The Meaning and Value of Software Defined Storage. PRESENTATION TITLE GOES HERE Mark Carlson, Doug Voigt SNIA Technical Council



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Transcription:

The Meaning and Value of Software Defined Storage PRESENTATION TITLE GOES HERE Mark Carlson, Doug Voigt SNIA Technical Council

This presentation is the work of the SNIA Technical Council The SNIA Technical Council is a group of industry experts elected by SNIA members to oversee the technical work of the SNIA. We also sponsor the annual Storage Developers Conference and occasionally produce position papers on current storage architecture topics such as SDS. The current TC members are Don Deel (chair), Bill Martin (vice chair), Craig Carlson, Mark Carlson, Bruno Guiet, Chin-Fah Heoh, Arnold Jones, Fred Knight, Carlos Pratt, Yukinori Sakashita, Leah Schoeb, Udayan Singh, Dave Thiel, Doug Voigt, Steve Wilson and Alan Yoder 2

Defining Software Defined Storage (SDS) SDS is often defined by describing a set of attributes What is the underlying value of SDS? How can SDS be structured as an ecosystem to deliver this value? 3

SDS Value! Flexible construction of services! Separation of control and data planes! Deployment Simplicity 4

SDS Value! Flexible construction of services! SDS spans the boundaries between servers and storage! Data services can be executed in servers or storage! This has potential impacts on security and reliability 5

SDS Value! Flexible construction of services! SDS spans the boundaries between servers and storage! Data services can be executed in servers or storage! This has potential impacts on security and reliability! Separation of control and data planes! SDS builds on Virtualization of the Data Path! Data Path Virtualization alone is not SDS 6

SDS Value! Flexible construction of services! SDS spans the boundaries between servers and storage! Data services can be executed in servers or storage! This has potential impacts on security and reliability! Separation of control and data planes! SDS builds on Virtualization of the Data Path! Data Path Virtualization alone is not SDS! Deployment Simplicity! Storage service interface! Expresses Requirements for the Cloud/DC/Storage/Data Administrator! Receives Service Levels from the Cloud/DC/Storage/Data Administrator! Automates the matching of services to requirements 7

SDS Value Map! Flexible construction of services! Works with standard hardware as well as specialized hardware! Works with scale out or scale up architectures! Enables incremental building of storage/data services solutions! Separation of control and data planes! Includes pooling of resources! Includes Service Level Management (metadata tagging)! Large grain Labels for your storage/data containers! Fine Grain Knobs on individual data objects! Enables dis-aggregation of storage and data services! Deployment Simplicity! Includes self-service interface that supports provisioning! May include policy based management automation! Simplifies management of scale 8

What is needed: Virtualized Data Path! File, Block, Object! Without a virtualized data path the hardware is defining the storage 9

What is needed: Management APIs! Preferably Standardized! Must be programmatic! Storage services include capacity, performance, availability, security, data paths 10

What is needed: Data Services! Data services provide containers for files, objects, blocks! Data services are deployed dynamically 11

What is needed: Policy Driven Service Levels! SDS API is used to define service levels! Metadata is used to match requirements with capabilities 12

Storage/Services Pool! A storage services pool specifies storage that may be used and data services that are applied to meet certain ranges of requirements! Requirement granularity depends on implementation: Volume, File, Object, Container! Resources are aggregated into pools! Data services are added to meet service level requirements! New resources are added to pools that need them! Failed resources are removed from pools until repaired 13

What is needed: Data management API! Gives SW developers easy access to data services! Metadata controlled service selection 14

Big Picture 15

How are requirements conveyed traditionally? 16

How are requirements conveyed with SDS?! Requirements flow through the data storage interface 17

Control Plane Flow: Discuss Requirements 1 18

Control Plane Flow Define Storage/Services Pools 2 19

Control Plane Flow: Choose Storage/Services Pools 3 20

Software Defined Storage 21

Thank You 22