Huawei Service-Driven Distributed Cloud Data Center (SD-DC 2 ) White Paper Prepared by Chen Jian 00224079 Date 2015-02-13 Reviewed by Yang Min 00224058 Wang Jinjun 00257498 Li Ke 00246921 Date 2015-02-13 Approved by Li Yang 00116887 Date 2015-02-18 Authorized by Date Huawei Technologies Co., Ltd. All rights reserved
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Huawei Service-Driven Distributed Cloud
Data Center (SD-DC2)
White Paper
Prepared by Chen Jian 00224079 Date 2015-02-13
Reviewed by
Yang Min 00224058
Wang Jinjun 00257498
Li Ke 00246921 Date 2015-02-13
Approved by Li Yang 00116887 Date 2015-02-18
Authorized by Date
Huawei Technologies Co., Ltd.
All rights reserved
Huawei Service-Driven Distributed Cloud Data Center (SD-DC2) White Paper INTERNAL
1.2.3 Service Driven .................................................................................................................................. 8
1.2.4 Data Innovation ...............................................................................................................................10
1.3 Evolution Plan .......................................................................................................................................... 11
1.3.1 Phase One: From Multiple Virtualization Chimneys to a Converged Resource Pool .......................... 11
1.3.2 Phase Two: From a Converged Resource Pool to an SD-DC2 ............................................................12
After the Industrial Revolution in the 19th century and the popularization of the Internet in the
century after that, society today is entering the Information Age and digitization is sweeping
across all sectors of society. The business processes and IT architecture are critical to
successful digital transformation for enterprises of all sizes. As the transformation-enabling
platform, the IT system is required to keep up to address such pressing challenges as:
Making services more agile
Different from the conventional IT system, which bears only the internal office and
information management system and serves as a cost center, the IT system in the digital
age is fully integrated with the production system and functions as the core platform supporting business development.
An ideal IT infrastructure must fulfill two goals:
− Shorten the rollout period of new services. The new IT system is required to provide
computing, storage, and network resources required for service rollout in the shortest time.
− Quickly respond to more innovative services and cope with Big Data challenges.
During the business operation, a great deal of service and user data is generated. An
ideal IT system is required to quickly consolidate and analyze massive data so as to uncover large hidden values to accelerate service innovation and business growth.
Streamlining management
The traditional IT infrastructures are closely dependent on the application system, which causes IT silos, repeated construction, and waste of resources.
An open IT platform, with services and resources decoupled, is required to realize on-demand resource scheduling to increase resource utilization and reduce costs.
As different service systems require different availability and performance from the IT
infrastructure, the new IT infrastructure is required to manage and analyze IT resources based on service requirements and provide differentiated services.
Creating more open platforms
IT infrastructure transformation cannot be completed in a day. The traditional IT
infrastructure and the cloud-computing-based architecture may coexist for a certain
period time. An open IT infrastructure is critical to the IT infrastructure evolution for enterprises of all sizes.
Huawei Service-Driven Distributed Cloud Data Center (SD-DC2) White Paper INTERNAL
performance, more advanced architecture and open management platform. It is ideal for
enterprise core services, in-memory databases, virtualization, and high-performance computing (HPC).
Scale out: servers allowing high scalability
Different from conventional applications, the applications in the digital economy era
require distributed architecture and massive data processing. The architecture and design
of conventional servers cannot meet these requirements. Huawei provides distributed multi-node servers, such as X8000, for Internet and Big Data applications.
The X8000 is a high-density server boasting high energy efficiency and easy
maintenance. Its innovative architecture allows a maximum of 80 computing nodes or 40
storage nodes. An X8000 supports up to 160 Intel® Xeon® processors when fully
configured with compute nodes and provides 2 PB storage space when fully configured with storage nodes.
Converged: servers with optimal integration and simplicity
Most application systems adopt the modular structure, where the computing, storage, and
network are loosely coupled. The modular structure allows high flexibility and meets
requirements of common applications. However, an increasing number of applications
are required to process a great deal of user data in a short period of time. The loosely coupled architecture has bottlenecks in bandwidth and latency.
To address this problem, Huawei launches the E9000 blade server, which integrates
computing, storage, switching and management. The E9000 server provides high
availability, computing density, and energy efficiency. It has distinguished advantages in
backplane bandwidth, intelligent control and services, flexible configuration and
expansion of computing and storage resources, low network delay, and application
acceleration.
Storage
Virtualization, cloud computing, and Big Data technologies and enterprise business expansion
drive collaboration, which poses new data management requirements. For example,
heterogeneous resource consolidation demands unified data management, multi-service
bearing requires a data sharing platform, and on-demand space deployment demands elastic
smooth expansion. Real-time data encapsulation and periodic archive of historical data are
mandatory for quick response. Massive data management involves transmission, storage,
mining, and archive of PB of data.
To meet these requirements, Huawei launches the OceanStor V3 series storage based on the
converged data architecture to help customers to build future-proofing cloud data
management systems. The OceanStor V3 uses the industry-leading hardware platform, highly
efficient management software, and OceanStor OS to implement multi-level convergence.
The convergence of SAN and NAS increases the IT management efficiency by 50%. The
convergence of the flash memory and conventional storage media offers optimal balance
between performance and capacity. The convergence of production and backup implements
unified data lifecycle management and reduces costs. The convergence of low-end, mid-range,
and high-end storage ensures free data flow. The convergence of multi-vendor storage devices
consolidates enterprise's legacy facilities and maximizes ROI. The OceanStor V3 uses
innovative RAID 2.0+ and decentralized and distributed technologies to implement intelligent
data distribution in cloud data centers and efficient global data sharing.
Huawei Service-Driven Distributed Cloud Data Center (SD-DC2) White Paper INTERNAL