Chennai: A senior executive at Dell Technologies told ET that the expected rollout of 5G is playing a key role in edge data center investment in India.
Srinivasa Rao, senior director of systems engineering at Dell, said consumption-based models, edge computing and multi-cloud environments will flourish this year.
He added that the ‘do anything-to-anywhere’ economy requires a highly complex IT system capable of managing the exponential data it generates.
He added that emerging technologies like edge computing, 5G, artificial intelligence (AI) and machine learning (ML) are driving insights discovery from data and digitization of key business processes.
By 2025, much of this data will be processed outside the traditional data center or cloud.
Rao said edge solutions will become the most viable option for real-time data processing and for using data-driven insights at or near the source of data generation.
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“As IT infrastructure becomes more spread out, Dell will focus on simplification and modernization while reducing infrastructure costs,” he said.
“Modern data management is poised to change. Much of the world’s data is predicted to move out of public cloud environments where non-real-time, centralized data is being managed. We anticipate that the entire data management ecology The mechanism will develop and utilize edge IT capability at the entry and exit of its data pipelines, and process and digest data at the edge remotely,” he said.
Egress refers to the traffic that exits an entity or network boundary, whereas ingress is the traffic that enters the network boundary.
Dell anticipates that as the data management ecosystem expands to edge, the number of edge workloads will continue to increase dramatically, and data management will become an untrained class of workload.
“Edge computing is one of the core components of the industrial Internet of Things,” Rao said. “It is instrumental in accelerating the journey towards Industry 4.0 adoption.”
Automated decision-making solutions were one of the factors driving the growth of edge computing, Rao said.
Compute platforms at the Edge are likely to provide lightweight designs that can be successfully deployed regardless of spatial, environmental, power and connectivity constraints. These designs are more secure and can support applications that demand real-time insights, he added.
Rao said one of the biggest challenges is the enterprise IT infrastructure which is overwhelmed by the huge amount of data generated for analysis.
A lot of organizations, he said, were trying to develop edge-specific technologies, operations, and architectures that already exist in their local data centers and in the cloud, and the further organizations go down this path, the more likely they are. Will likely be less able to absorb innovations, control costs, maintain security and avoid complications with vendor management.
“Therefore, in this competitive landscape, to provide best-in-class experience to their customers, organizations need to manage data effectively to extract maximum value from edge to cloud,” Rao said.
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