Large-scale, situation-driven and quality-aware event marketplace

Stühmer, Roland; Stojanović, Nenad

doi:10.1145/2002259.2002332

Cited by 4 publications

(3 citation statements)

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“…In this scenario, we consider an event marketplace that brings together providers of event streams, providers of realtime processing services and providers of services for event consumption, e.g., notification and visualizations [4]. Platform users can register stream offerings, e.g.…”

Section: Motivating Scenariomentioning

confidence: 99%

SEPP: Semantics-Based Management of Fast Data Streams

Riemer

Stojanović

2014

2014 IEEE 7th International Conference on Service-Oriented Computing and Applications

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Abstract-In the era of big data processing there is an emerging need for methodologies supporting the management of data-intensive application scenarios. Complex Event Processing is an integral part of many fast data application as an underlying technology for event correlation and pattern detection. Increased volume of event streams as well as the demand for more complex real-time analytics require for execution of processing pipelines among heterogeneous event processing engines. In this paper, we propose a semantic model for the management of fast data streams using the concept of Semantic Event Processing Pipelines (SEPP). We provide methodology, architecture and language for semantic discovery and binding of real-time processing services from arbitrary stream processing engines. Our approach aims to improve reusability of real-time processing services by providing high-level interfaces to stream processing implementations. By these means this work paves the way for an easier development and management of real-time big data applications.

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Section: Motivating Scenariomentioning

confidence: 99%

SEPP: Semantics-Based Management of Fast Data Streams

Riemer

Stojanović

2014

2014 IEEE 7th International Conference on Service-Oriented Computing and Applications

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“…[1]. Context detection is considered important in the so-called event marketplaces [2] (see e.g., http://pachube.com, a platform offering a service based architecture, a range of graphing and visualization tools, event detection via triggers, along with costeffective data storage) for enhancing the user's experience when interacting with the event marketplace.…”

Section: Introductionmentioning

confidence: 99%

Context Management in Event Marketplaces

Verginadis

Patiniotakis

Papageorgiou

et al. 2015

Lecture Notes in Computer Science

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Abstract. This paper refers to methods and tools for enabling context detection and management based on events. We propose a context model that builds on top of previous efforts and we give details about the mechanisms developed for context detection in event marketplaces. In addition, we show how simple or complex events can be used in combination with external services in order to derive higher level context with the use of Situation-Action-Networks (SANs). Specifically, we present two different approaches, one for detecting low level context and another one for deriving higher-level contextual information using SANs. We present an illustrative scenario for demonstrating the process of specialization of our generic context model and its instantiation based on realtime events.

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“…The drastic increase in the amount of event sources and subscription possibilities requires efficient utilization of active capability in order to conserve network, memory and processing power associated with rule processing, event handling and maintaining of subscriptions. The cost of maintaining subscriptions and receiving event notifications may become an issue in the future with the emergence of so-called event marketplaces [1] (see e.g., http://cosm.com).…”

Section: Introductionmentioning

confidence: 99%

A goal driven dynamic event subscription approach

Verginadis

Papageorgiou

Patiniotakis

et al. 2012

Proceedings of the 6th ACM International Conference on Distributed Event-Based Systems

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As the Internet of Things gained momentum for leveraging and offering information access to service-based applications and users, a number of new challenges have been identified in terms of efficiently publishing, subscribing, processing and reacting to events. This work focuses on the challenge of enabling efficient active capability in large, distributed event infrastructures such as so-called 'event marketplaces'. We present a goal-driven, ECAbased hierarchical model, called Situation-Action-Network (SAN) and we implement and evaluate the Event Subscription Recommender (ESR) software that uses SANs in order to produce dynamically new event subscriptions based on detected situations.

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Large-scale, situation-driven and quality-aware event marketplace

Cited by 4 publications

References 0 publications

SEPP: Semantics-Based Management of Fast Data Streams

SEPP: Semantics-Based Management of Fast Data Streams

Context Management in Event Marketplaces

A goal driven dynamic event subscription approach

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