Data center in the era of Internet of Things

Source: Internet
Author: User

Jefkraus


Smart cars, smart homes, all kinds of smart products ... Embedded smart devices have changed our way of life and redefined the global industry model. How to connect and support these smart devices is a huge challenge for IT management teams in the data center today.


Challenge one: An ever-evolving internet


The internet is designed to connect humans. The internet has undergone several changes to address the huge growth in user base and the flexible and ubiquitous access needs of today's smart devices and apps. Yes, people want to connect devices and data 7 * 24 hours a day. According to a survey by Nielsen, adult smartphone users now spend 65% more time per month on apps than they did two years ago.


This change in behavior has led to a rapidly increasing flow of Internet traffic to the data center. On Facebook, for example, the company reached 1 billion visitors a day in August 2015.

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As the internet connects more and more people each day, another important data center traffic comes from unmanned smart devices deployed in an industrial environment. Two-thirds of the world's economies today rely on the services of network equipment. Gartner expects 25 billion IoT devices to be put into use by 2020, and IDC predicts that the development of the Internet of things will increase the number of smart devices to 30 billion units.


Challenge two: Building a data center


More devices mean more traffic and higher requirements in the data center. It teams are constantly striving for greater efficiency and doing more with fewer resources. However, with the rapid development of the Internet of things, the past methods are far from enough. Virtualization and integration management have become the basic means, and the demand for servers is increasing.


One of the biggest demands comes from the scale of the challenge. With the development of IT infrastructure, more devices are being integrated into the service range, and there is more demand for servers. In the case of smartphones alone, a new server is needed for every 600 phones to provide services. In addition, it teams are faced with dynamic changes in the environment. In addition to large network traffic, various forms of requirements and services also make the workload unpredictable.


Energy consumption and how to ensure local power quality and high availability have become one of the challenges of large data center siting. The data center consumes energy as a percentage of the world's energy supply, and the proportion is growing. As a result, high-growth energy budgets have become one of the most important parts of data center operating costs.


Smarter Data Center


Energy consumption has always been one of the major challenges for data centers, but energy management can not only be used to manage the cost of electricity and refrigeration, but also to do more. Energy consumption is the pulse of the data center, and we can monitor the changes in energy consumption to analyze the potential pitfalls of activity levels, workload changes, and ongoing operations to optimize management and improve efficiency.


In other words, energy management is the focus of bringing data centers to faster and more efficient IT management.


The IT infrastructure team can work more efficiently by simply connecting the mounted temperature and energy sensors in modern data center devices. Middleware solutions designed to collect and centralize real-time data analytics make data center operations more intelligent and decision-making more informative, making it possible to automate a range of automation functions.

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Advanced high-quality visibility and control technologies brought by energy management middleware Solutions:

    • Real-time monitoring through heat and energy consumption to track engine room hotspots and underutilized resources

    • Trend analysis using real historical data rather than theoretical values

    • Energy allocation and energy consumption caps settings

    • dynamic management Policy implementation (priority/automated energy configuration)

    • Higher-density data centers (fewer servers, more servers for stand-alone cabinets, and more cabinets to be placed in the machine room)

    • Reduce energy consumption (reduce underutilized resources and set energy limits to avoid exceeding energy budgets without compromising performance)

    • Safe and controllable to improve the operating temperature of the engine room (reduce the refrigeration cost), the introduction of advanced refrigeration methods

    • Replacing expensive, intelligent PDU devices with middleware (software) devices


The best-in-class data centers are constantly enriching these uses, while energy monitoring has become a standard tool for many IT teams from the Internet of things services.


Smart deployment options


The wide range of energy management solutions can be confused with large, product-rich data center infrastructure management solutions. Data Center Infrastructure Management (DCIM) is still exploring more mature, effective, and affordable solutions, and the complexity of its deployment has left many customers hesitant. System integration often takes months, and the data Center infrastructure management solution needs to be effectively combined with the customer's existing record system, information service management platform, or configuration management database.


However, the energy management middleware solution can also be stripped out of the data center infrastructure management platform separately from the use. Data center managers can now choose an energy management solution that is easier to deploy, with significantly less overhead and immediate return on investment.


The choice of solution deployment reflects the growing demand for energy management for data center operations and the increasing reliance on temperature and energy monitoring and management as the basis for data center management. With the fact that the internet of things is already a reality, energy management is a great way to connect data centers with the users and devices they serve.


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Author Introduction:

Mr. Jefkraus is the general manager of Data Center Manager (DCM) solutions for Intel Corporation in the United States. At Intel Corporation, Jefkraus has more than 13 years of team management experience. His team is developing a middleware product for energy and thermal management. Mr. Jefkraus holds an MBA degree from Boston University in Business administration.


This article is from the Intel Data Center Management specialist blog, so be sure to keep this source http://inteldcm.blog.51cto.com/11451124/1767549

Data center in the era of Internet of Things

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