{"id":78602,"date":"2020-04-20T13:42:25","date_gmt":"2020-04-20T11:42:25","guid":{"rendered":"https:\/\/prohoster.info\/blog\/administrirovanie\/reshenie-hidc-dlya-postroeniya-sovremennoj-ikt-infrastruktury-czod-na-osnove-oborudovaniya-huawei-enterprise"},"modified":"2020-04-20T13:42:25","modified_gmt":"2020-04-20T11:42:25","slug":"reshenie-hidc-dlya-postroeniya-sovremennoj-ikt-infrastruktury-czod-na-osnove-oborudovaniya-huawei-enterprise","status":"publish","type":"post","link":"https:\/\/prohoster.info\/en\/blog\/administrirovanie\/reshenie-hidc-dlya-postroeniya-sovremennoj-ikt-infrastruktury-czod-na-osnove-oborudovaniya-huawei-enterprise","title":{"rendered":"HiDC solution for building a modern ICT infrastructure for data centers based on Huawei Enterprise equipment","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Taking a bird's eye view of all the modern solutions from Huawei Enterprise presented in 2020, we now move to more specific and detailed discussions about individual ideas and products that can serve as the basis for digital transformation for both large enterprises and government entities. Today, we will discuss the concepts and technologies on which Huawei proposes to build data centers.<\/p>\n

\"HiDC
\n<\/a><\/noindex>
\nIn the era of the 'connected world', data storage and processing tasks require new approaches at all stages of data centers' life cycles. They need to become both simpler and 'smarter' in order to handle their role as central elements of the global digital economy infrastructure.<\/p>\n

In 2018, humanity stored 33 zettabytes of information, but by 2025, its total volume is expected to grow more than fivefold. Three decades of experience in developing ICT infrastructures have allowed Huawei to prepare well for the impending 'data tsunami' and offer its partners and clients the concept of an intelligent data center, encompassing all stages of its construction, operation, and maintenance. The elements of this concept are unified under the common name HiDC.<\/p>\n

\"HiDC
\n<\/p>\n

Digitalize this<\/h2>\n

\nA fresh joke is circulating online: who accelerated the digital transformation of your company the most \u2014 the CEO, the CTO, the board of directors? The coronavirus epidemic! Only the lazy aren\u2019t hosting webinars, writing articles, or explaining how to act and what to do. But all this is reactive. Some were prepared in advance.<\/p>\n

Not out of boastfulness \u2014 but for objective reasons, let's take our company as an example, where digital transformation was broadly initiated a few years ago. At present, we are able to transition almost all employees to work from home without any loss of efficiency. A notable example is the hospital built in the city of Wuhan in ten days. There, digital transformation manifested itself in that all IT systems were deployed in three days. So digital transformation is not about 'when' and 'why', but about 'how'.<\/p>\n

\"HiDC
\n<\/p>\n

Architectural approach instead of spontaneous development<\/h2>\n

\nWhat key problems do we face when we begin to build a system? So far, all our clients have been working in a mode that combines business tasks with applied services and IT solutions. It is quite challenging to gain an overall understanding of how such a complex functions if it has simply been constructed by adding various blocks. To build a system as a cohesive organism, an architectural approach is essential. This is precisely what we have embodied in the ideology of our solution, HiDC.<\/p>\n

\"HiDC
\n<\/p>\n

Maximum value and minimum cost<\/h2>\n

\nThe entire structure of HiDC consists of two main slices. The first represents what you are used to seeing with Huawei \u2014 classic infrastructure. The elements of the second slice can best be summed up with the term 'intelligent data.' <\/p>\n

Why is this necessary? Nowadays, many companies accumulate enormous volumes of information, often fragmented or accessible through various 'intermediaries.' Just take ordinary databases, for instance. Ask your database administrators how well these databases are interconnected and how to utilize the information from them in BI systems for making business decisions. Surprisingly, databases are often very poorly connected to each other and function as separate 'islands.' Therefore, we primarily considered which architectural approaches could eliminate this problem.<\/p>\n

\"HiDC
\n<\/p>\n

The Principles of HiDC Architecture Design<\/h2>\n

\nLet's examine the main principles of HiDC design. This will primarily be useful not only for specialists in a specific field but also for solution architects who can take a holistic view of the entire panorama. <\/p>\n

The most common elements are the converged networks block and the data management block. Here, the concept of data lifecycle management arises, a notion that solution architects rarely think about. It has migrated from traditional databases into many other systems, including cloud and edge computing.<\/p>\n

The number of edge computing applications is increasing. A clear example of their use is the self-driving car, which ideally should be managed from a single platform. Additionally, there is a trend towards 'green' technologies\u2014more energy-efficient and causing minimal harm to the environment. Both can be achieved by transitioning to intelligent resources (more on that later).<\/p><\/blockquote>\n

It's fantastic when we have all six blocks of the HiDC structure at our disposal. However, customers often work within previously created environments. Nevertheless, the use of even one block from the scheme above can yield results. If we add a second, third, and so forth, the synergistic effect begins to emerge. Just the combination of a network and a distributed data storage system will provide higher performance and lower latency. The block approach allows us to develop not chaotically, as often happens in the industry, but by utilizing a comprehensive architectural approach. The openness of the blocks themselves offers freedom in choosing the optimal solution.<\/p>\n

\"HiDC
\n<\/p>\n

The Era of Convergent Networks<\/h2>\n

\nRecently, we have been actively promoting the concept of convergent networks in both global and Russian markets. Today, our clients are already using convergent solutions based on RoCEv2 (RDMA over Converged Ethernet v2) to build distributed software-defined data storage systems. The main advantage of this approach is its openness and the lack of necessity to create an indefinite number of disparate networks.<\/p>\n

Why didn't we do this earlier? Let\u2019s remember that the Ethernet standard was developed in 1969. Over half a century, numerous problems have accumulated, but Huawei has learned to solve them. Now, thanks to a series of additional actions, we can use Ethernet for mission-critical applications, high-load solutions, etc.<\/p>\n

\"HiDC
\n<\/p>\n

From DCN to DCI<\/h2>\n

\nThe next significant trend is the synergistic effect of implementing DCI (Data Center Interconnect). In Russia, unlike in China, something similar can only be found among telecommunications operators for now. When clients consider networking solutions for data centers, they usually do not pay enough attention to the deep integration of optical networks and traditional IP solutions within a single point of presence. They rely on familiar solutions that operate at the IP layer, which suffice for their needs. <\/p>\n

So why is DCI needed? Imagine that the DWDM node administrator and the network administrator operate independently. At some point, a failure occurring with either of them can severely lower your redundancy. However, if we apply the principle of synergy, IP routing takes into account what is happening on the optical network. Using such an intelligent service significantly increases the number of nines in the overall system availability.<\/p>\n

Another significant advantage of our DCI is the substantial performance reserve. By summing the capabilities of the C and L bands, we can achieve about 220 wavelengths. This reserve is unlikely to be quickly depleted even by large corporate clients, considering that our current solution allows the transmission of up to 400 Gbps through each wavelength. In the future, the same equipment can reach 800 Gbps.<\/p>\n

Additional convenience is provided through the overall manageability we offer via traditionally open interfaces. Through NETCONF, management is executed not only for switches but also for optical multiplexing devices, enabling convergence at all levels and perceiving the system as an intelligent resource rather than just a 'set of boxes.'<\/p>\n

\"HiDC
\n<\/p>\n

Edge computing is becoming increasingly important.<\/h2>\n

\nMany are aware of Edge Computing. And those involved in cloud and traditional data centers should note that we have recently observed a significant shift towards edge computing.<\/p>\n

What is causing this? Let's look at common implementation patterns. There is currently much discussion about 'smart cities', 'smart homes', and so on. This concept allows developers to create added value and increase property prices. A 'smart home' recognizes its resident, allows entry and exit, and provides certain services. According to statistics, such services increase the price of apartments by about 10-15% and can generally encourage the development of new business models. It has also been mentioned before about the concepts of autopilots. Soon, the advancement of 5G and Wi-Fi 6 technology will enable extremely low latency in data transmission between edge-computing 'smart' homes, cars, and the main data center. This will make it possible to perform a much larger number of operations related to serious data processing. For such tasks, in particular, neural processors can be used, which are already being supplied to Russia.<\/p>\n

The potential of the trend just outlined is undeniable. Imagine, for example, an intelligent system for managing urban transport that is capable of controlling traffic lights, regulating traffic loads on specific streets, or even taking appropriate actions during emergencies.<\/p>\n

\"HiDC
\n
\nNow let's turn to the resources that we provide for the implementation of the HiDC concept.<\/p>\n

Computations<\/h2>\n

\nWhen we need to implement a standard computing system, processors with x86 architecture are naturally used. However, as soon as customization is needed, it's time to consider more diverse solutions. <\/p>\n

For instance, ARM processors, due to their large number of cores, are excellent for applications with a high degree of parallelism. Multithreading yields a performance gain of about 30%.<\/p>\n

If low latency is critically important to us, field-programmable gate arrays (FPGAs) come to the forefront. <\/p>\n

Neural processors are primarily needed for solving machine learning tasks. If for a specific implementation we need 16 racks with 8 servers in each, packed with neural processors, then a solution of the same level based on x86 architecture would require approximately 128 racks. As you can see, the wide variety of calculation types necessitates careful selection of hardware platforms.<\/p>\n

\"HiDC
\n<\/p>\n

Data Storage<\/h2>\n

\nFor the second year, Huawei has been urging partners, clients, and industry colleagues to build data storage systems based on the Flash Only principle. Most of our clients use mechanical spindle drives only in old solutions or for rarely used archived data.<\/p>\n

Flash systems are also evolving. The market is seeing systems like Intel Optane that utilize Storage Class Memory (SCM). Interesting developments are showcased by Chinese and Japanese manufacturers. Currently, SCM outperforms all other solutions in terms of processing class, though high costs still limit widespread adoption.<\/p>\n

At the same time, we see that the quality of storage systems needs to be improved not only on the backend but also on the frontend. Currently, in new implementations, we typically offer and utilize mechanisms for direct memory access via Ethernet, but we see client demand, so by the end of the year we will begin to utilize NVMe over Fabrics more often. This will be end-to-end to ensure an overall architecture that is, of course, high-performance and resilient to controller failures. <\/p>\n

The OceanStor Dorado data storage system is one of our flagship products. Internal testing has shown that it delivers performance of up to 20 million IOPS, maintaining functionality even with the failure of seven out of eight controllers.<\/p>\n

What is the purpose of such power? Let's consider a current situation. For several months, residents of China have been spending significantly more time at home due to isolation measures. Internet traffic has increased by an average of 30%, and in some provinces, it has even doubled. The consumption of various network services has surged. At some point, banks began to experience severe additional loads for which their storage systems were unprepared.<\/p>\n

It is clear that 20 million IOPS are not currently required by everyone. But what about tomorrow? Our intelligent systems fully unlock the potential of neural processors to ensure traffic compactness, deduplication, optimization, and rapid data recovery.<\/p>\n

The Backbone Network<\/h2>\n

\nAs we mentioned in previous materials, 2020 will be the year of backbone networks for us. Many clients, especially application service providers (ASP) and banks, are already considering how their applications will operate in terms of connectivity with data centers (DCs) and between DCs. This is where the new backbone network comes into play. For example, the largest Chinese banks have transitioned to simplified backbone systems that use a couple of protocols\u2014OSPF and SRv6\u2014for communication between DCs, rather than relying on a dozen different protocols, while still receiving the same set of services. <\/p>\n

\"HiDC
\n<\/p>\n

Intelligent Resources<\/h2>\n

\nHow to utilize data? Until recently, there existed a fragmented system of diverse databases: Microsoft SQL, MySQL, Oracle, etc. Solutions from the realm of big data were required to gather, integrate, and work with this data. All of this placed a heavy load on resources.<\/p>\n

At the same time, there was no mechanism for performing data operations triggered by specific events. The solution lay in the development of data lifecycle management (DLM) principles.<\/p>\n

Everyone has heard of data lakes. With the transition from data management to data governance, these 'digital lakes' have rapidly become 'smarter,' in part thanks to Huawei solutions. In future materials, we will definitely discuss the entire stack of software technologies we have used. It is important to note that it was the application of smart data lifecycle management that allowed us to simplify the use of our network and servers, as well as learn to build seamless architectures for better understanding of data interaction.<\/p>\n

\"HiDC
\n<\/p>\n

Data Center Engineering Infrastructure<\/h2>\n

\nWe will publish separate materials dedicated to engineering infrastructure; however, in the context of today's topic, we would like to mention the changes related to the HiDC concept.<\/p>\n

For a long time, the use of lithium batteries in Uninterruptible Power Supply (UPS) systems for data centers was banned due to their high fire hazard. Any mechanical damage or breach of the battery's integrity could lead to ignition and unpredictable consequences. As a result, UPS were equipped with outdated lead-acid batteries, which have a low specific charge density and significant weight.<\/p>\n

In new Uninterruptible Power Supply systems, Huawei employs safe lithium iron phosphate (LFP) batteries with intelligent proactive management. For the same capacity, they occupy three times less volume compared to lead-acid batteries. Their lifecycle is 10-15 years, which, among other things, reduces the environmental burden they create. The patented management system within the SmartLi ecosystem allows the use of hybrid systems consisting of both old and new battery arrays, while the switching system permits 'hot' changes to the UPS structure with continuous preservation of the backup function.<\/p>\n

\"HiDC
\n<\/p>\n

Smart Operation<\/h2>\n

\nAn important part of the operating principles for HiDC infrastructure is the ideology of smart self-healing. In one<\/a><\/noindex> of our previous publications, we mentioned the intelligent O&M 1-3-5 platform, which can not only detect and analyze an undesirable event in the system, but also suggest several fully automated solutions to the administrator.<\/p>\n

The self-analysis function allows issues to be detected in about a minute. Three minutes are spent on analysis, and within five minutes, proposals for changing the system's status are generated.<\/p>\n

Suppose an operator's error resulted in the formation of a feedback loop in processes, reducing the virtualization farm's performance from 100% to 77%. The data center administrator receives a corresponding message on their dashboard, which contains a complete visualization of the problem, including the network diagram of the resources affected by the undesirable process. The administrator can then proceed to rectify the situation manually or utilize one of several suggested automated recovery scenarios.<\/p>\n

\r\n \"Play\r\n
<\/div>\r\n <\/div><\/center>
\nThe system knows about 75 scenarios that can be implemented in less than ten minutes. Moreover, they cover 90% of the problems that occur in data centers. During this time, an engineer can calmly respond to calls from concerned clients, confident that the service will be restored at any moment.<\/p>\n

\"HiDC
\n<\/p>\n

New Key Products at HiDC<\/h2>\n

\nIn addition to software products, key solutions operating at the infrastructure level should be mentioned here. First and foremost, we need to highlight the neural processors used in our Atlas family AI clusters, as well as servers based on NPU and GPU.<\/p>\n

Moreover, we must again mention Dorado and its record-breaking performance in its class, which will suffice for many years to come. This is especially relevant in the post-Soviet space, where, with few exceptions, it is customary to update something only when it completely stops working. This explains the service lives of certain storage systems reaching ten years. Dorado needs enormous performance to ensure high quality service delivery even after ten years.<\/p>\n

\"HiDC
\n<\/p>\n

Innovation in Every Element<\/h2>\n

\nWhen selecting specific infrastructure solutions, it is essential not to forget about architecture and its further development scenarios. Disparate products from different manufacturers do not guarantee the expected synergistic effect, which will be provided by solutions already optimized for joint use.<\/p>\n

The foundation of the infrastructure should be built on the right technologies. 'Right' means, among other things, open solutions that provide high bandwidth and function reliably under heavy loads. For data centers, for example, a good ratio of total energy consumption to IT load is important. To achieve all the listed goals, the right environment and components must be chosen. In modern conditions, this also means increasingly widespread use of artificial intelligence.<\/p>\n

In our observations, among Huawei's strategic customers, fewer and fewer are those who still do not use machine learning systems. Without ML, it is simply impossible to maximize the monetization of accumulated data.<\/p><\/blockquote>\n

The monetization system can vary: banks may offer new targeted products, telecom operators may provide personalized services and ensure customer loyalty, and public sector clients may focus on quality data lifecycle management and a high level of interaction with other organizations. Indeed, data management models have long gone beyond merely configuring firewalls and ensuring network visibility of their databases.<\/p>\n

From Idea to Operational Data Center<\/h2>\n

\nBuilding a standard data center takes, at best, from one year to a year and a half. Our manufacturing cycle allows us to do this much faster thanks to a set of solutions bundled under the common name FusionDC 2.0. Design, development of high-level design, and assembly of all IT load components are carried out directly at the factory. In a short time, equipment is delivered from China to Russia in shipping containers. As a result, a turnkey data center can be established in literally four to five months.<\/p>\n

The idea of a prefabricated cloud data center is also interesting because the data center can be developed in phases by adding necessary functional blocks. This approach is ingrained in the very concept of HiDC.<\/p>\n

\r\n \"Play\r\n
<\/div>\r\n <\/div><\/center>
\nTo avoid turning the review material into a datasheet, we invite you to go for additional information on HiDC to our website<\/a><\/noindex>. There you will find descriptions and examples of the approaches, products, and solutions we discussed. The more materials will be available, the higher your level of access to the site. If you are assigned the status of 'partner', you will be able to download HiDC roadmaps, technical presentations, and videos.<\/p>\n

Let\u2019s risk assuming that most readers of this article have the competencies of network architects. They will certainly be interested in visiting our design zone<\/a><\/noindex>. There we explain in detail how to build network infrastructure following the rules of Huawei Validated Design (HVD). Downloadable guidelines will help you understand how the company's solutions work. Just remember that without authorization, you will have access to fewer materials.<\/p>\n

***<\/h2>\n

\nYou can get guidance from numerous webinars conducted not only in the Russian-speaking segment but also at the international level. During these sessions, we share information about our products as well as our business practices. For instance, we discuss how Huawei continues to ensure the uninterrupted delivery of its products to various countries despite disruptions in many service chains. Recently, there was a case where newly manufactured equipment for a data center reached a Moscow client in just three weeks.<\/p>\n

The list of webinars for April is available at the link<\/a><\/noindex>.
\n
Source: habr.com<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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