Edge computing is a data processing solution that has been applied in practice to help businesses solve problems of latency, operational pressure and information security in the current competitive environment.
Research firm Gartner estimates that by 2025, 75% of enterprise data will be created and processed at the edge of the network. Also, according to market research firm Analysys Mason, over the next three years, businesses will spend an average of 30% of their IT budgets on marginal computing.
As companies accelerate digital transformation, edge computing can unleash the power of local data generated from digitalized and connected devices, experts say. In particular, the current commercial environment being operated remotely and across borders by IoT devices is requiring faster connectivity between data centers, clouds, and devices. As a result, data centers at the edge of the network are playing an increasingly important role.
Meet the growing demand with sustainable data centers
To meet the pressing needs mentioned above, data centers need sustainability and flexibility. Based on current growth rates and internal reporting by Schneider Electric, data center energy consumption is expected to double by 2040, largely due to continued growth of data center at the network edge.
With 7.5 million new micro data centers expected to be installed by 2025, with only devices at the edge of the network, the world can record the highest number of power consumption. 120 GW, could increase CO2 emissions by 450,000-600,000 tons per year.
Experts said that this is an urgent issue that businesses need to address, not only to protect the environment, but also to respond to requests from the community and the Government on the sustainability aspect of the industry. data center business for both the public and private business sectors.
The 4 elements of a future flexible marginal data center
For companies going through digital transformation, critical systems and processes need high availability, resilience, and especially sustainability. Deployed on a large scale, marginal data centers will be more flexible and sustainable by ensuring the following 4 factors.
Standardization and integration:Most network frontier areas lack or limit IT staffing, so reference design and digital design tools play an important role. Standardization makes operations and maintenance simpler, creating added value for everyone, including partners. At the same time, integrated systems also simplify the operation and management process.
Improve efficiency: Increasing demand for marginal data centers is causing IT staff to face enormous workloads. In-depth data, benchmarking and predictive analysis are the differentiating factors that help improve efficiency at lower costs.
Supervise and manage: Enterprises need to pay attention to predicting and preparing the appropriate systems to react promptly and effectively to problems that arise. The next generation cloud-based edge management platform can help end users and partners manage remote facilities and, at the same time, enable them to collect and analyze data to improve efficiency. with the ability to predict. Furthermore, IT staff can optimize the management of the network edge areas by reducing service costs, minimizing risks, and increasing availability.
Simplify operation and maintenance: When deploying at large scale, businesses need to pre-configure the deployment area, as well as select the appropriate data sub-center. In particular, the system and equipment need to be set to plug and play functionality.
In addition, sub-data centers need to be appropriately designed to minimize maintenance due to difficulty in accessing sites, or a high cost of implementation. In the event of maintenance or troubleshooting, unskilled personnel can do so by themselves according to remote instructions.
Thus, sustainability has always been an essential foundation amid the continued development of the digital world. As marginal computing is increasingly developed and applied globally, businesses need to keep in mind that solutions only really work when processes and systems are optimized.