DA Article 24. Scope of the technical obligations

Data processing services should cover services that allow ubiquitous and on-demand network access to a configurable, scalable and elastic shared pool of distributed computing resources. Those computing resources include resources such as networks, servers or other virtual or physical infrastructure, software, including software development tools, storage, applications and services. The capability of the customer of the data processing service to unilaterally self-provision computing capabilities, such as server time or network storage, without any human interaction by the provider of data processing services could be described as requiring minimal management effort and as entailing minimal interaction between provider and customer. The term ‘ubiquitous’ is used to describe the computing capabilities provided over the network and accessed through mechanisms promoting the use of heterogeneous thin or thick client platforms (from web browsers to mobile devices and workstations). The term ‘scalable’ refers to computing resources that are flexibly allocated by the provider of data processing services, irrespective of the geographical location of the resources, in order to handle fluctuations in demand. The term ‘elastic’ is used to describe those computing resources that are provisioned and released according to demand in order to rapidly increase or decrease resources available depending on workload. The term ‘shared pool’ is used to describe those computing resources that are provided to multiple users who share a common access to the service, but where the processing is carried out separately for each user, although the service is provided from the same electronic equipment. The term ‘distributed’ is used to describe those computing resources that are located on different networked computers or devices and which communicate and coordinate among themselves by message passing. The term ‘highly distributed’ is used to describe data processing services that involve data processing closer to where data are being generated or collected, for instance in a connected data processing device. Edge computing, which is a form of such highly distributed data processing, is expected to generate new business models and cloud service delivery models, which should be open and interoperable from the outset.

The generic concept ‘data processing services’ covers a substantial number of services with a very broad range of different purposes, functionalities and technical set-ups. As commonly understood by providers and users and in line with broadly used standards, data processing services fall into one or more of the following three data processing service delivery models, namely Infrastructure as a Service (IaaS), Platform as a service (PaaS) and Software as a Service (SaaS). Those service delivery models represent a specific, pre-packaged combination of ICT resources offered by a provider of data processing service. Those three fundamental data processing delivery models are further complemented by emerging variations, each comprised of a distinct combination of ICT resources, such as Storage as a Service and Database as a Service. Data processing services can be categorised in a more granular way and divided into a non-exhaustive list of sets of data processing services that share the same primary objective and main functionalities as well as the same type of data processing models, that are not related to the service’s operational characteristics (same service type). Services falling under the same service type may share the same data processing service model, however, two databases might appear to share the same primary objective, but after considering their data processing model, distribution model and the use cases that they are targeted at, such databases could fall into a more granular subcategory of similar services. Services of the same service type may have different and competing characteristics such as performance, security, resilience, and quality of service.

Providers of data processing services should be required to offer all the assistance and support within their capacity, proportionate to their respective obligations, that is required to make the switching process to a service of a different provider of data processing services successful, effective and secure. This Regulation does not require providers of data processing services to develop new categories of data processing services, including within, or on the basis of, the ICT infrastructure of different providers of data processing services in order to guarantee functional equivalence in an environment other than their own systems. A source provider of data processing services does not have access to or insights into the environment of the destination provider of data processing services. Functional equivalence should not be understood to oblige the source provider of data processing services to rebuild the service in question within the infrastructure of the destination provider of data processing services. Instead, the source provider of data processing services should take all reasonable measures within its power to facilitate the process of achieving functional equivalence through the provision of capabilities, adequate information, documentation, technical support and, where appropriate, the necessary tools.