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DATA CENTRE


              Moore’s law, sustainability and


             data centres: How software will



            handle the future data explosion






         By Natalya Makarochkina - Senior Vice President, Secure Power Division, International Operations, Schneider Electric



             The data centre sector’s proven record of dealing with massive demand growth can be applied to
                                             wider sustainability challenges




             n important principle in the development of IT over the decades has been
             Moore’s Law. Simply put, it predicted that transistor density in processors would
        Adouble every two years as development progresses.
           Despite many predictions of its demise, it has remained a more or less guiding
        principle. However, what is perhaps less well known is a similarly persistent trend in the
        data centre space.
           Despite a six-fold increase in the data being processed since 2010, data centre
        energy consumption has only risen by 6% to 2018 (Masanet et al, 2020). How has that
        been possible, and how does it inform sustainability developments into the future?
        Where does the data come from?
        To contextualise this development, we must first understand where the data processing
        increase comes from.
           The Apple iPad had its debut in 2010, which also saw the introduction of Instagram
        and Microsoft’s Azure cloud service. 2011 introduced us to Minecraft, Snapchat and   Natalya Makarochkina
        Uber, with 2013 bringing Amazon’s Alexa, accompanied by Xbox One and PlayStation.
        2017 brought Fortnite and Tiktok.
           Social media engagement over the period increased manifold, while global data   What tech developments have
        production went from estimates of two zettabytes in 2010 to 41 zettabytes  in 2019. IDC   made this possible?
        estimates global data load will rise to a staggering 175 zettabytes by 2025.    Multiple technological developments
           The pandemic effect has been substantial, with the MENA region seeing a big   can account for this data explosion
        increase in messaging and social media usage: social media users in MEA and Latin   being handled with only minimal
        America spend the most time on social networks, averaging over 3.5 hours a day.   increases in energy consumption, from
           More than half of users in MEA (57%) reported (May 2020) spending even more   improvements in processor design
        time on social media as a result of the pandemic. Similarly, in a separate study, 71%   and manufacture, through power
        of Middle East respondents reported WhatsApp and other messaging apps usage   supply units and storage, but also
        increased since the outbreak of the pandemic.                             the migration of workloads from on-
                                                                                  premises infrastructure to the cloud.
        What impact does all that data have?                                        Schneider Electric has been
        To understand the impact of this data explosion, a concept has been developed called   committed to sustainable business
        data gravity. Coined by engineer David McRory, the term refers to the tendency of   for decades and this has meant a
        an accumulation of data to attract applications and services toward it, precipitating   renewed focus on efficiency in all
        further accumulation, which can lead to immobilisation of the data, as well as under-  aspects of design and operation.
        utilisation. Data that grows too big, too fast can become immobile, reducing its value   Gains have been made in efficiency
        and increasing its opacity. Only low latency, high bandwidth services, combined   in power and cooling, with UPS
        with new data architectures can combat this growing and largely undocumented   systems and modular power supplies
        phenomenon.                                                               showing significant gains with each


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