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    云计算如何应对新冠疫情

    时间:2022-08-28 20:40:06 来源:天一资源网 本文已影响 天一资源网手机站

    下面是小编为大家整理的云计算如何应对新冠疫情,供大家参考。

    云计算如何应对新冠疫情

     

     云计算如何应对新冠疫情

     作者:阿德里安·布里奇沃特

     来源:《英语世界》2020年第 08 期

     The COVID-191 (Coronavirus2)

     contagion has resulted in a global pandemic3 with cities in lockdown and national governments being placed in crisis mode. As workers in many industries are now faced with the challenge of working from home, how will our IT frameworks be able to adapt to a ‘new shape of data flows’ being created?

      Our always-on mobile-centric increasingly cloud-native existence has created a world where access to data services is fundamentally important to keeping business moving. While panic buying in supermarkets continues (at the time of writing)

     in many world cities, we need to consider whether a commensurate4 level of ‘panic provisioning5’ has been going on inside the cloud datacenters that provide us with our central data infrastructure.

      Provisioning procedures

      Datacenter provisioning involves the preparation of the ‘server real estate’ base to make sure that we have enough processing power, enough memory and storage, enough connectivity (connection gateways wide enough to cope with the input/output of data)

     and enough ancillary6 services such as access to big data analytics engines and so on to cope with demand generated by users and (increasingly today)

     by intelligent machines.

      Sometimes this means moving data around to clear the way for anticipated data spikes, sometimes this means putting some data and applications in locations where they can be more efficiently and cost effectively delivered… and, ultimately, sometimes this means purchasing new server units to build a bigger datacenter.

      Even the cloudiest clouds

      “While many customers have the ability to manage their workloads remotely, datacenters are nevertheless physical entities and even the ‘cloudiest clouds’ require servers to be rebooted and cables patched, by a human being. So it is worth recalling why hybrid cloud computing is so compelling; it represents the ability and choice to increase and decrease (‘spin up’ and ‘spin down’7)

     data processing and storage in a flexible on-demand manner. As the crisis deepens, the challenge to the industry is whether this flexibility is delivered when and where it is needed,” said UK managing director for Interxion Andrew Fray.

      As any country attempts to move towards becoming a remote working nation, Fray advises that organizations may still have to re-evaluate how they’ve designed their network and applications.

     “As many more thousands or even millions of remote workers try to connect from unfamiliar locations, it is inevitable that there will be some communication pinch points8. When your entire workforce is geographically remote, the network architecture and cloud architecture need to be able to cope with a diverse workload [by using Software-Defined Networking9 (SDN)

     technologies] so that you are not hitting the same entry point10 and negatively impacting performance,” added Interxion’s Fray.

      Autonomous advantage

      As the peak of the Coronavirus pandemic approaches, will we be able to turn back and rely on all the advances in autonomous11 computing and Artificial Intelligence (AI)

     that populated so many headlines prior to the outbreak? Back in September 2019 we noted that Oracle was building in layers of IT autonomy into its database12 to reduce human error. Can’t the systems just get on with it by themselves now and allow us to stay at home, self-isolate and drink lots of fluids?

      “The beauty of today’s fully-managed cloud database is that it can be deployed and managed from anywhere with very little intervention needed by the end user. Happily, this is all by design i.e. some fully-managed cloud databases are fault-tolerant, auto-updating, self-healing, elastic-scaling and provide automated proactive management, which benefits end-users immensely as it frees them from the operational chore and costs of learning and maintaining their database infrastructure,” said Jeff Morris, VP product and solutions marketing at open source document-oriented database company Couchbase.

      Can some good come from bad?

      Although this discussion is clearly meant to concentrate on the data backbone impact of Coronavirus, there is an argument here to suggest that it could be part of the drive that takes us towards a more cloud-first always-virtualized world of computing. There may arguably be some good in that push i.e. cloud evangelists13 would argue that we need to ‘let go’ and regard the keyboard as nothing more than a conduit channel to the deeper IT services that lie within the cloud itself.

      “I believe any time you have this type of scenario, be it a pandemic, 9/11, or a massive natural disaster, business priorities take on a new focus. One will certainly be about business continuity as people focus on enabling remote work from anywhere. This experience will be a stronger accelerant to a cloud-first world and a SaaS-first world that will put further pressure on the traditional datacenter world [as it] becomes part of companies’ architectural postures,” said Patrick Harr, CEO of Panzura, a specialist in collaborative file and data management.

      With a few hiccups, coughs and glitches (hand over your mouth please)

     the cloud should carry us through much of the COVID-19 pandemic, computationally speaking at least. Now, please wash your hands.

     COVID-19(新冠病毒)的蔓延已經在全球范围内引发疫情大流行,各大城市进入封锁状态,诸国政府正处于危机模式。许多行业的工作者都面临着在家办公的挑战,而我们的 IT 框架又该如何适应由此而生的“新数据流形式”?

      Autonomous advantage

      As the peak of the Coronavirus pandemic approaches, will we be able to turn back and rely on all the advances in autonomous11 computing and Artificial Intelligence (AI)

     that populated so many headlines prior to the outbreak? Back in September 2019 we noted that Oracle was building in layers of IT autonomy into its database12 to reduce human error. Can’t the systems just get on with it by themselves now and allow us to stay at home, self-isolate and drink lots of fluids?

      “The beauty of today’s fully-managed cloud database is that it can be deployed and managed from anywhere with very little intervention needed by the end user. Happily, this is all by design i.e. some fully-managed cloud databases are fault-tolerant, auto-updating, self-healing, elastic-scaling and provide automated proactive management, which benefits end-users immensely as it frees them from the operational chore and costs of learning and maintaining their database infrastructure,” said Jeff Morris, VP product and solutions marketing at open source document-oriented database company Couchbase.

      Can some good come from bad?

      Although this discussion is clearly meant to concentrate on the data backbone impact of Coronavirus, there is an argument here to suggest that it could be part of the drive that takes us towards a more cloud-first always-virtualized world of computing. There may arguably be some good in that push i.e. cloud evangelists13 would argue that we need to ‘let go’ and regard the keyboard as nothing more than a conduit channel to the deeper IT services that lie within the cloud itself.

      “I believe any time you have this type of scenario, be it a pandemic, 9/11, or a massive natural disaster, business priorities take on a new focus. One will certainly be about business continuity as people focus on enabling remote work from anywhere. This experience will be a stronger accelerant to a cloud-first world and a SaaS-first world that will put further pressure on the traditional datacenter world [as it] becomes part of companies’ architectural postures,” said Patrick Harr, CEO of Panzura, a specialist in collaborative file and data management.

      With a few hiccups, coughs and glitches (hand over your mouth please)

     the cloud should carry us through much of the COVID-19 pandemic, computationally speaking at least. Now, please wash your hands.

     COVID-19(新冠病毒)的蔓延已經在全球范围内引发疫情大流行,各大城市进入封锁状态,诸国政府正处于危机模式。许多行业的工作者都面临着在家办公的挑战,而我们的 IT 框架又该如何适应由此而生的“新数据流形式”?

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