On the Role of Ontologies in the Design of Service Based Cloud Applications

Gonidis, Fotis; Paraskakis, Iraklis; Simons, Anthony J. H.

doi:10.1007/978-3-319-14313-2_1

Cited by 6 publications

(3 citation statements)

References 13 publications

(13 reference statements)

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“…In [15], the authors present an ontology-driven platform for using and integrating the services provided by various cloud environments. The proposed framework may also be used to describe the functionality of given services by making use of ontological concepts, looking for other services from target providers to generate client adapters to use the required services.…”

Section: Related Workmentioning

confidence: 99%

“…An ontology learning-based framework to address scalability issues in parallel computing is presented in [14]. Similarly, an ontology-drive solution for cloud service handling and discovery is presented in [15,16]. In [17], the authors present an ontology editor (i.e., ONTOLIS) that can be used for concept mapping and inferencing for better content coverage in Big Data and HPC courses.…”

Section: Introductionmentioning

confidence: 99%

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Ontology Design for Solving Computationally-Intensive Problems on Heterogeneous Architectures

et al. 2018

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Viewing a computationally-intensive problem as a self-contained challenge with its own hardware, software and scheduling strategies is an approach that should be investigated. We might suggest assigning heterogeneous hardware architectures to solve a problem, while parallel computing paradigms may play an important role in writing efficient code to solve the problem; moreover, the scheduling strategies may be examined as a possible solution. Depending on the problem complexity, finding the best possible solution using an integrated infrastructure of hardware, software and scheduling strategy can be a complex job. Developing and using ontologies and reasoning techniques play a significant role in reducing the complexity of identifying the components of such integrated infrastructures. Undertaking reasoning and inferencing regarding the domain concepts can help to find the best possible solution through a combination of hardware, software and scheduling strategies. In this paper, we present an ontology and show how we can use it to solve computationally-intensive problems from various domains. As a potential use for the idea, we present examples from the bioinformatics domain. Validation by using problems from the Elastic Optical Network domain has demonstrated the flexibility of the suggested ontology and its suitability for use with any other computationally-intensive problem domain.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Ontology Design for Solving Computationally-Intensive Problems on Heterogeneous Architectures

et al. 2018

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“…Further information about the code generation can be found in [26]. Therefore the application developers can seamlessly deploy the platform service providers without being required to adhere to the specific web APIs or manually implement the client for each individual API.…”

Section: Execution Phasementioning

confidence: 99%

Leveraging Platform Basic Services in Cloud Application Platforms for the Development of Cloud Applications

Gonidis¹,

Paraskakis²,

Simons

2014

2014 IEEE 6th International Conference on Cloud Computing Technology and Science

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AbstractÑ Cloud application platforms gain popularity and have the potential to alter the way service based cloud applications are developed involving utilisation of platform basic services. A platform basic service is considered as a piece of software, which provides certain functionality and is usually offered via a web API. However, the proliferation and diversification of platform basic services and the available providers increase the challenge for the application developers to integrate them and deal with the heterogeneous providersÕ web APIs. Therefore, a new approach of developing applications should be adopted in which developers leverage multiple platform basic services independently from the target application platforms. To this end, this paper presents a development framework assisting the design of service based cloud applications. The objective of the framework is to enable the consistent integration of the platform services, and to allow the seamless use of the concrete providers by alleviating the heterogeneities among them. The core components of the framework are the reference meta-model, which facilitates the modelling of the platform services and an ontologydriven architecture enabling the description and the abstraction of the providersÕ specific web APIs.

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Ontological and Algebra-Algorithmic Tools for Automated Design of Parallel Programs for Cloud Platforms

2017

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On the Role of Ontologies in the Design of Service Based Cloud Applications

Cited by 6 publications

References 13 publications

Ontology Design for Solving Computationally-Intensive Problems on Heterogeneous Architectures

Ontology Design for Solving Computationally-Intensive Problems on Heterogeneous Architectures

Leveraging Platform Basic Services in Cloud Application Platforms for the Development of Cloud Applications

Ontological and Algebra-Algorithmic Tools for Automated Design of Parallel Programs for Cloud Platforms

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