Big Data HPC

The Internet of Things & Need for HPC

The Internet of Things (IoT) has a potential transformational effect on the data center market, its customers, technology providers, technologies, and sales and marketing models, according to Gartner, Inc. Gartner estimates that the IoT will include 26 billion units installed by 2020, and by that time, IoT product and service suppliers will generate incremental revenue exceeding $300 billion, mostly in services. 
“IoT deployments will generate large quantities of data that need to be processed and analyzed in real time,” said Fabrizio Biscotti, research director at Gartner.
Gartner has identified the following potential challenges: 
         Enterprise — Significant security challenges will remain as the big data created as a result of the deployment of myriad devices will drastically increase security complexity.
         Consumer Privacy — As is already the case with smart metering equipment and increasingly digitized automobiles, there will be a vast amount of data providing information on users’ personal use of devices that, if not secured, can give rise to breaches of privacy.
         Data — The impact of the IoT on storage is two-pronged in types of data to be stored: personal data (consumer-driven) and big data (enterprise-driven). As consumers utilize apps and devices continue to learn about the user, significant data will be generated.
         Storage Management —The focus today must be on storage capacity, as well as whether or not the business can harvest and use IoT data in a cost-effective manner.
         Server Technologies — The impact of IoT on the server market will be largely focused on increased investment in key vertical industries and organizations related to those industries where IoT can be profitable or add significant value.
Data Center Network IoT promises to dramatically change these patterns by transferring massive amounts of small message sensor data to the data center for processing, dramatically increasing inbound data center bandwidth requirements.
Tom Howe, Googles, senior Enterprise Consultant says that: The problem with Big Data, is that ‘in our perspective there have been a number of significant blockers to progress in the past.” These include the storage costs of massive amounts of information; the cost of crunching the data; the right tools to look at and analyse the data; limitations to network availability and speed; and simply “knowing which questions to even ask”, he added.
Undoubtedly, whether one likes it or not, the need for real time data analytics, storage, security and streaming is here and here to stay. The question is not when-but how.
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