Recital 80

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.