CISCO: Cloud networking trends

Essential characteristics of cloud

The annual Cisco Global Cloud Index (2016-2021) shows that data-center traffic is growing rapidly due to increasingly-used cloud applications. According to the study, global cloud traffic will reach 19.5 zettabytes (ZB) in 2021. This is an increase of 6.0 ZB compared to 2016, which is 3.3 times higher, with an annual growth rate of 27%. In three years, cloud traffic will account for 95 % of total traffic, compared to 88 % in 2016.

According to the study, both B2C and B2B applications contribute to the growth of cloud services. For consumers, video streams, social networking, and web search are among the most popular cloud-based apps. For employees, it’s ERP, collaboration and analysis solutions.

 

Security and IoT as a growth driver

Increasing IoT applications, such as smart cars, smart cities, connected healthcare and digital care, require a highly scalable server and storage solutions to meet new and expanded data center needs. In 2021, there will be 13.7 billion IoT connections, compared to 5.8 billion in 2016, the study said.

In the past, security concerns were a major barrier to cloud usage. Improvements in data center control and data control reduce the risk to businesses and better protect customer information. New security features coupled with tangible benefits from cloud computing, such as scalability and efficiency, play an important role in cloud growth.

 

Hyperscale Datacenters Growth

The increasing demand for data center and cloud capacity has led to the development of hyper-scaled public clouds based on Hyper-scale data centers. The study predicts that there will be 628hyper-scale data centers worldwide in 2021, compared to 338 in 2016, nearly the double. In three years Hyperscale data centers will have:

  • 53 % of all data center servers (2016: 27 %)
  • 69 % of the computing power of data centers (2016: 41 %)
  • 65 % of data center data stored (2016: 51 %)
  • 55 % of all datacenter traffic (2016: 39 %)

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The growth of data center applications is exploding in this new multi-cloud world. The predicted increase requires further innovation, especially in the public, private and hybrid cloud sectors.

 

Virtualization of data centers and cloud computing growth

By 2021, 94 % of the workloads and server will be processed in cloud data centers, the remaining 6 % in traditional data centers. All data center workloads and server instances will more than double (2.3x) between 2016 and 2021, while cloud-based workloads and server instances will almost triple (2.7x) over the same period).

The density of workloads and server instances in cloud data centers was 8.8 in 2016, rising to 13.2 by 2021. In traditional data centers, density increases from 2.4 to 3.8 over the same period.

 

Big Data and IoT fuel data explosion

Worldwide, the amount of data stored in data centers will increase almost fivefold, from 286 Exabytes in 2016 to 1.3 ZB 2021 (4.6x, with annual growth of 36%). Big data will grow almost 8x, from 25 to 403 EB. In 2021, it will contain 30 % of all data stored in data centers compared to 18 % in 2016.

The amount of stored data in devices in 2021 will be 4.5 times higher at 5.9 ZB than data stored in data centers. Mainly due to the IoT, the total amount of generated data (which will not necessarily be saved) will reach 847 eg by 2021, in 2016 it was 218 eg. This generates more than 100 times more data than saved.

 

Applications contribute to data growth

By 2021, Big Data will account for 20% (2.5 ZB annually, 209 EB monthly) of data center traffic, compared to 12 % (593 EB annually, 49 EB monthly) in 2016, video streaming will account for 10 % of data center traffic, compared to 9 % in 2016. Video will account for 85 % of data center traffic to users, compared to 78 % in 2016, internet search will account for 20 % of data center traffic, compared to 28 % in 2016, social networks will account for 22 % of data center traffic, compared to 20 % in 2016.

 

SaaS is the most popular cloud service model by 2021

By 2021, 75 % (402 millions) of all cloud workloads and server instances will be SaaS-based, compared to 71 % (141 million) in 2016 (which represents 23 % of annual growth).

16 % (85 millions) of all cloud workloads and server instances will be IaaS-based, compared to 21 % (42 million) in 2016 (which represents 15 % annual growth).

9 % (46 millions) of all cloud workloads and server instances will be PaaS-based, compared to 8 % (16 million) in 2016 (which represents 23% annual growth rate).

 

As part of the study, cloud computing includes platforms that provide continuous, on-demand network access to configurable resources (e.g., networks, servers, storage, applications, and services). These can be quickly deployed and shared with minimal management effort or interactions with service providers. Deployment models include Private, Public, and Hybrid Clouds. Cloud data centers can be operated by both service providers and private companies.

 

The key differences between cloud data centers and traditional data centers are virtualization, standardization, automation, and security. Cloud data centers offer higher performance, higher capacity, and easier management compared to traditional data centers. Virtualization serves as promoter for the consolidation of hardware and software, greater automation and an integrated approach to security.

Vertiv: #DataCenter of Industry 4.0

Data Center Trends

When it comes to deploying IT capacity at the edge, a lot of environmental factors can influence organization’s needs. Each business will vary in deployment size, environmental isolation requirements and ease of transferability to name just a few. So, with the revolution of Industry 4.0, there are many options for your edge data center investment.  As the next generation of data center will no longer be limited to central, large-scale facilities, but will seamlessly integrate the edge of networks that are becoming increasingly intelligent and mission-critical.

 

These 4.0 data centers are currently under construction and will significantly shape the IT networks of the 2020s. The emergence of this edge-based infrastructure is one of the top five data center trends identified by a global panel of experts from Vertiv, formerly Emerson Network Power, for 2018.

 

The main reason and motivation behind a new IT infrastructure are the growing volumes of data-driven by smartphone use and the #InternetOfThings in particular – so they can meet the growing demands of consumers. While companies can go many ways to accommodate this growth, most IT executives choose to bring the infrastructure they need closer to the end user – the edge of the network. Whichever approach companies choose, speed and consistent services will be critical to consumers. That infrastructure needs to be scalable to accommodate accelerating data growth and flexible to allow new ways to use real-time data analytics. 

 

In the past, Vertiv had identified trends around cloud, integrated systems, and infrastructure security. For 2018, the company expects the following five trends that will shape the data center ecosystem:

 

Development of the 4.0 Data Center

 

Generally, large data centers have been placed where energy costs are lower and space is inexpensive. To overcome speed, space, availability issues – Edge data center must be placed much closer to the users. These data center will be generally smaller but more of them in a kind of mesh network arrangement. Because whether it’s a traditional IT cabinets or 150-square-foot micro data centers, companies rely more and more on the edge of the network. 4.0 data centers will give companies the possibility to integrate edge and core holistically and harmoniously. Thus, these new data center architectures are much more than simple and distributed networks.

 

This development is made possible by innovative architectures that provide real-time capacity through scalable and cost-effective modules. These data centers will be cost-effective via the usage of optimized cooling solutions and high-density power supplies, as well as lithium-ion batteries and innovative power distribution units. In addition, these concepts integrate state-of-the-art monitoring and management technologies that allow the simultaneous operation of hundreds or even thousands of distributed IT nodes. As a result, complex structures dissolve. Latency and acquisition costs decrease and utilization is optimized. In addition, enterprises can add network-based IT capabilities when needed.

 

Cloud providers focus on colocation

 

Even though the revenue from wholesale and retail data center colocation market worldwide will reach up to 33 billion U.S dollars, with the increasing numbers of IoT devices, cloud usage is increasing so rapidly that cloud providers often cannot meet the demand for capacity. In most cases, providers focus on delivering services and other priorities, rather than building new data centers. They compensate for under capacities with offers from colocation providers. By focusing on efficiency and scalability, colocation vendors can quickly meet the increasing demand for data center capacity while further reducing costs. And the provider has the freedom to choose their colocation partners that best meet their end-user needs and enable edge computing.

 

Reconfiguration of the data centre middle class

 

With the evolution of the market and rapidly changing consumer’s needs, it is no secret that the biggest growth area in the data center market will be in the hyperscale environment – typically cloud or colocation providers – and edge computing. Traditional data center operators now have the opportunity to reorganize and configure their facilities and resources that are critical to local operations thanks to the growth of colocation and cloud resources.

Multiple data center companies will continue to consolidate their internal IT resources. They will probably use all the options for outsourcing to the cloud or to work with colocation providers and reduce their own infrastructures. Their motivation for this transformation will be quick configurations that can be implemented rapidly and are scalable at short notice. Certainly, these new facilities will be smaller, but more efficient and safer – with high availability at the same time. This matches perfectly to the extremely critical nature of the data that these companies want to protect.

 

High-density Data Center

 

High density has been a hotly challenging subject in the world of data centers for years. But with global data consumption in the zettabytes—and the subsequent demand on IT resources—it’s finally the time to start building up, not out. The data center is all about power and cooling, and high density is how you maximize the usage of those two things.

Over the past decade, data centers have made huge advancements to be able to support the high-density computing of today. Traditionally, data centers used multiple racks of low-power systems that weren’t capable of getting work done efficiently. This is about to change!

Although densities below 10 kW per rack remain the standard, 15 kW is no longer a rarity in hyperscale facilities, and some even approach 25 kW. The main driver of this transformation is the introduction and proliferation of hyper-converged computing systems. This expansion of hyper-converged computing systems is driven by products that are offering new levels of automation, tighter integration between technologies, and, in many cases, software-defined solutions based on scale-out architectures.

 

The world is reacting to edge computing

 

By bringing processing and computing capacities to the edge of the network, businesses reduce latency by highlighting processing and lightening the load on the primary network, supporting better, faster decision-making. The decision to implement an edge computing architecture is typically driven by the need for location optimization, security, and most of all, speed. Three main reasons for the transition to edge computing are the growth of IoT, the pace of technology-empowered business, and evolving user expectations. As today’s data management systems require the most immediate information to support “real-time” decisions that can have an impact of millions of dollars to the bottom line, more and more companies are shifting their computing capacity to the edge of their networks. Also, location optimization reduces data processing from minutes and hours to milliseconds and microseconds and as close to real-time as you can currently get. 

 

About Vertiv
Vertiv designs, builds and services critical infrastructure that enables vital applications for data centers, communication networks and commercial and industrial facilities. For more information, visit VertivCo.com.

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