Cloud Service Providers

Cloud Service Providers

Cloud Service Providers (CSP) are organisations providing cloud computing services.

Despite the fact that cloud represents today an ubiquitous access to scalable and configurable computing resource, accelerating the transformation of business models, there are several challenges that CSP are facing:

  • Lack of Knowledge: how to sell and market a cloud computing service, when the internal operation of cloud services is still being developed?
  • Absence of automation in cloud billing: how to define the price of cloud computing services? Due to distinct cloud services (SaaS, IaaS and PaaS), the pricing models vary widely, making the cloud pricing quite complex.
  • Regulatory Compliance: CSP deal with data, that is migrate, storage and processed. It is their responsibility to safeguard their clients’ data, while ensuring its security, privacy, safe and being compliant with legislation.
  • Integrate distinct cloud services: how to integrate different cloud solutions, from different providers, while providing customers’ the service they are looking for?

Why ATMOSPHERE is relevant for Cloud Service Providers?

ATMOSPHERE is developing a trustworthiness framework, a monitoring platform and measurement instruments and analysis services for cloud computing. This includes the definition and design of new trustworthiness properties and metrics, that will support CSP on measuring and analyzing trustworthiness on their services.

 Plus, ATMOSPHERE will also develop an orchestration platform and a dashboard to manage a federated set of container-based resources, as well as to provide measures, adaptive mechanisms and policies to improve trustworthiness. With ATMOSPHERE, the data storage, management and processing will be compliant with relevant laws and regulations, namely the General Data Protection Regulation (GDPR), already in place in Europe.

Moreover, Cloud service providers will be able to predict the performance of the applications they host and they will be able to (1) identify deviations due to resource contention, and (2) perform what-if analysis to identify the best configuration of their systems to fulfill Service Level Objectives.

 

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