QoS-Aware Complex Event Service Composition and Optimization Using Genetic Algorithms

Gao, Feng; Curry, Edward; Ali, Muhammad Intizar; Bhiri, Sami; Mileo, Alessandra

doi:10.1007/978-3-662-45391-9_28

Cited by 18 publications

(12 citation statements)

References 7 publications

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“…Also, the requested service type (ces:TrafficReportService) is an exact match for the service type in Listing 2, making the service described in Listing 2 a matching service candidate for the request. When the discovery component finds all candidate services suitable for the request, a Simple-Additive-Weighting algorithm [55] is used to rank the service candidates based on q d , q r and pref.…”

Section: Sensors Streams Discoverymentioning

confidence: 99%

Observing the Pulse of a City: A Smart City Framework for Real-Time Discovery, Federation, and Aggregation of Data Streams

Kolozali

Bermúdez-Edo

Farajidavar

et al. 2019

IEEE Internet Things J.

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An increasing number of cities are confronted with challenges resulting from the rapid urbanisation and new demands that a rapidly growing digital economy imposes on current applications and information systems. Smart city applications enable city authorities to monitor, manage and provide plans for public resources and infrastructures in city environments, while offering citizens and businesses to develop and use intelligent services in cities. However, providing such smart city applications gives rise to several issues such as semantic heterogeneity and trustworthiness of data sources, and extracting up-to-date information in real time from large-scale dynamic data streams. In order to address these issues, we propose a novel framework with an efficient semantic data processing pipeline, allowing for real-time observation of the pulse of a city. The proposed framework enables efficient semantic integration of data streams and complex event processing on top of real-time data aggregation and quality analysis in a Semantic Web environment. To evaluate our system, we use real-time sensor observations that have been published via an open platform called Open Data Aarhus by the City of Aarhus. We examine the framework utilising Symbolic Aggregate Approximation to reduce the size of data streams, and perform quality analysis taking into account both single and multiple data streams. We also investigate the optimisation of the semantic data discovery and integration based on the proposed stream quality analysis and data aggregation techniques.

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Section: Sensors Streams Discoverymentioning

confidence: 99%

Observing the Pulse of a City: A Smart City Framework for Real-Time Discovery, Federation, and Aggregation of Data Streams

Kolozali

Bermúdez-Edo

Farajidavar

et al. 2019

IEEE Internet Things J.

Self Cite

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“…However, not all metrics supported by OWL-Q and not all composition patterns supported by WSSL are covered in existing work (e.g. [9,14,17,26,34]). To address this, we propose a set of generalised QoS aggregation functions, as shown in Table 2.…”

Section: Qos Aggregation For Composite Sbasmentioning

confidence: 99%

A specification-based QoS-aware design framework for service-based applications

Baryannis

Kritikos

Plexousakis

2017

SOCA

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Effective and accurate service discovery and composition rely on complete specifications of service behaviour, containing inputs and preconditions that are required before service execution, outputs, effects and ramifications of a successful execution and explanations for unsuccessful executions. The previously defined Web Service Specification Language (WSSL) relies on the fluent calculus formalism to produce such rich specifications for atomic and composite services. In this work, we propose further extensions that focus on the specification of QoS profiles, as well as partially observable service states. Additionally, a design framework for service-based applications is implemented based on WSSL, advancing state of the art by being the first service framework to simultaneously provide several desirable capabilities, such as supporting ramifications and partial observability, as well as non-determinism in composition schemas using heuristic encodings; providing explanations for unexpected behaviour; and QoS-awareness through goalbased techniques. These capabilities are illustrated through

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“…Instead, most reviewed ASC approaches only concentrate on one nonfunctional consideration, and the most widely studied nonfunctional consideration in ASC research is the QoS. Pure QoS-based service selection approaches, such as [27], [28], [31], [39], [71], [72], [77], [79], [80], [81], [91], [92], [93], [94], [95], [96], [97], and [98], only require the QoS information that is relevant to their available component services. Consequently, their SD formulation only needs to contain one composite tuple Q (QoS), and its child elements vary from approach to approach.…”

Section: Generic Tuple-based Sd Modelmentioning

confidence: 99%

An Overview and Classification of Service Description Approaches in Automated Service Composition Research

Fanjiang

Syu

et al. 2017

IEEE Trans. Serv. Comput.

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In recent years, automated service composition has been a fervid research area in service computing. Within this area, service description plays a crucial role in terms of the development of a diverse number of automation schemes. In this paper, we provide an investigation and classification of the service description approaches that have been used in a diverse collection of automated service composition studies. To position the service description approaches used in automated service composition throughout the service description world and to clearly classify them, we propose five two-value dimensions. Using the proposed dimensions, we first perform a categorization and provide a simple introduction to current representative industrial service description standards. Subsequently, because we discovered that most of the studied automated composition approaches follow a tuple-based service description paradigm, an exhaustive classification and discussion of this paradigm is made, with the automated composition approaches adopting this paradigm as an example. Finally, we discuss issues that are currently relevant to the service description field and possible solutions. With this study, the reader can obtain a complete understanding of service description approaches used in automated service composition research, including their common formulation and assumptions.

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QoS-Aware Complex Event Service Composition and Optimization Using Genetic Algorithms

Cited by 18 publications

References 7 publications

Observing the Pulse of a City: A Smart City Framework for Real-Time Discovery, Federation, and Aggregation of Data Streams

Observing the Pulse of a City: A Smart City Framework for Real-Time Discovery, Federation, and Aggregation of Data Streams

A specification-based QoS-aware design framework for service-based applications

An Overview and Classification of Service Description Approaches in Automated Service Composition Research

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