HUAWEI Company Overview HUAWEI TECHNOLOGIES CO LTD www

HUAWEI Company Overview HUAWEI TECHNOLOGIES CO. , LTD. www. huawei. com

Focusing on Information Transmission, Storage, and Distribution to Provide ICT Solutions and Services for Three Business Groups Serving hundreds of millions of consumers Serving global carriers Focusing on high-value industries Consumer Business Carrier Business Enterprise Business A brand loved by consumers Customers' best strategic partner Enterprises' best innovation partner A Global Leader of ICT Solutions Information Distribution and Presentation Smartphones MBB & home devices Wearable devices Vehicle telematics Page 2 Information Transmission Mobile networks Enterprise networks Fixed networks M 2 M connection management platforms Carrier software and core networks Professional services HUAWEI TECHNOLOGIES CO. , LTD. Information Storage Data center infrastructure Big Data analytics platforms Cloud services

Huawei at a Glance 228 79, 000 Ranking in the Fortune Global 500 170+ Countries Page 3 16 R&D employees R&D centers 176, 000 36 Employees Joint innovation centers HUAWEI TECHNOLOGIES CO. , LTD.

Globalized Resource Deployment and Localized Business Operations Netherlands Toronto Germany Ottawa Hungary Romania Silicon Valley China Bahrain Mexico India UAE Malaysia Huawei headquarters Brazil Accounting shared service center Mauritius Bidding center Supply center & hub R&D center Argentina Training center Technical support center l l Operations in 170+ countries; 176, 000+ employees comprising 160+ nationalities worldwide; 72% localization rate. Huawei's global value chain allows the smooth transfer of capabilities around the world, develops and retains talent in local countries, and creates jobs and economic opportunities. Page 4 HUAWEI TECHNOLOGIES CO. , LTD.

Continuous Effective Growth Sales Revenue l business units through focused strategy 60. 8 USD Billion 32. 4 46. 5 35. 4 Achieved sustainable and effective growth in core l 39. 5 Enterprise business made rapid growth through focused efforts in public safety, finance, transportation and energy l Consumer business established premium brand image and witnessed effective growth l Carrier business achieved steady growth and consolidated technology leadership and competitiveness 2011 Page 5 2012 2013 2014 2015 HUAWEI TECHNOLOGIES CO. , LTD.

Enterprise Business Focusing on One-stop New ICT Infrastructure Featuring Cloud Computing Centricity and Cloud-Pipe-Device Synergy MES Cloud Data Centers CRM Cloud OS ERP PLM Big Data Storage Analytics Platforms Servers Pipe Security Service Agile Campuses Device Page 6 Data Center Networks Io. T Agile Gateways e. LTE IP Networks Telepresence Transport Networks WLAN Video Conferences/IVS HUAWEI TECHNOLOGIES CO. , LTD.

Huawei is Committed to Building a Better Connected World Agile Innovation Ubiquitous Connectivity Inspired Experience l Everywhere: mobile broadband, fixed broadband, and enterprise networks l New business models: Big Data analytics, smart industries, and cloud services l Everything: connectivity between people and people, people and things, things and things, and people and services l New smart ecosystems: device-cloud ecosystems that suit both work- and life-based scenarios l Everyone: bridging the digital divide to ensure affordable broadband for all l New operating models: Internetized Operations l New technological revolutions: SD-DC 2, SDN/NFV, and 5 G l Speed: ultra-broadband, zero wait time l Quality: 4 K videos and Mirror. Sys immersive communication l Freedom: Real-time, Ondemand, All-online, DIY, Social (ROADS) l A Better Connected World is on the horizon. It will have a far-reaching impact on every individual, organization, and industry. l We are committed to building a more efficient and integrated information logistics system that links people to people, people to things, and things to things. l We are connecting systems, businesses, cities, societies, and people around the world, improving efficiency, transforming industries, creating a better experience for everyone, and enabling the free exchange of thoughts and ideas. Continuous innovation and open cooperation based on customer needs and leading technologies Page 7 HUAWEI TECHNOLOGIES CO. , LTD.

Global Partners Analysts Academy Industry Stanford Research Institute Page 8 HUAWEI TECHNOLOGIES CO. , LTD. UIUC

Cloud Service Strategy: Working with Partners to Build an Open Cloud Ecosystem Internet apps Universal apps Industry apps • Games/ video • Enterprise websites/ e -business. . . • E-government/ smart • OA/ ERP/CRM city • HR/Finance/Enterprise • Smart transportation/ communication… media services… Business strategy: Jointly build the cloud ecosystem by positioning open business cooperation as the core and technology cooperation and talent cultivation as support. Ø Focus on Iaa. S, enable Paa. S, and aggregate Saa. S; adhere to "Being Integrated". Paa. S Fusion. Stage Fusion. Insight Ø Never monetize data in the enterprise market; data belongs to customers. Ø Fusion. Sphere Position working with carriers as our first choice when providing enterprise cloud services. Iaa. S Unique advantages: Servers Storage Data center networks ü Technology accumulation based on core technologies developed inhouse. ü Open hybrid cloud support using compatible Open. Stack architecture. Page 9 HUAWEI TECHNOLOGIES CO. , LTD.

T-Systems and Huawei Work Together to Leverage Strengths from Two Continents Many years of partnership + Huawei § Providing open, converged, and agile enterprise-level public cloud solution with high problem-solving competence and flexibility § Gold member of the Open. Stack Foundation T-Systems § Deutsche Telekom’s ubiquitous network, connectivity, and T-Systems’ understanding of enterprise applications and service advantages 'Made in Germany' § Operates and manages the platform in TWIN-CORE HIHG LEVEL DATA CENTER T 3+ ( Biere and Magdeburg ) in Germany with exclusive platform control Utilizing T-Systems technology and quality leadership in cloud services and Huawei's cutting-edge technology and problem-solving competence, we secure the best prices, services, and quality of our customers' IT transformation into the cloud. Page 10 HUAWEI TECHNOLOGIES CO. , LTD.

Huawei Big Data Platform Architecture Application service layer REST/SNMP/Syslog Open. API/SDK Data. Farm Data Porter Information Knowledge Miner Farmer Hadoop API HIVE Hadoop M/R Spark Storm Wisdom Plug-in API HDFS/HBase System mgmt Service governance Solr Yarn/ Zoo. Keeper Manager MPP DB Security mgmt l The Hadoop layer provides Big Data processing environments and delivers enhancements based on open source software. l The Data. Farm layer provides end-to-end data insight, builds the data supply chain from data, to information, knowledge, and wisdom. Data. Farm includes Porter for data integration, Miner for data mining services, and Farmer for data service frameworks. l Fusion. Insight Manager is a distributed management framework. The system administrator can control the distributed cluster from a single access point, including system management, data security management, and data governance. Page 11 HUAWEI TECHNOLOGIES CO. , LTD.

Key point: Highlight Huawei's global layout, excellent resources, and best practices. Huawei Builds Up Professional R&D Teams Globally Canada Research Center: Yarn/large-scale scheduling Hardware acceleration Finance Big Data analysis Xi'an Research Center: Hadoop products ELK/MPP DB European Research Center: Distributed memory DB Distributed computing algorithm US Research Center: Spark ELK/MPP DB Big Data acceleration India Research Center: Hadoop Data visualization MOLAP Hangzhou Research Center: Hadoop & Spark Stream computing Shenzhen Research Center/Hong Kong: Big Data insight platform Big Data solution Data mining algorithm Huawei announces Big Data as one of the four strategic directions into the future and plans to invest thousands of R&D talents in this field. Page 12 HUAWEI TECHNOLOGIES CO. , LTD.

Euler : Core Software Infrastructure of “Device--Pipe--Cloud” Device Pipe Cloud Base. Station, Controller transmission network 、PTN, AN Business & APP IOT Key Value Best Easy Trusted Experience Ultimate Enterprise Lite OS Business : Abstract, Decoupling, Enable Make Io. T hardware more Intelligence(Inte rconnection, low power consumption, KB) Personal Public Cloud. EDGE Cloud. BB Performance Availability Efficiency Security Mobile OS Media OS i. COS Since the selffast, high For the best quality, the research chip build extreme mobile office best experience security experience together experience all format MCCP Cloud. DSL/OLT Euler. RTOS Euler. OS(Server. OS) High real-time, high reliability, easy to maintain Highly reliable, safe, open, easy to maintain Programming Technology Static compiler Programming Language Across different nodes/DC resource pooling and scheduling, high performance (delay & overhead), high efficiency (TTM), high resource utilization (Ondemand) Linux Kernel Unified the Linux kernel and the innovation, synchronous community, ARM/x 86 enabled, high performance, high reliability, easy to maintain Hardware Telco OS On-Demand Scale-Out UVP ( virtualization ) Hardware : Abstract, Decoupling, Enable Page 13 Family Wireless PS isomorphism / Heterogeneous Integrated Core （Kylin、ARM 64、X 86…） …… SDK/Tools Performance, high capacity SIGMA、GAMA、COTS Hardware、network、store HUAWEI TECHNOLOGIES CO. , LTD.

Gauss DB - Multiple database systems covers all industries Mainframe/ Embedded Minicomputer PC Server integration Scale-up hierarchical Cloud Computing Traditional IT Page 14 ②Cluster ③ Distributed Execution engine Storage engine Disk engine FS OS/Virtualization Chips HUAWEI TECHNOLOGIES CO. , LTD. Unified data management between DC DCs as a Computer ★ Distributed database OLTP DB SQL Engine Mem engine Internet Interface and Driver Sophisticated analysis of structured data, up to petabyte level. Based on X 86 / Linux open platform, and can be integrated with the Hadoop ecosystem. ①MPP Toolbox Gauss 200 OLAP DB Carrier ③ ① ② Gauss 100 OLTP Suitable for transactional application scenarios, support high availability cluster, highperformance, scalable to 32 nodes Oracle application compatibility, support alternative changes less than 1% Scale-out Data decoupling in DC the goal to support across the unification of the data center data storage and access, provide a uniform data access interface, ms delay support customer global consistent experience, realize high availability across the data center business, and support across the data center disaster data and backup.

Gauss DB - Multiple database systems covers all industries Pipe NFV u Support application of NFV/ SDN @Soft. COM to implement app-logic/data separation Competitive： l. Resilient scalability，support agile business l. Low Latency， support same UX with traditional Telco apps l. Telco grade high reliability， Cross-DC HA， DR Goals： u u Improve Fusion. Insight Big Data platform Competitiveness Support ADS, Smart City, Smartcare Solutions Competitive： l. High performance of PB level structured data management； l. High DT Consumer Cloud/v. Mall TLF Gauss 200 OLAP Analytic Database GMDB V 3 Distributed In-Memory DB Cloud Smart. Care Fusion. Insight大数据 Cloud. Edge、Cloud. Core Goals： Device reliability and easy to use l. Cloud. Native l. Cross-DCs Natural. Base Device data management RDS、ADS Cloud-Native Database Goals： u Provide device user better data management ability Competitive： l. Intelligent adaptive data management l. Adaption of heterogeneous data engines, apps transparent switch between different engines architecture u Provide better data management ability for enterprise application running on cloud Competitive： l. Enterprise l. Easy l. Management instance data analytic Distributed Data Management for Cloudily Data Center Competitive： D-Matrix（Technology Prototype Project） l. Resilient scalability with distributed architecture l. Distributed transaction support global consistency l. Global data distribution， globally deployed application can access data locally for better UX HUAWEI TECHNOLOGIES CO. , LTD. Page 15 level high reliability to operate，automation Goals： Page 15 Public Cloud Business Cloud ability of million DB

DPC Lab: Distributed parallel computing speed “Large-Scale" business innovation Distributed parallel computing developing trend: • Network to soften, data centralized, distributed across the data center application extension ability is the key, how to take advantage of IT technology and keep consistent CT experience? • As multi-core, heterogeneous, the sustainable development of the multi-core and heterogeneous hardware oriented thousand thread, the details of how to shield the hardware, give full play to the ability to scale hardware last? Scalability: SDDC－SEA ①Large-scale real②Large-scale data ③ Large-scale Scenario/ time handle application computing(SDN problem (NFV hardware and innovation (Cloud integrated software routing computing Computing) decoupling) Cloud BB Cloud. DS L/OLT Cloud EDGE Telco OS Clloud distributed application Cloud Distributed Software v. DCn v. EPC Across the DC v. DC 1 distributed cluster v. DC 2 v. IMS v. EPC • Across DC • Multilayer • Multitenant • Massive node Distributed parallel computing Business awareness of distributed computing framework high speed tansparent memory communication v. App Cluster management and adaptive scheduling Distributed store Virtual network v. DCn v. DC 2 Data. Center as a Computer ARM 64 X 86＋MIC FPGA Hardware DSP Page 16 GPU …… • Multi-core heterogeneous • Thousand core v. DC 1 Multi-core heterogen eous LXC/Docker Open. Stack HUAWEI TECHNOLOGIES CO. , LTD. ∞, Opex ≈0 Public cloud • The performance of the linear growth rate of 50% • Adaptive Scale Out/In (across different Multicore, across the chip, across nodes, DC, free to modify, free release) Dev. Ops Studio Code Mgt. Efficiency: TTM≈0 ISV System Monitor Hypervisor/ OS modeling • Resource utilization > 70% • Code reuse rate 100% Availability： 99999 • Business don't interrupt • Business self-healing<1 s

Software Open Source Competency Center of CSI Open Source Software Scanning Component Pedigree Life Cycle Management Open Source Process Early Engagement In New OSS Projects Code Synchronization Open Source Tools Product Supporting Open Source Models l l l Early Recognition and Participation Training and Internal Process Page 17 l Community Management HUAWEI TECHNOLOGIES CO. , LTD. Contribution & Influence Top 20 in kernel Top 5 in Hadoop Top 5 in Spark Consumption Management Cultivating Talents to Work in Open Source Community Operation and Promotion of Open Source Community OSS Organization Core member Sit in Board & TSC Founding member Sit in Board & SC Gold Member Top 10 contribution Silver Member Asia Pacific Laboratory

Huawei's Contributions to the Hadoop Community 1 PMC 4 Committer 50+ Contributors Huawei's contributions to components in the Increasing contributions to the Hadoop community Page 18 HUAWEI TECHNOLOGIES CO. , LTD. Hadoop community in the first half of 2015. makes Huawei one of top contributors around the world.

Thank you www. huawei. com Copyright© 2015 Huawei Technologies Co. , Ltd. All Rights Reserved. The information in this document may contain predictive statements including, without limitation, statements regarding the future financial and operating results, future product portfolio, new technology, etc. There a number of factors that could cause actual results and developments to differ materially from those expressed or implied in the predictive statements. Therefore, such information is provided for reference purpose only and constitutes neither an offer nor an acceptance. Huawei may change the information at any time without notice. Page 19 HUAWEI TECHNOLOGIES CO. , LTD.