Using the mOSAIC's semantic engine to design and develop civil engineering cloud applications

Cretella, Giuseppina; Martino, Beniamino Di; Stankovski, Vlado

doi:10.1145/2428736.2428805

Cited by 6 publications

(3 citation statements)

References 5 publications

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“…In most cases, developers have to write their applications starting from scratch by using programming languages and APIs supported by the platform, which is usually generic and does not include a suitable domain‐specific support. In this scenario, the need for an agnostic machine readable representation of resources, service, and service levels requirements is extremely required to provide ontology‐based registries that can be used for dynamic discovery of cloud computing resource across various cloud computing platforms starting from queries that involves domain specific concepts .…”

Section: Needs and Methodology For A Semantic Based Support To Cloud mentioning

confidence: 99%

A semantic engine for porting applications to the cloud and among clouds

Cretella

Martino

2014

Softw Pract Exp

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In this paper, we present an engine based on semantic technologies aimed at supporting cloud applications developers, in the tasks of discovering functionalities, APIs, and resources needed for the application development through semantic based agnostic (vendor independent) representations of such application components, and representation of generic programming concepts and patterns, including application domain related ones. It handles, maintains, and exposes to the user in a graphical way the semantic descriptions of application domain concepts, application-related concepts, general design patterns and programming functionalities, specific API implementations and cloud resources, layering the knowledge base in four layers. The semantic engine is a component of the European project mOSAICs framework.The semantic engine architecture includes several modules ( Figure 2):The graphical interface supports the user in expressing the query in graphical mode and presents the results of the query to the user. It uses ontologies to build up a semantic query, represented by means of an internal graph-based representation.An important feature of the semantic engine is its capability to deduce an appropriate parameterized configuration of the cloud application and a generic description of needed IaaS resources. This feature is made possible by the execution of empirical rules that extensively use the semantic description of the application, particularly its design pattern and the description of the critical aspects of the application that need elasticity, such as computational and data complexity of its algorithm. The automatic reasoning feature of the semantic engine is extensively described and exemplified in [31]. In the following, we present a simple example of a rule that provides information on the needed properties of a Virtual Machine that hosts a Web server in a cloud application (Listing 1). This rule, based on the design logic of the application, in this case, a three-tier architectural pattern, and on information about the expected Visitors Peak, aims to provide information to the developer about the properties of the Virtual Machine that has to be acquired from an IaaS provider.The execution of such rules on the knowledge base results in a complete and generic description of the needed IaaS resources for the application. Listing 2 presents a part of such description.

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Section: Needs and Methodology For A Semantic Based Support To Cloud mentioning

confidence: 99%

A semantic engine for porting applications to the cloud and among clouds

Cretella

Martino

2014

Softw Pract Exp

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“…The European Project mO-SAIC [51] aimed at developing an API, platform and a set of tools to facilitate language and platform agnostic application development and deployment on a variety of Infrastructures as a Service offers. As part of mOSAIC, a tool called a Semantic Engine was developed [52], which is particularly useful for the development of the dashboard. The primary aim of the Semantic Engine is to support the Cloud application developer in the design, development and deployment of Cloud applications.…”

Section: E Mappingsmentioning

confidence: 99%

Workflows in a Dashboard: A New Generation of Usability

Gesing

Atkinson

Filgueira

et al. 2014

2014 9th Workshop on Workflows in Support of Large-Scale Science

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In the last 20 years quite a few mature workflow engines and workflow editors have been developed to support communities in managing workflows. While there is a trend followed by the providers of workflow engines to ease the creation of workflows tailored to their specific workflow system, the management tools still often necessitate much understanding of the workflow concepts and languages. This paper describes the approach targeting various workflow systems and building a single user interface for editing and monitoring workflows under consideration of aspects such as optimization and provenance of data. The design allots agile Web frameworks and novel technologies to build a workflow dashboard offered in a web browser and connecting seamlessly to available workflow systems and external resources like Cloud infrastructures. The user interface eliminates the need to become acquainted with diverse layouts. Thus, the usability is immensely increased for various aspects of managing workflows.

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“…Matlab-based Cloudlets were designed and are presented in further details in [90]. The use of Semantic Engine usage in the development phase of the application is exposed in [91].…”

Section: Proof-of-concept Scientific and Commercial Applicationsmentioning

confidence: 99%

Experiences in building a mOSAIC of clouds

Petcu

Martino

Venticinque

et al. 2013

J Cloud Comput Adv Syst Appl

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The diversity of Cloud computing services is challenging the application developers as various and non-standard interfaces are provided for these services. Few middleware solutions were developed until now to support the design, deployment and execution of service-independent applications as well as the management of resources from multiple Clouds. This paper focuses on one of these advanced middleware solutions, called mOSAIC. Written after the completion of its development, this paper presents an integrated overview of the mOSAIC approach and the use of its various software prototypes in a Cloud application development process. We are starting from the design concepts and arrive to various applications, as well as to the position versus similar initiatives.

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Using the mOSAIC's semantic engine to design and develop civil engineering cloud applications

Cited by 6 publications

References 5 publications

A semantic engine for porting applications to the cloud and among clouds

A semantic engine for porting applications to the cloud and among clouds

Workflows in a Dashboard: A New Generation of Usability

Experiences in building a mOSAIC of clouds

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