Cloud4SOA: A Semantic-Interoperability PaaS Solution for Multi-cloud Platform Management and Portability

Kamateri, Eleni; Λούτας, Νικόλαος; Zeginis, Dimitris; Ahtes, James; D'Andria, Francesco; Bocconi, Stefano; Gouvas, Panagiotis; Ledakis, Giannis; Ravagli, Franco; Lobunets, Oleksandr; Tarabanis, Konstantinos

doi:10.1007/978-3-642-40651-5_6

Cited by 49 publications

(40 citation statements)

References 9 publications

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“…This feature is still largely lacking from cloud brokerage solutions [26], although some efforts have started to surface, e.g. STRATOS [23], MODACloud [10], Cloud4SOA [15], mOSAIC [24], ARTIST [20], Broker@Cloud [22], and [6]. We conjecture that there is still a long way to go in terms of providing dynamic decision making that can effectively optimise deployment to the specific functional and non-functional requirements on a per-application basis.…”

Section: Application Management Frameworkmentioning

confidence: 99%

Daleel: Simplifying cloud instance selection using machine learning

Samreen

Elkhatib

Rowe

et al. 2016

NOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium

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Decision making in cloud environments is quite challenging due to the diversity in service offerings and pricing models, especially considering that the cloud market is an incredibly fast moving one. In addition, there are no hard and fast rules; each customer has a specific set of constraints (e.g. budget) and application requirements (e.g. minimum computational resources). Machine learning can help address some of the complicated decisions by carrying out customer-specific analytics to determine the most suitable instance type(s) and the most opportune time for starting or migrating instances. We employ machine learning techniques to develop an adaptive deployment policy, providing an optimal match between the customer demands and the available cloud service offerings. We provide an experimental study based on extensive set of job executions over a major public cloud infrastructure.

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Section: Application Management Frameworkmentioning

confidence: 99%

Daleel: Simplifying cloud instance selection using machine learning

Samreen

Elkhatib

Rowe

et al. 2016

NOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium

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“…Cloud4SOA [33] have proposed a dynamic negotiation platform for PaaS providers. It provides interoperable heterogeneous framework for customized SLA negotiation with semantic description of services.…”

Section: Negotiation Phasementioning

confidence: 99%

An Exploratory Study of Cloud Service Level Agreements - State of the Art Review

2015

KSII TIIS

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Cloud computing evolve as a cost effective business model for IT companies to focus on their core business without perturbing on infrastructure related issues. Hence, major IT firms and Small & Medium Enterprises (SME) are adopting cloud services on rental basis from cloud providers. Cloud Service level agreements (SLA) act as a key liaison between consumers and providers on renting Anything as a Service (AaaS). Design of such an agreement must aim for greater profit to providers as well as assured availability of services to consumers. However in reality, cloud SLA is not satisfying the parties involved because of its inherent complex nature and issues. Also currently most of the agreements are unilateral to favour the provider. This study focuses on comprehensive, 360-degree survey on different aspects of the cloud service agreements. We detailed the life cycle of SLA based on negotiation, different types of SLA, current standards, languages & characteristics, metrics and issues involved in it. This study will help the cloud actors to understand and evaluate the agreements and to make firm decision on negotiation. The need for standardized, bilateral, semantic SLA has also been proposed.

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“…Different approaches have been proposed so far: middleware based solutions, e.g., [68] and the mOSAIC platform [25]; software engineering approaches, e.g., [69]; semantic approaches, e.g. [70]; and containers [71,72], that are the focus of our paper.…”

Section: Deployment and Migration Of Servicesmentioning

confidence: 99%

Research challenges in legal-rule and QoS-aware cloud service brokerage

Casalicchio

Cardellini

Interino

et al. 2018

Future Generation Computer Systems

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The ICT industry and specifically critical sectors, such as healthcare, transportation, energy and government, require as mandatory the compliance of ICT systems and services with legislation and regulation, as well as with standards. In the era of cloud computing, this compliance management issue is exacerbated by the distributed nature of the system and by the limited control that customers have on the services. Today, the cloud industry is aware of this problem (as evidenced by the compliance program of many cloud service providers), and the research community is addressing the many facets of the legal-rule compliance checking and quality assurance problem.\ud \ud Cloud service brokerage plays an important role in legislation compliance and QoS management of cloud services. In this paper we discuss our experience in designing a legal-rule and QoS-aware cloud service broker, and we explore relate research issues. Specifically we provide three main contributions to the literature: first, we describe the detailed design architecture of the legal-rule and QoS-aware broker. Second, we discuss our design choices which rely on the state of the art solutions available in literature. We cover four main research areas: cloud broker service deployment, seamless cloud service migration, cloud service monitoring, and legal rule compliance checking. Finally, from the literature review in these research areas, we identify and discuss research challenges

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Cloud4SOA: A Semantic-Interoperability PaaS Solution for Multi-cloud Platform Management and Portability

Cited by 49 publications

References 9 publications

Daleel: Simplifying cloud instance selection using machine learning

Daleel: Simplifying cloud instance selection using machine learning

An Exploratory Study of Cloud Service Level Agreements - State of the Art Review

Research challenges in legal-rule and QoS-aware cloud service brokerage

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