Cloud data centers have grown in popularity since the advent of the cloud era. Traditional data centers, on the other hand, will face extinction. Cloud data centers are primarily utilized to provide cloud computing services. After the storage virtualization technology is implemented on a large scale, the network remains in a static mode, making it difficult to allocate resources dynamically based on business needs, impeding the process of full virtualization of IT resources. At the same time, cloud data centers face a number of additional challenges than traditional data centers.
Computing in the cloud Users must be able to rent virtual private clouds from data centers. Tenants can manage their own network resources by configuring their own subnets, virtual machine IP addresses, and ACLs. Different tenants’ IP addresses may overlap. To achieve tenant isolation and security, the data center network must support virtual multi-tenancy capabilities.
Multi-tenancy technology, or multi-tenancy technology, is a software architecture technology that explores and implements how to share the same system or program components in a multi-user environment, and still ensure data isolation between users.
Due to the popularity of cloud computing issues, how to provide the same or even customizable services for most clients with a single system architecture and services in a shared data center, while still ensuring customer data isolation, making multi-tenancy technology the obvious learning of the next generation of cloud computing technology.
Because multi-tenancy technology allows multiple tenants to share an application or computing environment, and most tenants do not consume a large amount of computing resources, multi-tenancy technology can significantly reduce the cost of environment construction for suppliers. Because of multi-tenant technology, the licensing cost of the operating system and related software, including the hardware itself, can be shared by multiple tenants.
The data of multi-tenant technology can be isolated in various ways using various data management methods. The data isolation method will differ depending on the supplier’s architecture design, and a good data isolation method can reduce the supplier’s maintenance cost (including equipment and manpower), and the supplier may access these data analyses within the scope of reasonable authorization as a basis for improving the service.
Virtual Machine Migration Demands
After the virtual machine is deployed, it must be migrated flexibly in accordance with the business, which necessitates the data center network recognizing the virtual machine and deploying the corresponding network policy flexibly in accordance with the deployment and migration of the virtual machine.
Virtual machine migration technology makes server virtualization more convenient. Popular virtualization tools like VMware, Xen, HyperV, and KVM all have their own migration components. Server migration can save users money on management, maintenance, and upgrades. The previous x86 server was quite large; the current server is much smaller.
Virtual machine migration technology makes server virtualization more convenient. Popular virtualization tools like VMware, Xen, HyperV, and KVM all have their own migration components. Server migration can save users money on management, maintenance, and upgrades. The previous x86 server was quite large; the current server is much smaller.
The migrated servers can be managed not only through a unified interface, but also through some virtual machine software, such as VMware’s high availability tools, which allow these servers to be automatically switched to the same network when they are shut down due to various failures. In the virtual server, in order to avoid disrupting business operations.
In summary, the benefits of migration include simplified system maintenance and management, improved system load balancing, improved system error tolerance, and optimized system power management, and large cloud computing data centers typically have tens of thousands of physical servers and hundreds of thousands of virtual machines.
For connection and hosting, a large-scale server farm necessitates thousands of physical network devices and tens of thousands of vSwitches. To improve maintenance efficiency and data center availability, such a large-scale data center network necessitates centralized and unified management, as well as rapid fault location and elimination.
The theme of today is green energy conservation. There are tens of thousands of chips, hard disks, and display screens in tens of thousands of servers. Aside from these servers, the data center houses a large amount of network, storage, and other equipment. These items will use a lot of electricity, raising operating costs and causing energy loss.
The rapid development of the data industry has been fueled by network evolution and the rapid development of data services, which has resulted in larger and larger data center scales, as well as increased power consumption. The geometric progression of data center power load far outpaces the growth of power supply capacity, and power consumption has become a bottleneck limiting the development of data services.
According to statistics, the cost of electricity accounts for more than 60% of a data center’s total operating cost. According to major authoritative organizations’ investigations and analyses of the energy consumption structure and composition of the data center, the energy consumption of a typical data center is primarily composed of four parts:
The first component is the information technology equipment system, which accounts for roughly half of the total energy consumption of the data center and includes server equipment, storage equipment, and network communication equipment. Server equipment accounts for approximately 40% of total power consumption, while storage and network communication equipment account for approximately 10% of total power consumption.
The second component is the air conditioning system, which accounts for approximately 37% of the data center’s total power consumption. The air conditioning and refrigeration system accounts for approximately 25% of total power consumption, while the air conditioning supply and return air system accounts for approximately 12% of total power consumption.
The third component is the UPS power supply and distribution system, which accounts for about 10% of the data center’s total energy consumption. The UPS power supply system accounts for approximately 7% of total power consumption, while the UPS input power supply system accounts for approximately 3% of total power consumption.
The remaining 3% of the data center’s total power consumption is accounted for by the auxiliary lighting system.
The most important thing to do to reduce data center energy consumption and achieve green energy conservation and emission reduction is to reduce the energy consumption of IT equipment. Air conditioning, power supply and distribution systems, and auxiliary lighting systems are all important considerations. To explore energy-saving measures and ideas, the energy-saving design of a green data center should focus on four aspects: IT equipment, air-conditioning system energy-saving, power system and lighting system energy-saving, and so on.
Although cloud data centers offer numerous benefits, they also face significant challenges. Such as technology innovation, cloud data protection, disaster recovery and backup, and mining the business value of cloud data centers, etc.
