4CaaSt marketplace: An advanced business environment for trading cloud services

Menychtas, Andreas; Vogel, Jürgen; Giessmann, Andrea; Gatzioura, Anna; Gómez, Sergio García; Moulos, Vrettos; Junker, Frederic; Müller, Mathias; Kyriazis, Dimosthenis; Stanoevska‐Slabeva, Katarina; Varvarigou, Theodora

doi:10.1016/j.future.2014.02.020

Cited by 30 publications

(11 citation statements)

References 14 publications

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“…However, the cloud market is still mainly dominated by a handful of mostly private (and sometimes public) cloud providers, which are both willing and capable of investing in their cloud service provision and the required infrastructure [7]. Examples of wellknown cloud marketplaces include the Amazon AWS cloud marketplace, the Oracle cloud marketplace, the Microsoft Azure cloud marketplace, and the Salesforce AppExchange cloud marketplace [47].…”

Section: Background On Cloud Market Modelsmentioning

confidence: 99%

Crowdcloud: a crowdsourced system for cloud infrastructure

et al. 2018

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The widespread adoption of truly portable, smart devices and Do-It-Yourself computing platforms by the general public has enabled the rise of new network and system paradigms. This abundance of well-connected, well-equipped, affordable devices, when combined with crowdsourcing methods, enables the development of systems with the aid of the crowd. In this work, we introduce the paradigm of Crowdsourced Systems, systems whose constituent infrastructure, or a significant part of it, is pooled from the general public by following crowdsourcing methodologies. We discuss the particular distinctive characteristics they carry and also provide their ''canonical'' architecture. We exemplify the paradigm by also introducing Crowdcloud, a crowdsourced cloud infrastructure where crowd members can act both as cloud service providers and cloud service clients. We discuss its characteristic properties and also provide its functional architecture. The concepts introduced in this work underpin recent advances in the areas of mobile edge/fog computing and co-designed/cocreated systems.

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Section: Background On Cloud Market Modelsmentioning

confidence: 99%

Crowdcloud: a crowdsourced system for cloud infrastructure

et al. 2018

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“…Cloud service e-marketplaces are online internet platforms for trading cloud-based services, by providing mechanisms for enabling service composition, service discovery, service selection, service deployment, service monitoring, and payment resolutions in a single one-stop shop infrastructure [12,13]. The e-marketplace provides a unified view of all available offerings and becomes a single point of access to offerings available in the cloud ecosystem.…”

Section: A Cloud Service E-marketplacementioning

confidence: 99%

Towards a Visualization Framework for Service Selection in Cloud E-Marketplaces

Ezenwoke

Daramola

Adigun

2017

2017 IEEE International Conference on Web Services (ICWS)

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Abstract-In spite of the success of many commercial cloud service e-marketplaces the search results from these platforms are usually presented as an unordered list of icons representing the services that best fit users' keyword-based queries. The drawback of such presentation mechanisms is that users are not able to immediately discriminate among the cloud services for easy decision making. A number of cloud service selection frameworks have been proposed; however, some of these frameworks do not enable users make comparisons among services. In this paper, we introduce a visualization framework for cloud service selection. Our framework takes into cognizance the set of cloud services that matches a user's request and based on QoS attributes, users can interact with the results via bubble graph visualization to compare and contrast the search results to ascertain the best alternative. The bubble graph enables the exploration of services in a unified view of the QoS space, exhibiting both high object coherence and correlation. Result from our experiments shows that our framework simplifies decision making as users can identify services that best fit their requirements quicker and easier compared to tabular formats.

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“…Reusable artefacts are then published to the web-based ARTIST Marketplace if they should be publicly available or to the ARTIST Repository if they should be shared only within a controlled number of migration projects. The ARTIST Repository and Marketplace thus provide a central place to store, archive and organize MDE artefacts which could be merchandized as services in cloud marketplace environments [13].…”

Section: Migration Artefacts Reuse and Evolutionmentioning

confidence: 99%

Software modernization and cloudification using the ARTIST migration methodology and framework

Menychtas¹,

Konstanteli²,

Alonso³

et al. 2014

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Abstract. Cloud computing has leveraged new software development and provisioning approaches by changing the way computing, storage and networking resources are purchased and consumed. The variety of cloud offerings on both technical and business level has considerably advanced the development process and established new business models and value chains for applications and services. However, the modernization and cloudification of legacy software so as to be offered as a service still encounters many challenges. In this work, we present a complete methodology and a methodology instantiation framework for the effective migration of legacy software to modern cloud environments. 1. Introduction. Nowadays, cloud computing [4] appears as one of the most popular and mature technological and business environments for engineering, hosting and provisioning software applications. A continuously increasing set of cloud-based solutions across the cloud stack layers [11] is available to application owners and developers to tailor their applications and exploit the advanced features of this paradigm for elasticity, high availability and performance. These solutions provide many benefits to new applications but they also introduce constrains to the modernization and migration of legacy applications. We consider legacy applications as software not developed for the Cloud and software in traditional architectural paradigms that cannot be scaled, cannot be measured and does not share resources beyond infrastructure (e.g. database, memory). Often the legacy applications follow monolithic architecture design approaches, implemented in technologies which may be deprecated or cannot easily deal with the notion of "as a Service" and are installed on owned infrastructures.The modernization and adaptation of legacy applications to cloud environments is a great challenge for all involved stakeholders, not only from a technical perspective, but also in business level with the need for adaptation of the business processes and models of the application which will be deployed on the Cloud and offered "as a service". In this paper, we present a novel model-driven [22] approach for the migration of legacy applications in modern cloud environments which covers all aspects and phases of the migration process, as well as an integrated framework that supports all migration process.Our motivation for this work is the requirements and challenges for the effective migration of legacy software on the Cloud as described in [9]. To this end, the proposed migration methodology considers the following aspects:• Unknown internal structure due to the complexity of the software and the data management processes.• Lack of knowledge for target environment where the application will be deployed and provisioned.

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4CaaSt marketplace: An advanced business environment for trading cloud services

Cited by 30 publications

References 14 publications

Crowdcloud: a crowdsourced system for cloud infrastructure

Crowdcloud: a crowdsourced system for cloud infrastructure

Towards a Visualization Framework for Service Selection in Cloud E-Marketplaces

Software modernization and cloudification using the ARTIST migration methodology and framework

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