Cloud Computing, CS596-015 Open Stack Overview

Outline IBM Cloud Computing Mobile & Cloud Computing (MCC) Introduction CloudBurst Blue Cloud Tivoli Service Automation Management (TSAM) Mobile & Cloud Computing (MCC) Overview Advantages of MCC Issues of MCC Summary and Conclusions I can pretty much read this one straight through and provide details in following slides.

IBM Cloud Computing

IBM Cloud Computing: Introduction: Platform for Smarter Planet Work How can we work smarter supported by flexible and dynamic processes modeled for the new way people buy, live & work? “Data is exploding and it’s in silos” “New business & process demands ” “Our resources are limited” New Intelligence How can we take advantage of the wealth of information available in real time from a multitude of sources to make more intelligent choices? I Need Insight I Need to Work Smart “My infrastructure is inflexible and costly” Dynamic Infrastructure How do we create an infrastructure that drives down cost, is intelligent and secure, and is just as dynamic as today’s business climate ? I need to respond quickly Green & Beyond I Need Efficiency How do we drive greater efficiencies, compete more effectively, and respond more quickly by taking action now on energy, the environment, and sustainability? Since economies of scale are in play, larger DC is in favor. So the HW blocks can be enumerated. How do you design for best performance?

IBM Cloud Computing: Introduction: IT-as-a-Service can be segmented into 3 layers Infrastructure-as-a-Service Platform-as-a-Service Software-as-a-Service Servers Networking Storage Middleware Collaboration Business Processes CRM/ERP/HR Industry Applications Data Center Fabric Shared virtualized, dynamic provisioning Database Web 2.0 Application Runtime Java Development Tooling Smart Business Development on the IBM Cloud Market Examples Examples Workload Focus Will Lead To Specialized Slices Through These Layers Since economies of scale are in play, larger DC is in favor. So the HW blocks can be enumerated. How do you design for best performance?

Focus on Dynamic/Resilient Infrastructure IBM Cloud Computing: Introduction: SOA (Service-oriented Architecture) and SOI (Service-oriented Infrastructure) Next to Each Other This is SOI & Cloud Focus on Dynamic/Resilient Infrastructure You can have each without the other, but they are better together! This is SOA Focus on Efficiency in Application Development and Reuse tied to Business Process Since economies of scale are in play, larger DC is in favor. So the HW blocks can be enumerated. How do you design for best performance?

IBM Cloud Computing: Introduction: SOA and SOI (Cloud) Result in Truly Dynamic IT SOA Framework Applications are: Reused as appropriate Decoupled Easily composed Conform to standards for interoperability Cloud Service Components: SaaS PaaS IaaS Since economies of scale are in play, larger DC is in favor. So the HW blocks can be enumerated. How do you design for best performance? The Cloud Infrastructure is: Completely Virtualized Continuously Optimized Dynamically Responsive Heterogeneous to Support Differing Workloads

IBM Cloud Computing: Introduction: An Architecture Model That Includes Standards-based Interfaces is Key! Service Creation & Deployment Request & Operations Provider Definition Tools Publishing Fulfillment & Configuration Reporting & Analytics Service Planning Role-based Access Operational Support Systems (OSS) Business Support Systems (BSS) Infrastructure Services Software Platform Services Application, Process and Information Services End Users, Operators Catalog Operational Console Standards Based Interfaces Cloud Services Cloud Platform Since economies of scale are in play, larger DC is in favor. So the HW blocks can be enumerated. How do you design for best performance?

IBM Cloud Computing: Introduction: Cloud Computing Flexible Delivery Model ORGANIZATION CULTURE GOVERNANCE Flexible Delivery Model Public … Service provider owned and managed. Access by subscription. Delivers select set of standardized business process, application and/or infrastructure services on a flexible price per use basis. Private … Client owned and managed. Access limited to client and its partner network. Drives efficiency, standardization and best practices while retaining greater customization and control Cloud Services Cloud Computing Model .… Customization, efficiency, availability, resiliency, security and privacy .…Standardization, capital preservation, flexibility and time to deploy Since economies of scale are in play, larger DC is in favor. So the HW blocks can be enumerated. How do you design for best performance?

IBM Cloud Computing: Introduction: Emerging Areas of Focus Among Cloud Clients Dynamic Infrastructure Enterprise Information Analytics Security Since economies of scale are in play, larger DC is in favor. So the HW blocks can be enumerated. How do you design for best performance?

IBM Cloud Offering: CloudBurst (hardware) IBM CloudBurst leverages an IBM pre-integrated service delivery platform that include the hardware, storage, networking, virtualization and service management software to create a private cloud computing environment External dimensions: Height: 1999 mm (78.7 in) Width: 605 mm (23.8 in) Depth: 1001 mm (39.4 in) Weight: 124.7 kg (275 lb) Comes with a front door, rear doors, and side panels installed. Has the following features: Front stabilizer foot Six 1-U side-wall compartments Lockable doors and side panels Room for cable management Since economies of scale are in play, larger DC is in favor. So the HW blocks can be enumerated. How do you design for best performance? IBM S2 42U

IBM Cloud Offering: CloudBurst – Cloud Infrastructure Management Server x3650M2 Form: 2U Processor: Dual Quad Core Intel® Xeon® X5520 2.26GHz, 8MB L2 cache, 80W Memory: 24GB RAM Storage: HDD 6x 146GB SAS 10K Ethernet interfaces: Four 1 Gbps NICs Dual port 4 Gbps FC Since economies of scale are in play, larger DC is in favor. So the HW blocks can be enumerated. How do you design for best performance? IBM x3650M2 rack-mount server

IBM Cloud Offering: CloudBurst – Cloud Compute Platform HS22 Form: 1U Processor: Dual Quad Core Intel® Xeon ® X5560 4C 2.8GHz, 8MB L2 cache, 95W Memory: 48GB RAM HDD: Diskless Ethernet interfaces: Two 1 Gbps NICs Dual port 4Gbps FC USB: VMware ESXi Hypervisor™ on embedded USB key Since economies of scale are in play, larger DC is in favor. So the HW blocks can be enumerated. How do you design for best performance? IBM BladeCenter HS22

IBM Cloud Offering: CloudBurst – imbedded in a Chassis BladeCenter H chassis Form: 9U Features: Up to 14 blade bays Advanced Management Module standard, plus optional module for redundancy USB-based keyboard, video, mouse (KVM), Ethernet, USB Optical drive and two USB connections High-speed fabric with eight data channels to every blade, four of which can be 10 Gb Supporting industry-standard I/O switches Light path diagnostics Predictive Failure Analysis Support for IBM System Storage solutions (Including DS and NAS family of products) and many widely adopted non-IBM storage offerings External storage Since economies of scale are in play, larger DC is in favor. So the HW blocks can be enumerated. How do you design for best performance? IBM BladeCenter H Chassis

IBM Cloud Offering: CloudBurst – The Rack also Includes IBM System Storage DS3400 FC attached storage Dual active RAID controller Host Interface: 4 Gbps Fiber Channel (FC) interface technology Direct-attach storage (DAS) or SAN solution—start with a DAS configuration and seamlessly transition to a FC SAN when ready Easy to deploy and manage with the DS3000 Storage Manager 5.4 TB of storage capacity with twelve 450 GB hot-swappable 15K drives Since economies of scale are in play, larger DC is in favor. So the HW blocks can be enumerated. How do you design for best performance? IBM System Storage DS3400

IBM Cloud Offering: CloudBurst – The Rack also Includes Network Components BladeCenter H (I/O) Redundant 4G FC Networking - Qlogic FC SM QLogic 20-port 4 Gb Fibre Channel Switch Module Redundant 1G Ethernet Networking – SMC 8126L2 Since economies of scale are in play, larger DC is in favor. So the HW blocks can be enumerated. How do you design for best performance?

IBM Cloud Offering: CloudBurst – Software Operating System Windows2003R2 Enterprise Edition 32 bit (includes MS Active Directory) Database Server MS SQL Server Enterprise Edition MS SQL Server Express (imbedded w/ VMWare VirtualCenter (now vCenter Server) Platform Management Tools BladeCenter Open Fabric Manager (BOFM) Active Energy Manager IBM Systems Director 6.1.1 IBM BOFM v3 plugin IBM Active Energy Manager 4.0 Server Management Tools IBM ToolsCenter 1.1 Storage Management Tools LSI SMI-S provider for DS3400 IBM DS Storage Manager for DS4000 10.36 LMI SMI-S Virtualization Management Tools VMware vCenter Server 2.5 * (requires MS Active Directory) Since economies of scale are in play, larger DC is in favor. So the HW blocks can be enumerated. How do you design for best performance? * Previous product name was VMware VirtualCenter 2.5u4

IBM Cloud Offering: CloudBurst – Software Stack Bare Metal Hypervisor on HS22 blade VMWare ESXi 3.5 U4 Hypervisor Operating System Network File System Novell SUSE Linux Enterprise 10 SP 2 NFS Database Server IBM DB2 Enterprise Server Edition V9.1 for Linux Web Application Server, including IBM HTTP server IBM WebSphere Application Server Network Deployment 6.1.0.13 Directory Server IBM Tivoli Directory Server 6.1.0.1 Monitoring IBM Tivoli Monitoring 6.2.1 (OS pack) IBM Tivoli Monitoring for Energy Mgmt 6.2 Storage Management Client IBM Tivoli Storage Manager client 6.1 Provisioning Management IBM Tivoli Provisioning Manager 7.1 CloudBurst application IBM Tivoli Service Management pack including appliance wizards Since economies of scale are in play, larger DC is in favor. So the HW blocks can be enumerated. How do you design for best performance?

IBM Cloud Offering: CloudBurst – Architecture ToolsCenter . Active Energy SQL Server Customer Ethernet Network Customer SAN Network IBM Director BOFM IBM Storage Mgr Virtual Center Windows Server 3650 M2 Server 1G Ethernet Switch MSIM-L Bay 9 1G Ethernet Switch MSIM-L Bay 7 Mid-plane AMM2 HS22 Blade HS22 Blade HS22 Blade HS22 Blade HS22 Blade HS22 Blade HS22 Blade HS22 Blade HS22 Blade HS22 Blade HS22 Blade HS22 Blade HS22 Blade HS22 Blade x3650 M2 Since economies of scale are in play, larger DC is in favor. So the HW blocks can be enumerated. How do you design for best performance? AMM2 CloudBurst 24 port 1Gps Ethernet Switch TPM Mid-plane 24 port 1Gps Ethernet Switch WAS ND ITM ITDS 20port FC SM 20port FC SM Bay 3 Bay 4 DB2 ESE SUSE & NFS Controller A Controller B PDU-1 PDU-2

IBM Cloud Offering: CloudBurst – Architecture Built-in Virtualization: Understand virtual and physical resource usage Dynamically manage virtual workloads to optimize resource usage Automatically migrate virtual machines across systems to maintain service levels Since economies of scale are in play, larger DC is in favor. So the HW blocks can be enumerated. How do you design for best performance? …Increases utilization for lower capital expense

IBM Cloud Offering: CloudBurst – Architecture 42U Standard Rack 3650M2 1 2 3 4 5 6 7 8 9 10 11 12 13 14 BladeCenter H DS3400 Network Components 1 BladeCenter H with 4 blades* Base Configuration Since economies of scale are in play, larger DC is in favor. So the HW blocks can be enumerated. How do you design for best performance?

IBM Cloud Offering: CloudBurst Architecture – CloudBurst Software Stack shipped as Vmware images to run on the first HS22 Blade Server 1 2 3 4 5 6 7 8 9 10 11 12 13 14 BladeCenter H HS22 Blades Monitoring VM Image Server VM BlueCode VM VMWare ESXi Hypervisor SUSE TPM WAS ND DB2 ESE ITDS CloudBurst CloudBurst VM ITM SUSE + NFS + TFTP Since economies of scale are in play, larger DC is in favor. So the HW blocks can be enumerated. How do you design for best performance?

IBM Cloud Offering: Blue Cloud Architecture Since economies of scale are in play, larger DC is in favor. So the HW blocks can be enumerated. How do you design for best performance?

IBM Cloud Offering: Tivoli Service Automation Management (TSAM) End User Requests & Operators … Service Request & Operations Design & Build Image Library (Store) Deployment Operational Lifecycle of Images IT Infrastructure & Application Provider Virtual Image Management Service Catalog Request UI Operational UI Optimized Middleware (image deployment, integrated security, workload mgmt., high-availability) Service Oriented Architecture Information Architecture User Request Management/Self Service Portal Security: Identity, Access, Integrity, Isolation, Audit & Compliance Usage Accounting License Management Image Lifecycle Management Provisioning Performance Management Availability/Backup/ Restore Service Lifecycle Management Service Management Virtual Resources & Aggregations SMP Servers Network Hardware Storage Servers System Resources Blades Storage Virtualized Infrastructure Server Virt. Storage Virt. Network Virt. Service Creation & Deployment Since economies of scale are in play, larger DC is in favor. So the HW blocks can be enumerated. How do you design for best performance?

Mobile & Cloud Computing

Mobile & Cloud Computing: Overview Since economies of scale are in play, larger DC is in favor. So the HW blocks can be enumerated. How do you design for best performance?

Mobile & Cloud Computing: Overview Mobile cloud computing (MCC) is the usage of cloud computing in combination with mobile devices MCC refers to an infrastructure where both data storage and the data processing happen outside of the mobile device. Mobile cloud applications move the computing power and data storage away from the mobile device and into the cloud. Alternatively, MCC can be defined as a combination of mobile web and cloud computing Because of advancement in mobile devices, each today has a browser and hence access to the internet Several mobile network providers such as Vodafone and Verizon started to offer cloud computing services Popular mobile applications include: Mobile commerce, Mobile healthcare, Mobile learning, Mobile gaming, and Mobile computing. Since economies of scale are in play, larger DC is in favor. So the HW blocks can be enumerated. How do you design for best performance?

Mobile & Cloud Computing: Overview Since economies of scale are in play, larger DC is in favor. So the HW blocks can be enumerated. How do you design for best performance?

Mobile & Cloud Computing: Advantages of MCC Cloud can be used to overcome obstacles in mobile computing: Extending battery lifetime Improving data storage capacity and processing power Improving reliability In addition MCC inherits some advantages of clouds for mobile services: Dynamic provisioning Scalability Multi-tenancy Ease of Integration Since economies of scale are in play, larger DC is in favor. So the HW blocks can be enumerated. How do you design for best performance?

Mobile & Cloud Computing: Issues of MCC Issues in Mobile Communication Side: Low Bandwidth Availability Heterogeneity: network heterogeneity in terms of wireless network interface Issues in Computing side: Computing offloading: code compilation offloading may consume more energy than that of local processing Security: protecting user privacy and data secrecy is a key to maintain consumers’ trust in the mobile platform Efficiency of data access Context-aware mobile cloud services: service provider monitoring the user preferences Since economies of scale are in play, larger DC is in favor. So the HW blocks can be enumerated. How do you design for best performance?

Summary and Conclusions

IBM Cloud Computing + Mobile & Cloud Computing Summary and Conclusion: Major vendors (IBM, HP, Microsoft) are becoming Cloud Service Providers. In addition, most commercial products are becoming cloud enabled, i.e., can be deployed in the cloud There are different positioning from public to private to hybrid clouds offerings Mobile computing is a convenient candidate for cloud computing as you can access your cloud service on-the-go Cloud offer advantages to mobile computing On the other hand MCC has issues both in the mobile communication side as well as on the computing side Mobile cloud is the future Since economies of scale are in play, larger DC is in favor. So the HW blocks can be enumerated. How do you design for best performance?

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