Edge Computing and the Challenges It Poses for the CIOsBy CIOApplications Europe
In this dynamic world where technology changes very rapidly, the role of CIO’s become much more vital. 2.5 quintillion bytes of data are produced every day and to store this amount of data, there needs to be an efficient data storage system. The traditional data centers are not equipped to bear this kind of load. The advent of IoT devices has paved the way for the generation of a vast amount of data. Most of the data created has to be processed at the edge because the information needs to be used at the edge only. The Role of CIOs becomes very vital as they have to keep themselves informed about any new technology. CIOs have to make sure that the security, accessibility, and storage have the same preference as a lapse in any of the parameters can hamper a company’s growth. The edge computing will open up new avenues for the companies at the same time enhancing the overall customer satisfaction. Edge computing can pose some challenges for data security as microdata centers have to be created at the edge of the network. The CIOs need to implement edge computing very efficiently in order to ensure their company’s growth. The detailed analysis of challenges faced by CIOs is given below:
Decentralized Data: In edge computing data is processed at the edge which can be fatal as data is not stored at the centralized physical data centers. The CIOs need to take advanced security measures so that data can be secured from the start to the end. The data can be encrypted at the edge only to prevent any malpractices.
Expanding Business: implementing edge computing will give a significant boost to a company’s expansion. This makes the whole process a lot complex as new revenue systems will have to be generated and the customer will have better communication with the company through different IoT devices. The CIOs need to build an innovative strategy to handle the expansion without compromising on a customer’s satisfaction.
Data Storage: Data is of two types; hot data which is reused at the same time and Cold data which needs storing for further usage. The hot data can be used at the edge, and the cold data can be sent to the data center for any further use. CIOs should devise a plan to segregate the data accurately which will help to divide the data load at the data center and the edge.