Software Co-development in the Era of Cloud Application Platforms and Ecosystems: The Case of CAST

Kourtesis, Dimitrios; Bratanis, Konstantinos; Bibikas, Dimitris; Paraskakis, Iraklis

doi:10.1007/978-3-642-32775-9_20

Cited by 13 publications

(9 citation statements)

References 5 publications

(4 reference statements)

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“…The clustering of the cloud platforms has been primarily based upon the adopted technologies and the provisioning of additional platform services either natively or via a service marketplace. From earlier surveys and reports [7], [8], [9], [10], [11], [12], [13] we find that cloud platform solutions can be clustered into three broad categories:…”

Section: Clustering Of Cloud Platformsmentioning

confidence: 97%

“…Cloud application platforms [1] are becoming increasingly popular and have the potential to change the way applications are developed, involving compositions of platform basic services. A platform basic service, in the Platform as a Service level (PaaS), can be considered as a piece of software which offers certain functionality and is reusable.…”

Section: Introductionmentioning

confidence: 99%

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

Gonidis

Paraskakis

Simons

2014

Lecture Notes in Computer Science

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Abstract. The wide exploitation of cloud resources has been hindered by the diversity on the provision of these resources and thus resulting in heterogeneity between them. Research efforts on the design of cloud applications, leveraging resources form heterogeneous cloud environments, have been concentrated on traditional cloud platform resources such as deployment capabilities and data stores. However, the emergence of the cloud application platforms has made available a wide range of platform basic services (e.g. e-mail, message queue and authentication service) that can drastically decrease the application development time. Our work focuses on eliminating the heterogeneity among the providers offering those services. To this end we propose an ontologydriven framework, which facilitates the seamless and transparent use of platform basic services provisioned by multiple clouds environments. Ontologies are leveraged to enable the homogeneous description of the functionality of the service providers.

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Section: Clustering Of Cloud Platformsmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

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

Gonidis

Paraskakis

Simons

2014

Lecture Notes in Computer Science

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“…It is our belief that self-management at the PaaS level is equally important, and development of self-adaptation mechanisms at the this level is essential in order to prevent cloud platforms from dissolving into "tangled" and unreliable environments. Our research therefore targets the PaaS, and more specifically the Application-Platform-as-a-Service (aPaaS) level of cloud computing [18]-a cluster of cloud platforms, which extend the default functionality offered to customers, such as an operating system and execution environment, with a selection of generic re-usable services and tools to create applications and have them deployed and executed in a cloud environment. 6 We adopt the viewpoint of a supplier offering its customers a range of built-in or third-party services (whose behaviour we cannot easily change), and ask how best to monitor and manage their life-cycles.…”

Section: Self-management At the Paas Levelmentioning

confidence: 99%

Towards a framework for monitoring cloud application platforms as sensor networks

2014

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With the continued growth in software environments on cloud application platforms, self-management at the Platform-as-a-Service (PaaS) level has become a pressing concern, and the run-time monitoring, analysis and detection of critical situations are all fundamental requirements if we are to achieve autonomic behaviour in complex PaaS environments. In this paper we focus on cloud application platforms offering their customers a range of generic built-in re-usable services. By identifying key characteristics of these complex dynamic systems, we compare cloud application platforms to distributed sensor networks, and investigate the viability of exploiting these similarities with a case study. We treat cloud data storage services as "virtual" sensors constantly emitting monitoring data, such as numbers of connections and storage space availability, which are then analysed by the central component of a monitoring framework so as to detect and react to SLA violations. We discuss the potential benefits, as well as some shortcomings, of adopting this approach.

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“…Such cloud platforms, which not only provision customers with an operating system and run-time environment, but additionally offer a complete supporting environment to develop and deploy service-based applications, including a range of generic, reliable, composable and reusable services, are known as cloud application platforms (CAPs) [5,6] (see Figure 1). By offering integrated services in this way, CAPs further reduce the human effort and capital expenses associated with developing complex software systems.…”

Section: Background and Motivationmentioning

confidence: 99%

Utilising stream reasoning techniques to underpin an autonomous framework for cloud application platforms

2014

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As cloud application platforms (CAPs) are reaching the stage where the human effort required to maintain them at an operational level is unsupportable, one of the major challenges faced by the cloud providers is to develop appropriate mechanisms for run-time monitoring and adaptation, to prevent cloud application platforms from quickly dissolving into a non-reliable environment. In this context, the application of intelligent approaches to Autonomic Clouds may offer promising opportunities. In this paper we present an approach to providing cloud platforms with autonomic capabilities, utilising techniques from the Semantic Web and Stream Reasoning research fields. The main idea of this approach is to encode values, monitored within cloud application platforms, using Semantic Web languages, which then allows us to integrate semantically-enriched observation streams with static ontological knowledge and apply intelligent reasoning. Using such run-time reasoning capabilities, we have developed a conceptual architecture for an autonomous framework and describe a prototype solution we have constructed which implements this architecture. Our prototype is able to perform analysis and failure diagnosis, and suggest further adaptation actions. We report our experience in utilising the Stream Reasoning technique in this context as well as further challenges that arise out of our work.

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Software Co-development in the Era of Cloud Application Platforms and Ecosystems: The Case of CAST

Cited by 13 publications

References 5 publications

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

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

Towards a framework for monitoring cloud application platforms as sensor networks

Utilising stream reasoning techniques to underpin an autonomous framework for cloud application platforms

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