develop an efficient rule mining method for fine-tuning the CEP pattern to identify situation of interest…”

Section: Integration Of Cep and Ml/dlmentioning

confidence: 99%

Complex event processing for physical and cyber security in datacentres - recent progress, challenges and recommendations

et al. 2022

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A datacentre stores information and manages data access in fast and reliable manner. Failure of datacentre operation is not an option and can be catastrophic. Internet of things (IoT) devices in datacentre can automate management tasks and reduce human intervention and error. IoT devices can be used to manage many datacentre routine tasks such as monitoring physical infrastructure, updating software and configuration, monitoring network traffic, and automating alerting reports to respective authorities. The physical and cyber security of the datacentre can be handled by IoT technology by intrusion detection methods. By 2025, more than 25 billion things will be connected to the internet network, therefore massive data will be generated by different heterogeneous sources, and powerful processing engines such as complex event processing (CEP) are needed to handle such a fast and continuous stream of big data. The integration of machine learning (ML) and deep learning (DL) can enhance CEP by introducing new features such as automated rule extraction and self-healing mechanism. This study aims to provide an overview of CEP, as well as its features and potential for integration with IoT applications and ML/DL techniques. We provide a review of recent research works to highlight the capability and applicability of CEP technology to monitor physical facilities and cyber security in detail. This review also highlights several issues and challenges, and provides suggestions for future research. The highlighted insights and recommendations in this paper could raise efforts toward the development of future datacentres based on CEP technology.

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A situation refinement model for complex event processing

Cited by 6 publications

References 124 publications

Deployment Approaches in Distributed Complex Event Processing

Deployment Approaches in Distributed Complex Event Processing

Protecting Sensitive Data in the Information Age: State of the Art and Future Prospects

Complex event processing for physical and cyber security in datacentres - recent progress, challenges and recommendations

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