It all began when technology expands the definition of the utilisation of IoT devices. IoT devices that become more connected to the internet, either to receive from or send back data to the cloud leads to the generation of ginormous amount of data, thus significantly set about the need to shift to a more reliable

Hyperscale edge computing as the future is expectable. There are many catalysts that lead us towards hyperscale edge computing. The main reason is the need for a capable implementation that can improve the efficiency and scalability of data center to accommodate with the amount of data flooding into it. Undeniably, the amount of data is

The rise of hyperscale data centers begun as there is increasing need for more data capacity to ensure communication, commerce and collaboration running. Hyperscale data centers allows businesses to accommodate with the growing demand of cloud and its services by providing flexible and scalable cloud infrastructure. Subsequently, as demands for cloud services such as internet

Covid-19 outbreak had made digital information a crucial need in every organisation. Definitely, the implementation had helped in boosting organisation’s resiliency in adapting the damaging impacts of Covid-19. Significantly, various adoptions of technologies and practice are as well brought into the spotlight in order to accelerate digital transformation and ensure its effectiveness. These adoptions, however,

Recently, edge computing had begun to include local hyperscale data centers. With this evolution, edge computing has now bring forth a new definition; hyperscale edge computing. Undeniably, hyperscale edge computing and the future is emerging. As hyperscale edge computing has no distinct definition, let’s start by understanding the foundation of this computing evolution through the

Edge Computing in IoT. What is edge computing in IoT? Edge computing allows data produced by internet of things (IoT) devices to be processed closer to where it is created instead of sending it across long routes to data centers or clouds. Edge computing is perfect for IoT for three reasons. Firstly because the data is

Device Edge In the first model, customers install and run edge computing software in existing environments. The hardware can be dedicated or shared with other services. In many scenarios, the edge stack is run on low-powered devices running ARM processors. For example, connected trucks can carry an embedded system-on-chip (SoC) computer running the edge software.

As edge computing goes mainstream, it provides a major strategic benefit for a wide range of industries. Here are five ways edge computing will transform businesses in the near future: Lowering IoT solution costs: Edge computing allows you to process and analyze mission critical data closer to the device itself, reducing the amount of data

From real-time data analysis and enhanced application performance to much lower operating costs and scheduled downtime, there are plenty of reasons as to why organizations might begin to employ edge computing technologies into their network infrastructure, but what individual technologies are enabling enhanced networks such as 5G? How are they improving existing network infrastructures and

Adoption of edge computing and applications will ultimately be determined by how well these technologies mesh with business goals and will depend on whether an organization has the resources to effectively implement, manage and monetize them. Several industries are particularly well poised to benefit from edge computing: 1. Smart cities. Edge computing can apply broadly