CC-PCNT02 Collaborative evolution from cloud to edge
Now the cloud to the edge has gradually become a new trend of enterprise deployment, “octopus” is a very image metaphor of the cloud to the edge model in the industry, the octopus body is distributed with neurons, the brain accounts for 40%, the remaining 60% dispersed on the legs, this 1 brain total control coordination +N cerebellum decentralized execution structure, and the center cloud + edge architecture is very similar
In this architecture, the cloud and the edge each play their roles and interact. With powerful data centers, cloud computing provides elastic computing, storage, and network capabilities for service applications, and is applicable to non-real-time and long-term service scenarios. Edge computing focuses on real-time, short-cycle, local decision-making and other business scenarios, such as audio and video live broadcasting, the Internet of Things, meta-universe, etc., sinking the workload to the place away from the terminal device or close to the end user, achieving lower network latency and improving the user experience.
5G and Internet of Things technologies have driven a series of demands for high dCC-PCNT02 ata processing delay requirements such as visual recognition and automatic driving, and traditional data centers cannot respond in time to handle these services. Guo Feng believes that edge data centers can well help data processing services with high latency requirements.
As a global leader in data center infrastructure and digital services, Schneider Electric classifies edge computing into three categories based on infrastructure environment characteristics: The first category, IT environment, that is, specialized IT or computing equipment space, such as server rooms, power distribution rooms of enterprise networks, small data centers, etc., these Spaces are basically built in accordance with standard computer rooms, with good environment and cleanliness; Second, the commercial office environment, such as office areas, warehousing and logistics centers, may have problems with temperature and humidity, noise, dust and other aspects; The third category, industrial and harsh environments, such as production lines, instrumentation rooms, etc., most of this scene equipment is exposed to the factory, and the environmental physical threat pressure is larger.
“These are typical edge computing scenarios that pose operational challenges due to their dispersed distribution, unfriendly environments, and unattended presence.” Sun Boya further added.
As a representative enterprise of edge computing deployment, DBS Bank is the first foreign bCC-PCNT02 ank in China to fully adopt iot sensors in its IT room with independent operation and maintenance. DBS Bank is a leading financial services group in Asia with a presence in 19 markets. It established its China office in Beijing in 1993 and became one of the first foreign banks to incorporate in China in May 2007. DBS China branch network and business has grown rapidly, and there are now 12 branches and 22 sub-branches in China.
Adhering to the principle of “data speaks for all management decisions”, DBS Bank has carried out multiple exploration practices in digital upgrading. In recent years, DBS has continued to explore the use of innovative technologies and digital drivers to improve productivity, and focus on reducing energy consumption and protecting the environment in daily operations. By 2023, DBS has digitized the management of all its computer rooms by installing sensors, and benefited from risk management, environmental sustainability and procurement optimization through edge computing.
