Oracle Enterprise Grid Mark McGill Principal Sales Consultant Oracle EMEA Enterprise Technology Centre.

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Presentation transcript:

Oracle Enterprise Grid Mark McGill Principal Sales Consultant Oracle EMEA Enterprise Technology Centre

Agenda Why Grid Computing? Oracle Enterprise Grid Computing Production users of Oracle Grid Technology

Today’s IT Infrastructure Configured for peak loads Unable to share resources Inflexible Limited scalability Poor availability Fragmented security Complex Utilization rates are low

What is Grid Computing? “In basic terms, grids are clusters of interconnected servers, enabling shared computing resources utilization” “Defining Grid Computing”, Giga Research, August 2002

Grid Vision Computing as a utility A network of clients and service providers Client-side: Simplicity Request computation or information and receive it Server-side: Sophistication Availability, reliability, security Capacity on demand, load balancing Virtualization Provide single computing resource to clients Remove physical dependencies

Oracle Enterprise Grid Features Resource virtualisation Resource provisioning Automated load balancing Scaling Optimisation Management Standardize, Consolidate, Automate

Example: In December Order Entry overheats processing orders Financials idles below capacity Order EntryFinancials

Example: In January Order Entry falls away from season high Financials overheats at year end close Order EntryFinancials

Example: With Grid Computing Load balance based on a policy to optimise around both of these peak load conditions Order Entry & Financials

Oracle 10g Grid Features StorageAutomatic Storage Management (ASM) Database Real Application Clusters (RAC) Information provisioning Application Server Integrated middleware platform Application server clusters Manageability Application Service Level Management Policy-based standardization Automated provisioning and administration

Dynamically allocates db storage Load balanced across disks Capacity on demand Add/remove storage online Automatic I/O load balancing Fault tolerant, high performance Automatically mirrors and stripes Low cost Less DBA work: no I/O tuning to do No volume manager or file system Better disk utilization 10g Storage Automatic Storage Management

10g Database Real Application Clusters Many small servers act as one Mission critical QoS on standard, low cost servers Scalable AND highly available Start small, grow incrementally Proven technology Thousands of customers Supported by leading ISVs Runs on all platforms Automatic Workload Management virtualizes database services 10g RAC includes Integrated Clusterware on all platforms

10g Database Information Provisioning: Transportable Tablespaces Unplug and plug database data files Move and share data between databases Mount read-only tablespaces on multiple databases Cross-platform support OS copy File 1 File 2 expdat.dmp File 1 File 2 expdat.dmp 24

10g Database Information Provisioning: Streams Can be used to move or copy :- Files Provision and manage information that’s not in the database Tablespaces Automatically convert between platforms Transport faster than FTP capture changes and stream them after attachment

Web Services B2B Integration Application Integration Any Data Source Business Intelligence Wireless & Mobile Enterprise Portal Management & Security Business Services Framework Rapid Application Development Clustering & Caching 10g Application Server Integrated Middleware Platform

10g Application Server Availability & Scalability Load Balancers (or Web Cache) Cluster 2 J2EE Application ‘ B ’ Session State Shared Wireless & Mobile Browser Internet / intranet Users Data Sources Cluster 1 J2EE Application ‘ A ’ Session State Shared Apache Web Servers w/ Load Balancing Web Caches share cache content. Load balancing via: round-robin, weighted %, or last use. Clusters share application session state via IP multicast. Apache maps requests to clusters.

10g Grid Control Application Service Level Management Tokyo Sales Office Paris Sales Office New York Sales Office Any Application User Monitor key business transactions Availability Performance Click-to-SQL Drilldowns Click-to-EJB and J2EE Activity External networkInternal networkApplication ContentApp ServerDatabase End to End Tracing Web Application End-to-End Performance, Availability & Diagnostics

10g Grid Control Policy-Based Standardization Policy Management Rule definitions Violation detection Corrective action Performance policies Thresholds and baselines Response actions Security policies Software installation hardening Excess services/ports Excess user privileges Configuration policies Clusters Archived configurations Base images (clone source) Drives consistency and improved performance Policy

10g Grid Control Automated Provisioning View/Search Compare/Diff Change Tracking Reference Configurations Analyze Install/Clone Configure Patch Secure LiveLink Oracle.com Product Updates Patches Product Configuration Oracle Inventory Software Configurations Hardware Configurations Discover Enterprise Manager Provision Over 20% of downtime attributable to human configuration errors

Oracle and CERN CERN : World’s largest Laboratory for Particle Physics BirthPlace of the WorldWideWeb CERN and Oracle: More than 20 years of collaboration Today: Grid technologies Oracle 10g Oracle RAC Oracle Grid Control

Grid at CERN Tier3 physics departm ent    Desktops Tier-1 UK France Italy Germany CERN Tier 1 Japan CERN Tier 0 Tier-2 Uni a Lab c Uni n Lab m Lab b Uni b Uni y grid for a regional group USA BNL USA FNAL grid for a physics study group CERN is using Oracle to build a Large Hadron Collider (LHC) Computing Grid Problems: Data Sharing processing is distributed Data Volumes ~15PB data generated each year for 10+ years Cost CERN must use low cost hardware Availability of the Grid Grid has 10,000 users The solution for CERN has been to build a Grid using Oracle as the foundation. They are using Oracle Grid Control, Application Server and Database for their scaling, information sharing and VLDB features. Real Application Clusters on Linux enables them to achieve a highly available and scaleable database on commodity hardware

Oracle Grid Customers For more information see

Contact/Further Information Mark McGill EMEA Enterprise Technology Centre Further Information: