Cloud computing

International Electrotechnical Commission

The IEC is the world leader in preparing international standards for all electrical, electronic, and related technologies. A global, not-for-profit membership organisation, the IEC provides a neutral and independent institutional framework to over 170 countries, coordinating the work of more than 20,000 experts. We administer four IEC Conformity Assessment Systems, representing the largest working multilateral agreement based on the one-time testing of products globally. The members of each system certify that devices, systems, installations, services, and people perform as required.

IEC International Standards represent a global consensus of state-of-the-art know-how and expertise. Together with conformity assessment, they are foundational for international trade.

IEC Standards incorporate the needs of many stakeholders in every participating country and form the basis for testing and certification. Every member country and all its stakeholders represented through the IEC National Committees has one vote and a say in what goes into an IEC International Standard.

Our work is used to verify the safety, performance, and interoperability of electric and electronic devices and systems such as mobile phones, refrigerators, office and medical equipment, or electricity generation. It also helps accelerate digitisation, artificial intelligence (AI), or virtual reality applications, protects information technology (IT) and critical infrastructure systems from cyberattacks and increases the safety of people and the environment.

Digital activities 

The IEC works to ensure that its activities have a global reach in order to meet all the challenges of digital transformation worldwide. The organisation covers an array of digital policy issues.

Digital policy issues

Artificial intelligence and the internet of things

AI applications are driving digital transformation across diverse industries, including energy, healthcare, smart manufacturing, transport, and other strategic sectors that rely on IEC Standards and Conformity Assessment Systems. AI technologies allow insights and analytics that go far beyond the capabilities of legacy analytic systems.

For example, the digital transformation of the grid enables increased automation, making it more efficient and able to integrate fluctuating renewable energy sources seamlessly. IEC Standards pave the way for the use of a variety of digital technologies relating to intelligent energy. They deal with issues such as integrating renewable energies within the electrical network but also increased automatisation.

The IEC’s work in the area of AI takes a three-pronged approach. IEC experts focus on sector-specific needs (vertical standards) and conformity assessment, while the joint IEC and International Organization for Standardization (ISO) technical committee on AI, JTC1/SC 42, brings together technology experts, as well as ethicists, lawyers, social scientists, and others to develop generic and foundational standards (horizontal standards).

In addition, IEC Safety Standards are an essential element of the framework for AI applications in power utilities and smart manufacturing. IEC Conformity Assessment Systems complete the process by ensuring the standards are properly implemented.

SC 42 addresses some concerns about the use and application of AI technologies. For example, data quality standards for ML and analytics are crucial for helping to ensure that applied technologies produce useful insights and eliminate faulty features.

Governance standards in AI and the business process framework for big data analytics address how the technologies can be governed and overseen from a management perspective. International standards in the areas of trustworthiness, ethics, and societal concerns will ensure responsible deployment.

The joint IEC and ISO technical committee also develop foundational standards for the IoT. Among other things, SC 41 standards promote interoperability, as well as architecture and a common vocabulary for the IoT.

Hardware

The IEC develops standards for many of the technologies that support digital transformation. Sensors, cloud, and edge computing are examples.

Advances in data acquisition systems are driving the growth of big data and AI use cases. The IEC prepares standards relating to semiconductor devices, including sensors.

Sensors can be certified under the IEC Quality Assessment System for Electronic Components (IECQ), one of the four IEC Conformity Assessment Systems.

Cloud computing and its technologies have also supported the increase of AI applications. The joint IEC and ISO technical committee prepares standards for cloud computing, including distributed platforms and edge devices, which are close to users and data collection points. The publications cover key requirements relating to data storage and recovery.

Building trust

International Standards play an important role in increasing trust in AI and help support public and private decision-making, not least because they are developed by a broad range of stakeholders. This helps to ensure that the IEC’s work strikes the right balance between the desire to deploy AI and other new technologies rapidly and the need to study their ethical implications.

The IEC has been working with a wide range of international, regional, and national organisations to develop new ways to bring stakeholders together to address the challenges of AI. These include the Swiss Federal Department of Foreign Affairs (FDFA) and the standards development organisations, ISO, and the International Telecommunication Union (ITU).

More than 500 participants followed the AI with Trust conference, in-person and online, to hear different stakeholder perspectives on the interplay between legislation, standards and conformity assessment. They followed use-case sessions on healthcare, sensor technology, and collaborative robots, and heard distinguished experts exchange ideas on how they could interoperate more efficiently to build trust in AI. The conference in Geneva was the first milestone of the AI with Trust initiative.

The IEC is also a founding member of the Open Community for Ethics in Autonomous and Intelligent Systems (OCEANIS). OCEANIS brings together standardisation organisations from around the world to enhance awareness of the role of standards in facilitating innovation and addressing issues related to ethics and values.

Read more

– e-tech

IEC and ISO Work on Artificial Intelligence

AI for the Last Mile

Computational Approaches for AI Systems

–  IEC Blog

Digital Transformation

–  Video

Ian Oppermann (AI with Trust)

AI with Trust conference interviews AI Governance

Network security and critical infrastructure

The IEC develops cybersecurity standards and conformity assessments for IT and operational technology (OT). One of the biggest challenges today is that cybersecurity is often understood only in terms of IT, which leaves critical infrastructure, such as power utilities, transport systems, manufacturing plants and hospitals, vulnerable to cyberattacks.

Cyberattacks on IT and OT systems often have different consequences. The effects of cyberattacks on IT are generally economical, while cyberattacks on critical infrastructure can impact the environment, damage equipment, or even threaten public health and lives.

When implementing a cybersecurity strategy, it is essential to consider the different priorities of cyber-physical and IT systems. The IEC provides relevant and specific guidance via two of the world’s best-known cybersecurity standards: IEC 62443 for cyber-physical systems and ISO/IEC 27001 for IT systems.

Both take a risk-based approach to cybersecurity, which is based on the concept that it is neither efficient nor sustainable to try to protect all assets in equal measure. Instead, users must identify what is most valuable and requires the greatest protection and identify vulnerabilities.

Conformity assessment provides further security by ensuring that the standards are implemented correctly: IECEE certification for IEC 62443 and IECQ for ISO/IEC 27001.

ISO/IEC 27001 for IT

IT security focuses equally on protecting the confidentiality, integrity, and availability of data – the so-called CIA triad. Confidentiality is of paramount importance and information security management systems, such as the one described in ISO/IEC 27001, are designed to protect sensitive data, such as personally identifiable information (PII), intellectual property (IP), or credit card numbers, for example.

Implementing the information security management system (ISMS) described in ISO/IEC 27001 means embedding information security continuity in business continuity management systems. Organisations are shown how to plan and monitor the use of resources to identify attacks earlier and take steps more quickly to mitigate the initial impact.

IEC 62443 for OT

In cyber-physical systems, where IT and OT converge, the goal is to protect safety, integrity, availability, and confidentiality (SIAC). Industrial control and automation systems (ICAS) run in a loop to check continually that everything is functioning correctly.

The IEC 62443 series was developed because IT cybersecurity measures are not always appropriate for ICAS. ICAS are found in an ever-expanding range of domains and industries, including critical infrastructure, such as energy generation, water management, and the healthcare sector.

ICAS must run continuously to check that each component in an operational system is functioning correctly. Compared to IT systems, they have different performance and availability requirements and equipment lifetime.

Conformity assessment: IECEE

Many organisations are applying for the IEC System of Conformity Assessment Schemes for Electrotechnical Equipment and Components (IECEE) conformity assessment certification to verify that the requirements of IEC 62443 have been met.

IECEE provides a framework for assessments in line with IEC 62443, which specifies requirements for security capabilities, whether technical (security mechanisms) or process (human procedures) related. Successful recipients receive the IECEE industrial cybersecurity capability certificate of conformity.

Conformity assessment: IECQ

While certification to ISO/IEC 27001 has existed since the standard was published in 2013, it is only in recent years that the IEC Quality Assessment System for Electronic Components (IECQ) has set up a true single standardised way of assessing and certifying an ISMS to ISO/IEC 27001.

International standards such as IEC 62443 and ISO/IEC 27001 are based on industry best practices and reached by consensus. Conformity assessment confirms that they have been implemented correctly to ensure a safe and secure digital society.

Read more

Video

Digital tools

IEC has developed a number of online tools and services designed to help everyone with their daily activities.

Social media channels

Facebook @InternationalElectrotechnicalCommission

LinkedIn @IECStandards

Pinterest @IECStandards

X @IECStandards

YouTube @IECstandards

European Organization for Nuclear Research

CERN is widely recognised as one of the world’s leading laboratories for particle physics. At CERN, physicists and engineers probe the fundamental structure of the universe. To do this, they use the world’s largest and most complex scientific instruments – particle accelerators and detectors. Technologies developed at CERN go on to have a significant impact through their applications in wider society.

Digital activities

CERN has had an important role in the history of computing and networks. The World Wide Web (WWW) was invented at CERN by Sir Tim Berners-Lee. The web was originally conceived and developed to meet the demand for automated information-sharing between scientists at universities and institutes around the world.

Grid computing was also developed at CERN with partners and thanks to funding from the European Commission. The organisation also carries out activities in the areas of cybersecurity, big data, machine learning (ML), artificial intelligence (AI), data preservation, and quantum technology.

Digital policy issues

Artificial intelligence

AI-related projects are developed and referred to as part of the CERN openlab activities.

Through CERN openlab, CERN collaborates with leading information and communications technology (ICT) companies and research institutes. The R&D projects carried out through CERN openlab address topics related to data acquisition, computing platforms, data storage architectures, computer provisioning and management, networks and communication, ML and data analytics, and quantum technologies. CERN researchers use ML techniques as part of their efforts to maximise the potential for discovery and optimise resource usage. ML is used, for instance, to improve the performance of the Large Hadron Collider (LHC) experiments in areas such as particle detection and managing computing resources. Going one step further, at the intersection of AI and quantum computing, CERN openlab is exploring the feasibility of using quantum algorithms to track the particles produced by collisions in the LHC, and is working on developing quantum algorithms to help optimise how data is distributed for storage in the Worldwide LHC Computing Grid (WLCG). This research is part of the CERN Quantum Technology Initiative (QTI) activities, launched in 2020 to shape CERN’s role in the next quantum revolution.

–   CERN openlab: a public-private partnership in which CERN collaborates with ICT companies and other research organisations to accelerate the development of cutting-edge solutions for the research community, including ML.

– CERN QTI: a comprehensive R&D, academic, and knowledge-sharing initiative to exploit quantum advantage for high-energy physics and beyond. Given CERN’s increasing ITC and computing demands, as well as the significant national and international interests in quantum-technology activities, it aims to provide dedicated mechanisms for the exchange of both knowledge and innovation.

Cloud computing

Within its work, CERN refers to ‘cloud computing’ as ‘distributed computing.

The scale and complexity of data from the LHC, the world’s largest particle accelerator, is unprecedented. This data needs to be stored, easily retrieved, and analysed by physicists worldwide. This requires massive storage facilities, global networking, immense computing power, and funding. CERN did not initially have the computing or financial resources to crunch all of the data on-site, so in 2002 it turned to grid computing to share the burden with computer centres around the world. The WLCG builds on the ideas of grid technology initially proposed in 1999 by Ian Foster and Carl Kesselman. The WLCG relies on a distributed computing infrastructure, as data from the collisions of protons or heavy ions are distributed via the internet for processing at data centres worldwide. This approach of using virtual machines is based on the same paradigm as cloud computing. It is expected that further CERN developments in the field of data processing will continue to influence digital technologies.

Telecommunication infrastructure

Within its work, CERN refers to ‘telecommunication infrastructure’ as ‘network infrastructure’.

In the 1970s, CERN developed CERNET, a lab-wide network to access mainframe computers in its data centre. This pioneering network eventually led CERN to become an early European adopter of Transmission Control Protocol/Internet Protocol (TCP/IP) for use in connecting systems on site. In 1989, CERN opened its first external TCP/IP connections and by 1990, CERN had become the largest internet site in Europe and was ready to host the first WWW server. Nowadays, in addition to the WLCG and its distributed computing infrastructure, CERN is also the host of the CERN Internet eXchange Point (CIXP), which optimises CERN’s internet connectivity and is also open to interested internet service providers (ISPs).

Digital standards

Within its work, CERN addresses ‘web standards’ as ‘open science’.

Ever since releasing the World Wide Web software under an open-source model in 1994, CERN has been a pioneer in the open-source field, supporting open-source hardware (with the CERN Open Hardware Licence), open access (with the Sponsoring Consortium for Open Access Publishing in Particle Physics SCOAP3) and open data (with the CERN Open Data Portal). Several CERN technologies are being developed with open science in mind, such as Indico, InvenioRDM, REANA, and Zenodo. Open-source software, such as CERNBox, CERN Tape Archive (CTA), EOS, File Transfer Service (FTS), GeantIV, ROOT, RUCIO, and service for web-based analysis (SWAN), has been developed to handle, distribute, and analyse the huge volumes of data generated by the LHC experiments and are also made available to the wider society.

Digital tools

Data governance

Within its work, CERN refers to ‘data governance’ as ‘data preservation’.

CERN manages vast amounts of data; not only scientific data, but also data in more common formats such as webpages, images and videos, documents, and more. For instance, the CERN Data Centre processes on average one petabyte (one million gigabytes) of data per day. As such, the organisation notes that it faces the challenge of preserving its digital memory. CERN also points to the fact that many of the tools that are used to preserve data generated by the LHC and other scientific projects are also suitable for preserving other types of data and are made available to wider society.

The CERN Open Data Policy for scientific experiments at the LHC is essential to make scientific research more reproducible, accessible, and collaborative. It reflects values that have been enshrined in the CERN Convention for more than 60 years that were reaffirmed in the European Strategy for Particle Physics (2020), and aims to empower the LHC experiments to adopt a consistent approach towards the openness and preservation of experimental data (applying FAIR standards to better share and reuse data).

EOSC Future is an EU-funded project that is contributing to establishing the European Open Science Cloud (EOSC) to provide a Web of FAIR Data and Services for science in Europe. The implementation of EOSC is based on the long-term process of alignment and coordination pursued by the Commission since 2015.

CERN joined the recently formed EOSC Association in 2020. The EOSC Association is the legal entity established to govern the EOSC and has since grown to more than 250 members and observers.

Future of meetings

More information about ongoing and upcoming events, you can find on the events page.

Social media channels

Facebook @cern

Instagram @cern

LinkedIn @cern

X @CERN

YouTube @CERN