EDUCATIONEDUCATION高级数据共享技术：数据共享高级数据共享技术：数据共享 技术的定义技术的定义原理及应用原理及应用以以技术的定义技术的定义、原理及应用原理及应用，以以 及基于数据块的实现及基于数据块的实现演讲人:刘松涛 ADIC高级技术顾问ADIC高级技术顾问AbstractEDUCATIONAbstractAdvanced Data Sharing TechnologiesPart 1Advanced Data Sharing Technologies Part 1 The What, Why and How of Data Sharing technologies plus block and file- based approaches for IT Director and Managers, IT/Storage/System Eng., Admins, Architects ggyg and Trainers How to deliver more performance and data accessibility with little to no additional cost? How to take advantage of existing storage infrastructure to provide more value to end-users and the global enterprise? A clear industryprovide more value to end users and the global enterprise? A clear industry direction indicates that Data Sharing architectures and technology can be a good way to achieve these objectives. The first session offers a definition of Data Sharing and a discussion of its benefits with examples linked to the SNIA Shared Storage Model We cover thebenefits with examples linked to the SNIA Shared Storage Model. We cover the main data sharing approaches and describe how they can improve performance, data accessibility, and manageability. This includes Scale-in and Scale-out methods based on block, file and application technologies such as: CltV lMSAN FilStCltFilStPll lCluster Volume Managers, SAN File Systems, Cluster File Systems, Parallel NFS (pNFS), Object-based Storage Devices (OSD) and Global/Parallel File System.2SNIA Legal NoticeEDUCATIONSNIA Legal NoticeThti lt id ithi t ti l ii ht d b The material contained in this tutorial is copyrighted by the SNIA Member companies and individuals may use this materialMember companies and individuals may use this material in presentations and literature under the following conditions: Any slide or slides used must be reproduced without modification The SNIA must be acknowledged as source of any material used in the body of any document containing material from these yyg presentations This presentation is a project of the SNIA Education CommitteeCommittee3AgendaEDUCATIONAgenda What is Data Sharing ? Definition Why Data Sharing ? End User Benefits How is Data shared ? Block and file-based approachesBlock and file based approaches4EDUCATIONEDUCATIONWhat is Data Sharing ?What is Data Sharing ? Why Data Sharing ?What is Data Sharing ?EDUCATIONg DefinitionShared access toShared access to same data (value & location) by multiple systems Read/write: changes to data become visible to all servers Read-only access via mechanisms that support shared read/write Read-only access via mechanisms that support shared read/write access Examples Read/write access to a shared file is data sharingead/te access to a s a ede s data s ag So is read-only access to a shared file Clone/Snapshots (read-only or read/write) are not data sharing Changes do not affect original data Caching is data sharing when changes propagate Changes to cached data must become visible to all Other data changes must become visible via cache Replication/CDP* is not data sharing because location changes Potential divergence of data6* CDP: Continuous Data ProtectionWhy Data Sharing ?EDUCATIONyg End User Benefits Better performance and scalability Larger server can be expen$ive Shiltbl Sharing: apply more servers to same problem Scales well for some applications, poorly for others Can avoid replication or cloning Can avoid replication or cloning Concurrency and Content access distribution Use same data for more than one applicationUse same data for more than one application Administration Consolidated shared resource has lower TCO Data Sharing increases the benefits of Storage/Data Consolidation7Storage ConsolidationEDUCATIONg Scale-up by Scale-InFileServerServerScale-InData Network - LANNFS/CIFS ServerStorageNetworkSharedDisks8Performance ImprovementEDUCATIONp Scale-up by Scale-OutApplicationServerDB EngineApplication DB EngineScale-outShared Storage SoftwareCluster SoftwareScale-out StorageNetworkShared Disks9Why Data Sharing ?EDUCATIONyg How to apply Data Sharing to do useful thingsHi h Ail bilit Clt(ll &hi ) High Availability Clusters (local & geographic) Scaling applications Web ServersRead mostly/load balanced Web Servers - Read mostly/load balanced Databases/OLTP/DW - Mostly use direct I/O Parallel applications and fast failoverpp Systems and Applications Consolidation/Migration Off-host processing Based on shared file system Can also use by Point-in-Time copy techniques (not related to our data sharing definition)ou data s ag det o ) address both Performance and Availability with no administration degradation and overhead10Some technologiesEDUCATIONIBM AFSIBM AFSVERITAS CFSVERITAS CFSCisco FileEngineCisco FileEngineand products WebNFSApple XsanIBM AFSIBM AFSOracle OPS/RACVERITAS CFSVERITAS CFSPolyServe Matrix ServerPolyServe Matrix ServerSambaSambaRFSRFSRFSRFSCodaCodaCod