siliconindia | | June 202019Data Centers are integral part of the Information Technology architecture. With the implementation of IoTmaking process. GE's Edge Computing Framework does exactly that.The Edge Computing Framework creates a layer be-tween the data sources (IoT devices) and the Data Cen-ters, does an analysis of the mined data and only allows the data, which is required for decision making process of downstream systems, to reach Data Centers. This way, it is ensured that Organizations use their Data Center in-frastructure only for processing the required data despite of capturing a huge data volume through the connected IoT devices. For an example, an offshore oil rig would have around 25,000-30,000 sensors and will measure numerous am-bient conditions like temperature, pressure, humidity, water saturation etc. while performing drilling. Only a small share of this data is actually used for analysis. The Complex Event Processing (CEP) capability of Edge framework can eliminate redundant data and send only useful information to Data Center and Cloud.Another area where AI can bring efficiency in Data Center operations, is, managing activities like patching, monitoring and upgrading. Recent launch of Oracle's Autonomous Databases where all these activities can be performed with zero human touch, shows that most of these routine activities in future will not require human intervention at all.WHAT ARE THE CHALLENGES TO ACCOMPLISH THE CHANGEIt will require a significant effort and specialized skills to accomplish this change. First and foremost, Security and Privacy will be a major concern while we are dealing with humongous amount of data from IoT devices. With high number of devices and points of capture, the vul-nerability increases and it becomes easier for the hackers to penetrate.The huge network bandwidth required to handle such data would entail multiple technology upgrades. It would probably also require to create a number of interim data centers to handle the subsets of data separately before they reach main data centers and that would be possible only with a complete refurbishment of the infrastructure.Overall, it would require a seamless management of network, storage, security, reliabilitywith energy re-quirement and physical space at a much larger scale.WHAT CAN WE EXPECT IN FUTUREData Centers are integral part of the Information Tech-nology architecture. With the implementation of IoT, the traditional model of Data Centers may not work for long but it does not mean that they would be phased out. Rath-er, there will be a major overhaul to the current architec-ture to make them capable of handling huge amount of upstream and downstream data. This will create a new coexistence model with the technologies like IoT and Big Data and help enriching our lives.The good news is, despite heavy deployment of auto-mation, there will be significant jobs that will be created in the global market to achieve this goal.
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