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How to deal with the data center challenges brought by the Internet of Things?

Created: Jan 19, 2022 21:12:00Latest reply: Jan 20, 2022 05:56:00 178 5 0 0 0
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I want to know, how to deal with the data center challenges brought by the Internet of Things?

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little_fish
Admin Created Jan 20, 2022 01:17:18

Dear wissal,


According to industry analysts, the Internet of Things will comprise 26 billion units by 2020, and data centers will be challenged to process big data. You may think that data security, personal privacy, big data analysis, cloud computing, data center construction, and mobile device management are not the focus of this article. Let's delve into the development of the Internet of Things. I often hear a sentence - the future market of the Internet of Things will have huge development space. In fact, the huge market space of the Internet of Things is not in the future, but in the present.


 A Gartner study shows that the development of the Internet of Things is deeply affecting the data center construction market, and this impact is not only the users, technology providers, the technology itself, market sales, and marketing models.


 Gartner predicts that by 2020, there will be approximately 26 billion IoT units. By then, IoT products and service providers will have more than $300 billion in operating income, mostly in services. This is a direct reflection of the transformation of big data into value.


 We can't imagine how far connected devices will get in the next six or seven years. Back then, we weren't just talking about phones, tablets, laptops, but more personalized devices like people, clothing, cars, animals, houses, weather stations, video cameras, and even drones. In the face of various types of data, data centers that store data at the back end will face enormous pressure. Although the current data center capacity is already very strong. Processing data in real time will become the norm, and CIOs and data center managers will be more agile than ever in the past. But at the same time, IoT will present other challenges for data centers.


 "IoT deployments will generate massive amounts of data that need to be processed and analyzed in real time," said Gartner research director. "Processing massive amounts of IoT data in real time will increase data center workloads and expose vendors to new security, technology, and analytics capabilities challenges."


 IoT remote asset connectivity management will establish data flow between assets and centralized management systems that can be integrated into new and existing enterprise processes, including status information, location, functionality, and more. And real-time information can more accurately understand the condition of assets, and through optimization, it can improve utilization and productivity, and support decision-making more accurately. From the perspective of business needs, it is necessary to provide data analysis based on the Internet of Things environment.


 A large number of devices and a large amount of fast and unstructured IoT data bring challenges to enterprise data centers, especially for security, data storage management, server management, and data center network carrying capacity, real-time business process responsiveness and so on, brought great challenges. Datacenter personnel needs to deploy more forward-looking data center construction plans to meet IoT-related business needs.

Thanks.

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simchamnan
simchamnan Created Jan 20, 2022 05:01:52 (0) (0)
 
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AndresMoreno
AndresMoreno Admin Created Jan 19, 2022 21:22:42

Hello! Thank you for contacting us.
We are working on an answer for you.
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little_fish
little_fish Admin Created Jan 20, 2022 01:17:18

Dear wissal,


According to industry analysts, the Internet of Things will comprise 26 billion units by 2020, and data centers will be challenged to process big data. You may think that data security, personal privacy, big data analysis, cloud computing, data center construction, and mobile device management are not the focus of this article. Let's delve into the development of the Internet of Things. I often hear a sentence - the future market of the Internet of Things will have huge development space. In fact, the huge market space of the Internet of Things is not in the future, but in the present.


 A Gartner study shows that the development of the Internet of Things is deeply affecting the data center construction market, and this impact is not only the users, technology providers, the technology itself, market sales, and marketing models.


 Gartner predicts that by 2020, there will be approximately 26 billion IoT units. By then, IoT products and service providers will have more than $300 billion in operating income, mostly in services. This is a direct reflection of the transformation of big data into value.


 We can't imagine how far connected devices will get in the next six or seven years. Back then, we weren't just talking about phones, tablets, laptops, but more personalized devices like people, clothing, cars, animals, houses, weather stations, video cameras, and even drones. In the face of various types of data, data centers that store data at the back end will face enormous pressure. Although the current data center capacity is already very strong. Processing data in real time will become the norm, and CIOs and data center managers will be more agile than ever in the past. But at the same time, IoT will present other challenges for data centers.


 "IoT deployments will generate massive amounts of data that need to be processed and analyzed in real time," said Gartner research director. "Processing massive amounts of IoT data in real time will increase data center workloads and expose vendors to new security, technology, and analytics capabilities challenges."


 IoT remote asset connectivity management will establish data flow between assets and centralized management systems that can be integrated into new and existing enterprise processes, including status information, location, functionality, and more. And real-time information can more accurately understand the condition of assets, and through optimization, it can improve utilization and productivity, and support decision-making more accurately. From the perspective of business needs, it is necessary to provide data analysis based on the Internet of Things environment.


 A large number of devices and a large amount of fast and unstructured IoT data bring challenges to enterprise data centers, especially for security, data storage management, server management, and data center network carrying capacity, real-time business process responsiveness and so on, brought great challenges. Datacenter personnel needs to deploy more forward-looking data center construction plans to meet IoT-related business needs.

Thanks.

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simchamnan
simchamnan Created Jan 20, 2022 05:01:52 (0) (0)
 
Saqibaz
Saqibaz Created Jan 20, 2022 05:44:53

Thanks for sharing
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Celavay
Celavay Created Jan 20, 2022 05:56:00

I am listing 5 challenges facing IoT and how to overcome them

1. Securing the Edge
Security is by far the greatest concern associated with IoT development. Since each device is connected to a broader edge computing network, the overall attack surface is much larger than a traditional network architecture. To make matters worse, many devices travel between multiple networks, potentially picking up malware along the way that helps cybercriminals bypass some security measures. Many IoT edge devices are also autonomous, which can cause them to behave in ways that traditional network security protocols may not take into account when evaluating risks. Taken together, then, there are quite a few IoT security issues to consider.
To guard against potential threats, organizations should build their networks with the assumption that any device connected to it is already compromised in some way. This allows them to build in protections and authentication protocols that subject devices to rigorous scrutiny and deny them automatic access to potentially sensitive data.

2. Connectivity Bottlenecks
The proliferation of IoT edge devices is already placing strain on many networks. Without the right edge computing framework in place, company networks can be bogged down by latency and subpar bandwidth. Centralized cloud networks create significant bottlenecks, forcing devices to funnel data back to the main servers and waiting for a response. For devices like autonomous vehicles, these processing bottlenecks are simply unacceptable.
In addition to increasing the processing capabilities of the devices themselves, companies can enhance connectivity performance by utilizing edge data centers to take on some of the computing workloads. Located close to the network edge, these facilities can greatly reduce latency and help devices process information faster and more effectively. Edge data centers can also resolve connectivity IoT issues by extending network services into more remote areas and expand the functionality of industrial IoT devices used in agriculture and manufacturing.

3. Government Regulation
Data centers and most technology companies are accustomed to dealing with government regulation and compliance standards. But the rollout of IoT edge devices has happened so quickly that the legal implications this new technology presents have yet to be widely established. Even legal requirements pertaining to customer data are continuing to evolve, as evidenced by the EU’s recent implementation of the far-reaching GDPR standards. Companies that are incorporating IoT edge devices into their network strategies need to consider how shifting legal requirements could impact their operations in the future.
One of the best options for IoT companies looking to avoid these challenges is to partner with a data center that incorporates compliance into every aspect of its operations. These facilities are already anticipating how data collected through IoT edge devices will need to be handled and secured, making them the natural choice for implementing the networks needed to manage that information.

4. Compatibility & Updates
Although there has been a great deal of standardization in the technology industry over the last twenty years, device manufacturers still need to take compatibility concerns into account when building their networks and addressing IoT problems. Not only must networks be able to accommodate a wide variety of IoT edge devices, but they also need to incorporate new functionality that allows their products to deliver additional services. Pushing updates to these devices presents challenges in terms of security and usability.
Since IoT edge devices are always connected to the network, the ability to monitor their current status and software should be built into the core functionality from the very beginning. Updates and compatibility patches should be able to be delivered seamlessly and with minimal user input. By establishing the infrastructure for maintaining these devices, companies can ensure that they will be able to manage them efficiently with minimal service disruption.

5. Customer Skepticism
Apart from many of the practical concerns listed above, companies must also contend with skepticism customers may have regarding the Internet of Things. According to a study conducted by the Dutch cybersecurity firm Gemalto, 90 percent of consumers lack confidence in IoT security, with 65 percent concerned that hackers might gain control of their devices. Considering that many IoT edge devices are intended for use in the home, it’s critically important for companies to address these concerns.
Transparency is a good start when it comes to earning the trust of consumers. People want to know what information is being collected from them, how it’s being used, where it’s being stored, and how it’s being protected. They want to know what happens if one of their devices is compromised and what recourse is available should the company’s servers suffer a data breach. Communicating this information clearly and proactively can go a long way toward dispelling misconceptions about IoT security and winning the confidence of consumers.
While the IoT revolution is already here, organizations should not take the challenges associated with its implementation for granted. Failing to address these areas could lead to embarrassing security lapses, service outages, or ineffective products, making it imperative for companies to put a great deal of thought into the edge computing strategies that power their IoT networks. By working closely with a data center, they can build effective frameworks that allow them to deliver the sort of groundbreaking services customers expect from IoT devices.
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