data center cooling

Modular Data Center Cooling Trends

Data Center Cooling

data center cooling

According to findings from a Global Market Insights report, the worldwide market for data center cooling equipment will reach $20 billion by 2024. This is a significant increase from the estimated $8 billion spent in 2016 to cool data centers. On average, cooling systems account for about 40 percent of the total energy consumption.

Facility owners and data center operators have focused on lowering their PUE (power usage effectiveness), which is the ratio of power consumed by hardware to power consumed to keep it cool. As the density of the servers increase, so does the amount of heat generated even though the individual server components are generating less heat as the technology improves.

The EdgeMCS Modular Data Center cooling uses a rack-based cooling system; these systems are expected to see the highest rate of growth given their design and efficiency.

Choosing the right data center cooling system is key to an efficient modular data center, as is the envelop in which it is housed. With an advanced light-weight concrete structure built to improve energy efficiency, EdgeMCS Modular Data Centers have a long-term value to those that understand the total system engineering of modular data centers. For more information on the engineering design and the advanced data center cooling systems within our MDCs, contact EdgeMCS.

More Data, More Flexibility, Equals Less Security?

The race is on to capitalize on the predicted multi -trillion dollar market investment in the Internet of Things (IoT) technology. Many companies are already seeing the positive business impact of IoT devices in the form of valuable data collected used to track customer behavior and inventory in real time. Additionally, reduction in operating costs associated with efficient usage of connected devices to allow employees the flexibility to work remotely is also an asset to the enterprise. The opportunities are plentiful for IoT to have a significant impact on our global economy, but the security challenges of increased vulnerabilities associated with all things “smart” will need to be addressed.

Seemingly edgeless networks are being created by the data flow between connected devices. This is resulting in harder to manage workplace security environments. Understanding the financial implications of what it would cost in the event of a security breach is difficult; in addition to, the negative impact it could potentially cause to an organization’s reputation. Detecting and preventing security attacks, while still being able to take full advantage of IoT business potential, is top priority for CISOs everywhere. For a closer look into the transformation created by IoT adoption, read full article here.

 

The Network Paradigm Shift With Edge Computing

Evolving technologies such as Augmented Reality (AR) and Internet of Things (IoT) are shifting the core components of cloud computing closer to the end user in the form of edge computing. The traditional model for compute, storage and networking being accessed through centralized resources is being replaced by network architecture that is distributed and decentralized in order to streamline data flow and reduce latency times for data analysis.   This paradigm shift in the network by computing closer to the edge allows for critical data to be analyzed in near real-time which is especially important today in the health care, telecommunications, finance and manufacturing industries.

Due to the explosive growth, vulnerability, and availability of IoT devices, there are security concerns around edge computing even though some experts world argue security is better because data is staying closer to the edge and not traveling as much over the network. In addition to that, the term fog computing in relation to edge computing which includes network connections between the cloud and edge devices is coming into play. All this information can be confusing when trying to digest what it all means for your network architecture. Here’s an article that breaks down the important elements and commonly used terms of edge computing that might help.