Lifecycle management of service-based applications on multi-clouds

Baryannis, George; Garefalakis, Panagiotis; Kritikos, Kyriakos; Magoutis, Kostas; Papaioannou, Antonis; Plexousakis, Dimitris; Zeginis, Chrysostomos

doi:10.1145/2462326.2462331

Cited by 28 publications

(21 citation statements)

References 13 publications

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“…This case concerns the design of a real-world traffic management application [Baryannis et al 2013] that regulates traffic at particular areas of a city. This application comprises the following three main tasks:…”

Section: Use Casementioning

confidence: 99%

Owards Semantic-Based Cloud Application Management

Kritikos¹,

Plexousakis²

2015

STCC

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Cloud computing promises to transform applications and services on the web into elastic and fault-tolerant software. To aid at this target, various research prototypes and products have been already proposed. However, especially with respect to the design phase of cloud-based applications, such prototypes do not enable the appropriate composition of cloud services at different levels to realise not only the functionality but also the underlying infrastructure support for such applications. Moreover, most existing prototypes and products lack the appropriate semantics to guarantee that the respective design product is the most suitable and accurate one according to the various types of user requirements posed. To this end, this article proposes a semantic cloud application management framework that addresses the aforementioned issues by relying on ontologies to semantically describe cloud service capabilities and application requirements, on semantic cloud service matchmakers considering both functional and non-functional aspects as well as on a novel cloud service composition approach which is able to perform concurrently service concretisation and deployment plan reasoning, thus catering for the different levels involved in a cloud environment and their respective dependencies by also satisfying all types of user requirements posed. The service composition approach is experimentally evaluated deriving quite promising results indicating that the state-of-the-art is advanced.

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Section: Use Casementioning

confidence: 99%

Owards Semantic-Based Cloud Application Management

Kritikos¹,

Plexousakis²

2015

STCC

Self Cite

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“…While sensor networks are more usually thought of as computer accessible networks of distributed devices using sensors to monitor continually varying conditions at different locations [4] (Fig. 3), there are clear similarities with our own problem domain, which requires the monitoring of multiple distributed information sources on a cloud application platform in order to support self-management.…”

Section: Figmentioning

confidence: 99%

“…Maintaining application systems hosted on different clouds is a challenging task [4], and prompt run-time monitoring of the kind envisaged here may be a solution to this problem. There are novel ways of (partially) eliminating borders between clouds by establishing, for example, virtual networks between VMs hosted on different platforms [22].…”

Section: Summary and Concluding Remarksmentioning

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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“…Its adoption in the Service Oriented Architecture (SOA) world is increasing; enterprises acknowledge its flexibility and elasticity by choosing among various offerings at all Cloud layers (IaaS, PaaS and SaaS). In addition, as developers try to optimize their application deployment cost and performance, they may also deploy application parts on multiple VMs [1].…”

Section: Introductionmentioning

confidence: 99%