Software Defined Storage PRESENTATION TITLE GOES HERE · Software Defined Storage- the Nextgen...

PRESENTATION TITLE GOES HERE Software Defined Storage The New Storage Platform

Anil Vasudeva, IMEX Research

Software Defined Storage (Anil Vasudeva, IMEX Research) , Storage Networking Industry Association.& Author All Rights Reserved.

Abstract

Software Defined Storage- the Nextgen Storage This session will appeal to Development Managers, Ssytem Integrators and Data Center Managers that are seeking a fundamental understanding of SDDC and SDS \. The session will delve into the emergence of Software Defined Storage and how its role in Software Defined Data Center (SDDC) heavily contrbutes to creating IT as a Service. Not limited to developers, the session will also bring a clear understanding of the value of SDDC/SDS to the Developers, System Integrators and the IT community. The audience will receive the fundamental grounding in this new technology, and how they cab adopt in their IT environment..

2 © 2010-12 IMEX Research, Copying prohibited. All rights reserved.


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4 4

IT Industry Journey - Roadmap

Integrate Physical Infrast./Blades to meet CAPSIMS ®IMEX Cost, Availability, Performance, Scalability, Inter-operability, Manageability & Security

Integration/Consolidation

Standard IT Infrastructure- Volume Economics HW/Syst SW (Servers, Storage, Networking Devices, System Software (OS, MW & Data Mgmt. SW)

Standardization

Cloudization On-Premises > Private Clouds > Public Clouds

DC to Cloud-Aware Infrast. & Apps. Cascade migration to SPs/Public Clouds.

Virtualization Pools Resources. Provisions, Optimizes, Monitors Shuffles

Resources to optimize Delivery of various Business Services

Automatically Maintains Application SLAs (Self-Configuration, Self-Healing©IMEX, Self-Acctg. Charges etc.)

Automation

IT Industry Roadmap Analytics – BI Predictive Analytics - Unstructured Data

From Dashboards Visualization to Prediction Engines using Big Data.

© 2010-12 IMEX Research, Copying prohibited. All rights reserved. 4


New Role of IT: ITaaS


Storage Compute Ntwk. & Security

Management & Automation

Virtual Workspace Manages access to services, applications and data for any device

Hybrid Cloud Seamlessly extend your data center t o the Public Cloud

Software Defined Data Center Virtualizes the entire datacenter

Software Defined Storage (Anil Vasudeva, IMEX Research) , Storage Networking Industry Association.& Author All Rights Reserved. © 2010-12 IMEX Research, Copying prohibited. All rights reserved. 6 6

Data Centers & Cloud Infrastructure

Enterprise VZ Data Center On-Premise Cloud

Home Networks

Web 2.0 Social Ntwks.

Facebook, Twitter, YouTube…

Cable/DSL… Cellular

Wireless

Internet ISP

Core Optical

Edge ISP

ISP ISP

ISP

ISP

Supplier/Partners

Remote/Branch Office

Public CloudCenter©

Servers VPN IaaS, PaaS SaaS

Vertical Clouds

ISP

Tier-3 Data Base

Servers Tier-2 Apps

Management Directory Security Policy Middleware Platform

Switches: Layer 4-7, Layer 2, 10GbE, FC Stg

Caching, Proxy, FW, SSL, IDS, DNS,

LB, Web Servers

Application Servers HA, File/Print, ERP, SCM, CRM Servers

Database Servers, Middleware, Data

Mgmt

Tier-1 Edge Apps

FC/IPSANs,NAS

6


RAID - First SW Defined Storage 1988

H O S T

RA I

D

SOFT

WARE

D

D I

SK

CONTROLLER

H O S T

Availability RAID-1

Cost RAID-5

Performance RAID-3

JBOD

D

D I

SK

CONTROLLER

© 2010-12 IMEX Research, Copying prohibited. All rights reserved.

Source: 1988, Anil Vasudeva “ A case for Disk Arrays” Presented at conference, Santa Clara CA. Aug 1988


Virtualization: Impact on IT Infrastructure

Virtualization led Workload Consolidation provides >20x Savings in RE, Pwr., HA

Multiple VMs create I/O Blender Effect

Virtualized Server Penetration

8

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

2011 2012 2013 2014 2015 2016

Virtualized Servers Penetration

WW Spending on Servers

Time

Provisioning

Hardware SAN

Network Power & Cooling

DC Real Estate Disaster Recovery

Downtime

Cos

t ove

r 3 y

ears

995 Pre-Virtualization (VZ) Servers 78 VZ Servers

VZ SW & Support

Virtualization: TCO Savings

Power/Cooling & Data Management & Bottlenecks in Physical Servers sharing Memory

50% of all servers in 2011 growing to 85% by 2016



Diverse Workloads Exploding



© 2010-12 IMEX Research, Copying prohibited. All rights reserved. 10 10

Dat

a: IM

EX R

esea

rch

& Pa

nasa

s

HPC & Commercial

Bioinformatics & Healthcare

Entertainment- Social Netwks

B-Intelligence Big Data

Productivity/VDI

Apps leveraging IT-as-a-Service w/SDDC

10



Workloads: Key to Infrastructure Arch.

*IOPS for a required response time ( ms) *=(#Channels*Latency-1)

(RAID - 0, 3)

500 100 MB/sec

10 1 50 5

Data Warehousing

OLAP

Business Intelligence (RAID - 1, 5, 6)

IOPS

* (*L

aten

cy-1

)

Web 2.0 Audio

Video

Scientific Computing

Imaging HPC

TP HPC

10K

100 K

1K

100

10

1000 K OLTP

eCommerce Transaction Processing

Workloads need Infrastructure Optimized for Cost, Availability, Performance … 11 © 2010-12 IMEX Research, Copying prohibited. All rights reserved.


Big Data Analytics: Next IT Frontier

12

12

Srvrs

Storage

Ntwk

SW

Srvcs

$-

$5

$10

$15

$20

$25

2011 2012 2013 2014 2015 2016

Rev

$B

Big Data Market Syst .& Services




Workload/SLA Optimized Systems

Application’s SLA dictates the Resources Required to meet specific requirements of Availability, Performance, Cost, Security, Manageability etc.

Platform Tools & Services / APIs

Operating Systems

Cloud Computing Public Cloud Service

Providers Private Cloud

Enterprise

App SLA

Applications/Software as a Service

PaaS

IaaS

SaaS

Virtualization Resources (Servers, Storage, Networks)

App SLA App SLA App SLA App SLA

Man

agem

ent

Hybrid Cloud



Software Defined Data Center: Positioning IT for the Mobile-Cloud Era



Virtualization Opens New Opportunities

15

Virtualization Platform Has • Inherent knowledge of Application’s SLA requirement • Global View of Infrastructure • Is Hardware agnostic

Software Defined Storage - Policy Driven Control Plane - App Centric Data Services - Virtualized Data Plane

Storage Pools

VM App OS

VM App OS

VM App OS

VM App OS

Virtualization Platform Hypervisors



16

Software Defined Storage: Bringing Operational Model of Compute to Storage



Location for Control & Policy

Hypervisor IaaS

VM

App OS

VM

App OS

VM

App OS

VM

App OS


Proc


SDS – VM Driven Data Services


VM Storage Policy • Capacity • Performance • Availability

VM VM VM VM VM VM


SDS: Control Plane Manages & Automates

Block Storage

File Storage

Object Storage

Control Plane

Data Plane

Hypervisor/ Storage

Hypervisor

Virtual Mgmt Center

Opns.Mgr.

Scale Out NAS Storage

High End Storage

Mid-Range Storage

Open Storage

1

2

1

2

Virtual Cloud Automation Center


visors


SDS is a Programmable Platform Virtual Cloud

Block Storage

File Storage

Object Storage

Control Plane

Data Plane

Scale Out NAS Storage

High End Storage

Mid-Range Storage

Open Storage

REST APIs REST APIs

Infrastructure & Application Software Vendors Add Value



VSAN: Radically Simple Storage

VM

VM

VM

VM

VM

VM

VM

VM

VM

VM VM VM

VM



Self-Tuning Dynamic Storage for VMs

VM VM VM VM VM VM VM VM

VM


Storage Layer Hypervisor

Hypervisor


VM Storage Policies VM Deployment based on vSAN Capabilities


Hypervisor


DataStore Capabilities visible to Mgmt Ctr.


• When the Storage Hypervisor is created, the capabilities of DataStore are automatically surfaced up to Virtual Management Center

• These capabilities are used for setting VM Storage Policies

• VM Storage Policies will contain the availability, performance and provisioning requirements of the virtual machine (or specifically the applications running in the virtual machine) in the form of capabilities


vSAN Summary



From Mgmt. Center to Virtual Stores


Virtual Mgmt.Center Server

Storage Hypervisor

Hypervisor


NextGen IT as a Service using SDDC



Attribution & Feedback

28

Please send any questions or comments regarding this SNIA Tutorial to [email protected]

The SNIA Education Committee thanks the following individuals for their contributions to this Tutorial.

Authorship History Anil Vasudeva, Chief Analyst & President, IMEX Resaerch.com Aug 2013 Updates:


mailto:[email protected]

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