With the rising IT management level of certain large-scale manufacturing sector, the existing management system has been unable to do real-time processing and analysis of massive and complex data. The deployment of a flexible, multi-purpose, and competitive high-performance memory application device is imminent, which requires a high-performance data base to ensure the efficiency and steadiness of ERP system.
SAP HANA is short for SAP High-Performance Analytic Appliance, opens a brand new category of applications by means of the latest achievements in main memory, processor technology, and application know-how, giving full play to the power of memory data processing to enable analytic application to display unprecedented performance. It helps user to get real-time access to relevant information and gain immediate insight into business operations with a simpler way to improve the capacity of forecasting and planning.
Cisco is a leading SAP-certified partner. In this project, Cisco UCS, as the underlying hardware platform, achieves a unified combination of hardware with software. Cisco Unified Computing System (UCS) architecture provides sufficient extension space for this project, and at the same time, can support the future technological developments. The simplicity of the architecture allows the data center to constantly expand the scale, improve performance and increase the bandwidth, without adding the complexity as the same as the old platform.
The pioneering FCoe technology of Cisco UCS (now an international standard) allows the Fiber Channel traffic to transmit over 10G Ethernet, integrates I/O to the same cable, and reduces the number of adapters, cables and ports. A single network adapter and single connection can connect the server to both Ethernet and Fiber Channel, so as to save equipment and simplify wiring.
Cisco UCS is a unified computing architecture integrating computing, networking, storage access and virtualization technology as one, which is easier to implement the automation of resource allocation. The entire cluster, as a pool of computing resources, performs the unified scheduling and management, and achieves the dynamic scheduling of blade resource and the automatic redundancy switching at the time of blade failure.
ICP:12030646-1
