Mobile Cloud Computing
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1 Mobile Cloud Computing Aalto University T Markku Lepistö Principal Cloud Architect 1 Copyright Nokia Siemens Networks 2012 Document classification
2 Cloud Computing Principle Physical infrastructure, controlled programmatically through API calls - Programmable Datacenter 2 Copyright Nokia Siemens Networks 2012
3 Cloud Computing is an IT Transformation SLA Model Extreme uptime (99.999%) Designed for Failover (99.9%) Designed for Failure (Always on) Scaling Model Vertical Scaling Horizontal Scaling HW platform Expensive custom hardware Expensive commodity HW Cheap commodity HW HA model Hardware HA Software HA SW deployment model Centralized Decentralized Distributed Consumption model Centralized Service Model Shared Service Model Self Service Model Mainframe Enterprise Cloud 3 Copyright Nokia Siemens Networks
4 From Traditional through Virtualization to Cloud Datacenters Virtualization!= Cloud Virtualization < Cloud APP APP APP HW HW HW Traditional stack CAPEX Savings Through Server Consolidation Virtualization APP APP APP Virtualization Layer HW Virtualization stack OPEX Savings & Efficiency through Automation, Standardization and Scale Automation Re-architecture for Design for Failure, Automation, IaaS / PaaS APP APP APP Cloud Layer Operations Platform Services Infrastructure Services Virtualization Layer Cloud Stack HW 4 Copyright Nokia Siemens Networks 2012
5 Jevon s Paradox Increasing efficiency of a resource increases its consumption Cost Reduction and Right-sizing Business Agility Create more Innovation TCO Service Deployment Time Revenue Generating Services 100% 80% Traditional 60% 40% Virtualized 20% Traditional IT Public cloud Private cloud Cloud hour day week month..thus you consume more 5 Copyright Nokia Siemens Networks 2012
6 Potential On/Off-premise Evolution for SW Runtime Env s - for overall IT, not Telco-specific % of IT Legacy Physical Dedicated HW on-premise Virtualized Infrastructure on-premise IaaS Private Cloud on-premise PaaS Private Cloud on-premise IaaS Public Cloud off-premise PaaS Public Cloud off-premise Today Time 6 Copyright Nokia Siemens Networks 2012
7 Enterprise vs Utility Clouds - SLA Assurance & Cost Infrastructure TCO per VM Enterprise Computing Utility Computing SW re-architecture costs Design for Failure Reliable SW Reliable Infra > 100 USD / VM / mth Unreliable SW Reliable Infra Legacy Starting Point Reliable SW Unreliable Infra < 20 USD / VM / mth Unreliable SW Unreliable Infra Service Failure ROI, Service Margin from VM s 7 Copyright Nokia Siemens Networks
8 Data Layer Evolution 1) Storage towards Distributed SW on COTS..To From.. x86 Compute Node x86 Compute Node x86 Compute Node Enterprise SAN or NAS COTS HW, Ephemeral VM-local DAS Storage x86 Storage Node x86 Storage Node x86 Storage Node + Vertically scaling Forklift upgrades Fiber-Channel, iscsi, NFS Expensive Appliances 2 heads limit for I/O paths and performance COTS HW, SW-defined Distributed Block Storage x86 Storage Node x86 Storage Node x86 Storage Node + COTS HW, SW-defined Distributed Object Store 8 Copyright Nokia Siemens Networks 2012
9 Data Layer Evolution 2) Databases towards Distributed SW on COTS SQL RDBMS Sharding SQL RDBMS Write Master, Read Clones Eventually Consistent NoSQL * R R W W R R A-F G-O P-Z Clone (async) Master Clone (async) A -Z A -Z A -Z Limited Scalability and Data Redundancy No or small changes to legacy apps Reliable Servers & Storage Expected Large horizontal scalability Distributed redundancy New apps or major re-write *) Depending on needs, NoSQL can be a RDBMS replacement or an additional DB-like service 9 Copyright Nokia Siemens Networks 2012
10 Scalability & Fault Isolation Examples DNS Round-Robin of Elastic IP s for multiple Elastic Load Balancers Memcached Front-End VMs Asynchronous Message Queue, Event-driven Processing Scale out/in worker nodes based on queue length, execution time Avoid dependencies workers do not rely on, or wait for other VMs Use Vertical scalability, reboot VM with bigger instance type Use Horizontal scale-out & in of VMs based on load, business rules NoSQL or SQL DB replicated across multiple Availability Zones ELB Load Balancers DNS Load Balancing of Elastic IP s of ELB s Availability Zone 2 Availability Zone 1 FE/Cache ID Message Queue App Object Store Data Tier multi-az NoSQL ring 10 Copyright Nokia Siemens Networks 2012
11 Small, Frequent Releases Reduce Risk 11 Copyright Nokia Siemens Networks 2012
12 Agile Development, Continuous Integration & Continuous Deployment (DevOps Principle) Agile R&D Sprints Automated Unit Tests per developer Automated Integration & Staging Tests Infrastructure as Code - Agile datacenter Provision build farm on cloud, compile new packages Provision App VMs on cloud, Orchestrate from new packages Deploy test tool VMs on cloud Run, Monitor, Report (SaaS only) Manually Triggered, Automated Push to Production Introduce frequent, small updates to production Test on a subset of customers first Automated regularly practiced rollbacks 12 Copyright Nokia Siemens Networks 2012
13 NSN Cloud Solution Example for Mobile Broadband Usage Peak QoE Risk 13 Copyright Nokia Siemens Networks 2012 R0 G0 B0
14 Experience Mgmt, Self-Organizing Networks SaaS Web & ipad QoE Insights & Actions NSN Analytics Data collection, obfuscation, compression, encryption, upload Teleoperator Radio Access & Core 14 Copyright Nokia Siemens Networks 2012
15 Experience Mgmt, Self-Organizing Networks On-Premise Option QoE Insights & Actions Teleoperator Radio Access & Core NSN Analytics NSN Cloud Platform IaaS HW Teleoperator Datacenter NSN Infra, App & License Mgmt 15 Copyright Nokia Siemens Networks 2012
16 Experience Mgmt, Self-Organizing Networks NSN Analytics Handover Active Antenna Beam Forming Wifi Offload Teleoperator Radio Access & Core NSN Analytics NSN Cloud Platform IaaS HW Teleoperator Datacenter NSN Infra, App & License Mgmt 16 Copyright Nokia Siemens Networks 2012
17 Demo 17 Copyright Nokia Siemens Networks 2012 Document classification
18 Thank you 18 Copyright Nokia Siemens Networks 2012 Document classification
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