Building a Mosaic of Clouds

Martino, Beniamino Di; Petcu, Dana; Cossu, R.; Gonçalves, Pedro; Máhr, Tamás; Loichate, Miguel

doi:10.1007/978-3-642-21878-1_70

Cited by 67 publications

(34 citation statements)

References 7 publications

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“…Various efforts have been recently oriented to try devising systematic approaches to reuse cloud applications. For instance, [23] and [20] propose two approaches to transform platform-agnostic source code of applications into platformspecific applications, provided that they developed according to model-driven methodologies. In contrast, our approach does not restrict to applications developed with a specific methodology, nor it requires the availability of applications' source code, and it is hence applicable also to non open-source, third-party services.…”

Section: Related Workmentioning

confidence: 99%

ToscaMart: A method for adapting and reusing cloud applications

Soldani

Binz

Breitenbücher

et al. 2016

Journal of Systems and Software

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To fully appreciate cloud computing powers, design and development of cloud applications should be eased and supported. The OASIS TOSCA standard enables developers to design and develop cloud applications by specifying their topologies as orchestrations of typed nodes and relationships. However, building such application topologies often results in reinventing the wheel multiple times when similar solutions are manually created for different applications by different developers having the same requirements. Thus, the reusability of existing TOSCA solutions is crucial to ease and support design and development processes. In this paper, we tackle this issue. We introduce TOSCA-MART, a method that enables deriving valid implementations for custom components from a repository of complete and validated cloud applications. The method enables developers to specify individual components in their application topologies, and illustrates how to match, adapt, and reuse existing (fragments of) applications to implement these components while fulfilling all their compliance requirements. We also characterize and validate TOSCA-MART by means of a prototypical implementation based on an open source toolchain and a case study.

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Section: Related Workmentioning

confidence: 99%

ToscaMart: A method for adapting and reusing cloud applications

Soldani

Binz

Breitenbücher

et al. 2016

Journal of Systems and Software

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“…The DIR contains multiple infrastructure mappings for specific DUs, allowing flexible provisioning using different configuration management solutions, such as Chef recipes for use with OpsCode Chef 5 or Amazon OpsWorks 6 , or Puppet manifests for use with Puppet 7 . Additionally, the DIR manages application deployment orchestration using provider-independent communication facilities, such as [34], [35], Apache jClouds 8 , or fog 9 to minimize the risks of vendor lock-in.…”

Section: Deployment Unitsmentioning

confidence: 99%

MADCAT: A Methodology for Architecture and Deployment of Cloud Application Topologies

Inzinger

Nastić

Sehic

et al. 2014

2014 IEEE 8th International Symposium on Service Oriented System Engineering

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Abstract-The cloud computing paradigm introduces new possibilities and challenges for application design and deployment. On-demand resource provisioning, as well as resource and cost elasticity, need to be considered when realizing largescale distributed applications for cloud environments. Current approaches do not sufficiently address the challenges of efficiently architecting and deploying cloud applications in a holistic manner and do not deal with the specific challenges encountered in cloud infrastructures. In this paper we introduce a methodology tackling the practical problems encountered when designing and deploying cloud applications. It enables the structured creation of cloud-native applications, addressing the complete application development lifecycle, from architectural design to concrete deployment topologies provisioned and executed on cloud infrastructure. By using iterative refinement and seamless provenance documentation of decisions made in the process, the methodology eases communication with relevant stakeholders and enables efficient design and deployment of distributed cloud applications.

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“…Since the scope of Grid resources description and contracts (terms of collaboration) is likely to evolve over time, one of the main assumptions of the AiG system is to use (everywhere) ontologies and semantic data processing, as a flexible and easily extendable knowledge representation. Therefore, we have modified the CoreGrid ontology (see [28]) to develop the AiG Grid ontology, extended by ontologies needed for contract negotiations (for details see [20]). In [19] we have assumed that the proposed agent-semantic system will be based on the following tenets (for more details see also the discussion in [15]):…”

Section: Agents In Gridmentioning

confidence: 99%

“…This ontology is extending the existing AiG ontologies [20] and, as a starting point, is focused on computational linear algebra. The main goal of the ontology is to provide concepts necessary to capture three key aspects of the selected domain: (i) problems to be solved, (ii) algorithms to solve them, (iii) objects that these algorithms operate on.…”

Section: Domain Ontologymentioning

confidence: 99%

Applying Saaty’s Multicriterial Decision Making Approach in Grid Resource Management

Wasielewska

Ganzha

Paprzycki

et al. 2014

ITC

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Abstract. In this paper we consider combining ontologically represented information with Saaty's Analytic Hierarchy Process (AHP ) to facilitate decision support for Grid users. The context for the proposal is provided by the Agents in Grid project (AiG), which aims at development of an agent-based infrastructure for efficient resource management in the Grid. In the AiG project, agents form teams, managers of which negotiate with clients and workers terms of potential collaboration. Here, we focus on the scenario, in which the user is searching for resources to execute a task, while the resources and the expert domain knowledge are organized in an ontology. Taking into account the complex nature of resource description and domain knowledge, multicriterial assessment of how accurate is the user description of her needs, and how it can be extended/refined, plays a crucial role. For instance, it should help the user to choose optimal algorithm and/or resource to solve her problem. Furthermore, ontologically described contract proposals, that are the results of autonomous negotiations, require multicriterial assessment. The AHP method is based on pairwise comparisons of criteria, and relies on the judgment of a panel of experts. In the context of the AiG project, we show on the example of the AHP method, how multicriteria group decision making can be used to support user in resource selection and assessment of contract proposals.

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Building a Mosaic of Clouds

Cited by 67 publications

References 7 publications

ToscaMart: A method for adapting and reusing cloud applications

ToscaMart: A method for adapting and reusing cloud applications

MADCAT: A Methodology for Architecture and Deployment of Cloud Application Topologies

Applying Saaty’s Multicriterial Decision Making Approach in Grid Resource Management

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