ECS Application Scenarios

Internet

• No special requirements on CPUs, memory, disk space, or bandwidth
• High security and reliability standards
• Deploying an application on one or only a few ECSs to minimize upfront investment and maintenance costs, such as website development and testing, and small databases

Use general computing ECSs, which provide a balance of computing, memory, and network resources. This ECS type is appropriate for medium-load applications and meets the cloud service needs of both enterprises and individuals.

For details, see General-Purpose ECSs and Dedicated General-Purpose ECSs.

E-Commerce

• Large amount of memory
• Quick processing of large volumes of data
• Large incoming traffic

Use memory-optimized ECSs, which provide a large memory, ultra-high I/O EVS disks, and the needed bandwidths. This ECS type is suitable for precision marketing, E-Commerce, and mobile apps.

For details, see Memory-optimized ECSs.

Graphics Rendering

• High-quality graphics and video
• Large amount of memory and rapid processing of large volumes of data
• Fast network with high I/O
• High GPU performance for graphics rendering and engineering drawing

Use GPU-accelerated ECSs, which adopt NVIDIA Tesla M60 hardware virtualization and provide cost-effective graphics acceleration. These ECSs support DirectX and OpenGL, and provide up to 1 GiB of GPU memory and 4096 x 2160 resolution.

For details, see GPU-accelerated ECSs.

Data Analytics

• Capable of processing large volumes of data
• High I/O performance and rapid data switching and processing, such as MapReduce and Hadoop

Use disk-intensive ECSs, which are designed for applications requiring sequential read/write on ultra-large datasets in local storage (such as distributed Hadoop computing) as well as large-scale parallel data processing and log processing. Disk-intensive ECSs use hard disk drives (HDDs) and a default network bandwidth of 10GE, providing high packets per second (PPS) and low network latency. Each disk-intensive ECS supports up to 24 local disks, 48 vCPUs, and 384 GiB of memory.

For details, see Disk-intensive ECSs.

High-Performance Computing

High computing performance and throughput, such as scientific computing, genetic engineering, games and animation, biopharmaceuticals, and storage systems

Use high-performance computing ECSs for tasks that require large amounts of resources for parallel computing.