BASMATI: An Architecture for Managing Cloud and Edge Resources for Mobile Users

Altmann, Jörn; Al-athwari, Baseem; Carlini, Emanuele; Coppola, Massimo; Dazzi, Patrizio; Ferrer, Ana Juan; Haile, Netsanet; Jung, Young-Woo; Marshall, Jamie M; Pages, Enric; Psomakelis, Evangelos; Santoso, Ganis Zulfa; Tserpes, Konstantinos; Violos, John

doi:10.1007/978-3-319-68066-8_5

Cited by 13 publications

(9 citation statements)

References 15 publications

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“…The architecture within FAIR shall be capable to transform complex climate and weather data into a flexible but userspecific and user-friendly output. The approach was inspired by two research projects BASMATI (Altmann et al, 2017) and GEISER (Georgala et al, 2018). It is based on three assumptions:…”

Section: Technical Implementation and Orchestration Of Fair Servicesmentioning

confidence: 99%

FAIR: a project to realize a user-friendly exchange of open weather data

Frank¹,

Kaspar

Keller

et al. 2020

Adv. Sci. Res.

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Abstract. Access to high quality weather and climate data is crucial for a wide range of societal and economic issues. It allows optimising industrial processes, supports the identification of potential risks related to climate change or allows the development of corresponding adaptation and mitigation strategies. Although such data is freely available through Germany’s national meteorological service DWD (Deutscher Wetterdienst) since 2017, the application potential in industry and society has certainly not yet been fully unlocked. Major obstacles are the complexity of the raw data, as well as missing tools for their simple integration into existing industrial applications. The goal of the research project FAIR is to simplify the information exchange between the DWD and economical players. In order to reach this goal a requirement analysis with end-users of weather data from three different sectors was conducted. A central requirement regarding the site assessment of wind plants is quick and easy access to historical wind-series at specific sites. Preferably downloadable in formats like CSV or via an API. Event planning partners are interested in a quick access to health relevant weather information at their event location, and the E-mobility sector in temperature data along planned routes. In this paper, we summarize the results of the requirement analysis and present the deduced technical architecture and FAIR services aiming at a user-friendly exchange of weather data.

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Section: Technical Implementation and Orchestration Of Fair Servicesmentioning

confidence: 99%

FAIR: a project to realize a user-friendly exchange of open weather data

Frank¹,

Kaspar

Keller

et al. 2020

Adv. Sci. Res.

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“…Previous literature has also examined the impact of KM on stability and success of SAs [6][7][8]. Moreover, as CF leverages SAs [5], the relationship between KM, SA, and CFs can be depicted as shown in Fig. 1.…”

Section: Strategic Alliances and Knowledge Management In The Context Of Cloud Federationsmentioning

confidence: 99%

“…Scholars have not explored the relation between knowledge management (KM) and CF sufficiently. Only few articles discussed about KM relation with CF such as [4,5]. This led to the exploration of the relation between KM and SA instead of KM and CF.…”

Section: Introductionmentioning

confidence: 99%

Knowledge Management Framework for Cloud Federation

Mellaoui

Posso

Gebrealif

et al. 2021

Economics of Grids, Clouds, Systems, and Services

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A cloud federation (CF) is an alliance of cloud service providers (CSPs) working together to overcome scalability and portability barriers. However, there are some business challenges (e.g., lack of trust, lack of schemes for revenue sharing, and lack of schemes for resource sharing) and technological challenges (e.g., missing schemes for resource provisioning, lack of coordinated resource management, and little load balancing), causing instability in CFs. As CF alliances pursue strategic goals, they require intensive knowledge sharing. In fact, practitioners have confirmed a positive impact of knowledge management on stability and success of strategic alliances (SA). According to the literature, SAs may also face learning issues such as non–controlled information revelation or unbalanced dissemination of core competencies. These findings pose challenges about the nature of the knowledge and how to share it within a CF. Nonetheless, there is only scarce literature on KM in CF. Thus, the purpose of the paper is to propose a KM framework for CFs with the aim of strengthening stability and potential CF commercialization.

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“…ACCORDION aims to benefit from these goals and use TOSCA as an application model which contains a generic description which then has to be converted to a deployment plan, a similar approach has been introduced before in BASMATI [2,30], CloudCAMP [9] and Tosker [11]. TOSCA has been used before as a general description which was then converted to Docker or Kubernetes deployment plans.…”

Section: Minimize Overheads In Migratingmentioning

confidence: 99%

“…Moreover, existing solutions lead to user lock-in and, overall, have a negative impact on the open diffusion of edge computing. To overcome these limitations, ACCORDION 2 project aspires to provide an open low-latency, privacy-preserving, secure, and robust virtualized infrastructure, encompassing clouds and network infrastructures as well as resources owned by end-users. ACCORDION achieves this goal by opportunistically extending the infrastructure pool with all sorts of available compute and network resources and infrastructures; be it a telco operator, local commodity hardware, and private clouds, or end-devices, leaving the public cloud as a last resort.…”

Section: Introductionmentioning

confidence: 99%

Inter-operability and Orchestration in Heterogeneous Cloud/Edge Resources

Korontanis

Tserpes

Pateraki

et al. 2020

Proceedings of the 1st Workshop on Flexible Resource and Application Management on the Edge

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In recent years, there has been a concerted effort in both industry and research sectors to innovate new approaches to DevOps. The primary aim is to facilitate developers in transitioning their applications to Cloud or Edge platforms utilizing Docker or Kubernetes. This paper presents a tool called Converter, designed to interpret a TOSCA extension called CEAML and convert the descriptions into Kubernetes or Kubevirt definition files. Converter is available as a Python package and is recommended for use by orchestrators as an auxiliary tool for implementing CEAML.

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BASMATI: An Architecture for Managing Cloud and Edge Resources for Mobile Users

Cited by 13 publications

References 15 publications

FAIR: a project to realize a user-friendly exchange of open weather data

FAIR: a project to realize a user-friendly exchange of open weather data

Knowledge Management Framework for Cloud Federation

Inter-operability and Orchestration in Heterogeneous Cloud/Edge Resources

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