STORAGE ARCHITECTURE/ MASTER: SAN Math for Core/Edge SANs Spicing it Right! Norman Owens Independent Storage Consultant.

Slides:



Advertisements
Similar presentations
Archive Task Team (ATT) Disk Storage Stuart Doescher, USGS (Ken Gacke) WGISS-18 September 2004 Beijing, China.
Advertisements

Introduction to Storage Area Network (SAN) Jie Feng Winter 2001.
Removing the constraints of the data center
SAN Last Update Copyright Kenneth M. Chipps Ph.D. 1.
OLD DOG CONSULTING Traffic Engineering or Network Engineering? The transition to dynamic management of multi-layer networks Adrian Farrel Old Dog Consulting.
Storage area Network(SANs) Topics of presentation
SQL Server, Storage And You Part 2: SAN, NAS and IP Storage.
Storage Area Network (SAN)
How to Cluster both Servers and Storage W. Curtis Preston President The Storage Group.
Network Done by: Athra sultan.
Copyright © 2009 EMC Corporation. Do not Copy - All Rights Reserved.
Virtual Network Servers. What is a Server? 1. A software application that provides a specific one or more services to other computers  Example: Apache.
Basic Concepts of Computer Networks
Next Generation Storage Area Network Design: 2Gbit/sec Performance Plus Advanced Functionality Daniel Cohen Solutioneer Brocade Communication Systems,
Software Depot Service CPTE 433 John Beckett. What? A centralized source for software in your organization. Managed by the SA group. Provides supported.
Lecture 1 Internet CPE 401 / 601 Computer Network Systems slides are modified from Dave Hollinger and Daniel Zappala Lecture 1 Introduction.
Interconnect Networks
NOBEL WP5 Meeting Munich – 14 June 2005 WP5 Cost Study Group Author:Martin Wade (BT) Lead:Andrew Lord (BT) Relative Cost Analysis of Transparent & Opaque.
Best Practices for Backup in SAN/NAS Environments Jeff Wells.
01 NUTANIX INC. – CONFIDENTIAL AND PROPRIETARY Nutanix: bringing compute and storage together Mohit Aron, Co-founder & CTO.
1 © 2004 Cisco Systems, Inc. All rights reserved. OPT _05_2004.c The Business Case for Storage Networks Storage Strategies for Lowering TCO.
Hadoop Hardware Infrastructure considerations ©2013 OpalSoft Big Data.
DMC Technology Server Re-fresh. Contents Evaluate vendor Blade technology Develop a Blade architecture that meets DMC/PBB requirements Develop a stand-alone.
 Closing the loop: Providing test developers with performance level descriptors so standard setters can do their job Amanda A. Wolkowitz Alpine Testing.
Storage Trends: DoITT Enterprise Storage Gregory Neuhaus – Assistant Commissioner: Enterprise Systems Matthew Sims – Director of Critical Infrastructure.
1 U.S. Department of the Interior U.S. Geological Survey Contractor for the USGS at the EROS Data Center EDC CR1 Storage Architecture August 2003 Ken Gacke.
1 © 2004 Cisco Systems, Inc. All rights reserved. Rich Gore Cisco Case Study: Storage Networking and the Cisco MDS 9509 Multilayer.
Storage Networking Evolution Jim Morin VP Strategic Planning June 2001.
Hosted by 2004 Purchasing Intentions Survey Mark Schlack Editorial Director, Storage Media Group TechTarget.
Switched Storage Architecture Benefits Computer Measurements Group November 14 th, 2002 Yves Coderre.
Using NAS as a Gateway to SAN Dave Rosenberg Hewlett-Packard Company th Street SW Loveland, CO 80537
Clustering In A SAN For High Availability Steve Dalton, President and CEO Gadzoox Networks September 2002.
2004 Purchasing Intentions Survey Mark Schlack Editorial Director, Storage Media Group TechTarget.
Tackling the Storage Conundrum Joel Warford Sr. Director of Product Marketing.
SHAPE OF A NETWORK COPYRIGHT BTS TOPOLOGY The way the computers are cabled together Four different layouts Logical topology describes the way data travels.
11 CLUSTERING AND AVAILABILITY Chapter 11. Chapter 11: CLUSTERING AND AVAILABILITY2 OVERVIEW  Describe the clustering capabilities of Microsoft Windows.
Networking Components Eric Sestak LTEC Network Hub Hubs are old devices which are rarely ever seen anymore these days. Before switches were commonplace.
 The End to the Means › (According to IBM ) › 03.ibm.com/innovation/us/thesmartercity/in dex_flash.html?cmp=blank&cm=v&csr=chap ter_edu&cr=youtube&ct=usbrv111&cn=agus.
Unit III Bandwidth Utilization: Multiplexing and Spectrum Spreading In practical life the bandwidth available of links is limited. The proper utilization.
W&L Page 1 CCNA CCNA Training 2.5 Describe how VLANs create logically separate networks and the need for routing between them Jose Luis.
Tanenbaum & Van Steen, Distributed Systems: Principles and Paradigms, 2e, (c) 2007 Prentice-Hall, Inc. All rights reserved DISTRIBUTED SYSTEMS.
Internet Protocol Storage Area Networks (IP SAN)
Delivering a Modern IT Infrastructure Experience for our Customers Tim Joyce President and CEO Roundstone Solutions Inc
Click to edit Master title style Literature Review Interconnection Architectures for Petabye-Scale High-Performance Storage Systems Andy D. Hospodor, Ethan.
1 © 2004 Cisco Systems, Inc. All rights reserved. izn German government data storage facility cuts costs by 50 per cent.
University of Padova Department of Information Engineering On the Optimal Topology of Bluetooth Piconets: Roles Swapping Algorithms Daniele Miorandi &
1 CEG 2400 Fall 2012 Network Servers. 2 Network Servers Critical Network servers – Contain redundant components Power supplies Fans Memory CPU Hard Drives.
SAN 2001 Session 201 The Future of Storage Area Networks Milan Merhar Chief Scientist, Pirus Networks
Storage System Optimization. Introduction Storage Types-DAS/NAS/SAN The purposes of different RAID types. How to calculate the storage size for video.
INFSO-RI Enabling Grids for E-sciencE File Transfer Software and Service SC3 Gavin McCance – JRA1 Data Management Cluster Service.
Practical IT Research that Drives Measurable Results 1Info-Tech Research Group Get Moving with Server Virtualization.
Connectrix Storage Networking
Yiting Xia, T. S. Eugene Ng Rice University
Delivering a Modern IT Infrastructure Experience for our Customers
[Add Presentation Title: Insert tab > Header & Footer > Notes and Handouts] 4/15/2018 Tata/TCS Friends Life Case Study Ethernet Fabric/MLXe Data Centre.
Video Security Design Workshop:
Modeling and Evaluation of Fibre Channel Storage Area Networks
Nexsan iSeries™ iSCSI and iSeries Topologies Name Brian Montgomery
Infrastructure Health Assessment
N-Tier Architecture.
TCS Proof Of Concept Test VDX NOS 4.1 Virtual Fabrics/VLAN Translation
Direct Attached Storage and Introduction to SCSI
Direct Attached Storage Overview
GGF15 – Grids and Network Virtualization
CPE 401 / 601 Computer Network Systems
Storage Trends: DoITT Enterprise Storage
Data Center Architectures
Automating Profitable Growth™
Automating Profitable Growth
Automating Profitable Growth™
Presentation transcript:

STORAGE ARCHITECTURE/ MASTER: SAN Math for Core/Edge SANs Spicing it Right! Norman Owens Independent Storage Consultant

SAN Math for Core/Edge SANs Spicing it Right! Preview Distinctions between topologies 5 critical variables for sizing: S.P.I.C.E. Comparative sizing

Distinctions among topologies: 3 topology types Starting point: Island(s) of SAN A scaling design: Collocated SAN or “CoLo SAN” A scaling design: Core/Edge SAN

A SAN entry point Island(s) of SAN A starting point. Buy edge switches and disk as needed.

A scaling design: CoLo SAN A CoLo SAN Cluster servers and their storage in functional units on edge switches. Same as Islands but with Director added for the “any-to-any” connections.

A scaling design: Core/Edge SAN A Core/Edge SAN Place storage and critical servers on Director class switches and put all regular servers on edge switches.

0/0 Topology types: Which best describes your SAN plans? 1. Mostly Islands of SANs 2. Moving to Core/Edge with some Islands remaining 3. Moving to CoLo with some Islands remaining 4. Plan to link islands with tools outside of simple fibre channel connectivity 5. Meshing Directors together with few edge switches

0/0 Why do you have Islands? 1. It just happened 2. Department/Organizational structure encourages it 3. Islands bring stability by limiting scope of SAN impacts 4. Haven’t found an ROI for consolidation 5. We balance consolidation and islands depending on tiers of service

Core/Edge is better for disk 1.The edge switch is not as highly available as a director- class switch, so why put the most expensive component, the disk frame, on an edge switch? 2.The CoLo SAN isolates disk frames within functional groupings of servers. This is akin to the limitation of direct-attached storage, except, in this case, a group of servers rather than a single server “owns” the storage. 3.The CoLo SAN presents other scalability issues such as the limitation of the number of ports in the edge switch.

5 Critical variables for sizing: SPICE

The “SPICE” variables for sizing Core/Edge SANs S : How many SAN servers are needed? P : How many regular servers will share a storage port? I : How many regular servers will share an ISL between the edge switch and the director? C : How many ports are on a director/core switch? E : How many ports are on an edge switch? P&I are most dependent upon your applications.

The SPICE variables S How many SAN servers are needed? S = 28 P = 7 I = 7 C = 140 E = 16 P How servers share a storage port? I How servers share an ISL? C How ports are on the director/core switch? E How ports are on the edge switch? SPICE

The finer spicing “P” = “I” Why? The goal is to fully utilize a storage port; therefore, the total bandwidth coming across the ISLs to that storage port will be equal to the bandwidth between the storage port and the director class switch. So, if 10 servers can fill a storage port pipe then they will also fill 1 ISL.

SPICE math for sizing* S = Number of servers P = I, or “PI” Number of ISLs = ( S / PI ) Number of storage ports = ( S / PI ) Number of edge switches = (S + (S/PI) ) / E Server capacity of core switch = ( C / 2 ) * PI * Round up for each division

SPICE What is the practical effect of “PI”? Helps with charge-back. Provides a metric for separating the hog servers from the regulars, and perhaps charging more for hogs. It can be set higher than your Islands of SANs’ value but lower than what will probably be achieved. Thus, the migration can be properly budgeted and reports a moderately easy success. Following migration the production team can further refine the figure to a higher value.

SPICE for new Core/Edge SAN What is your S and P/I? 1.“S” is easy: How many servers do you want to have on the Core/Edge SAN when you declare a migration milestone? A question of project scope! 2.“PI” is harder Use existing SAN Island as a baseline but you can probably do better Use storage utilization metrics from critical non-SAN servers that will migrate Rely on vendor’s experience LOW estimates are easier to achieve

Comparative sizing

SPICE and 3 vendor comparisons Brocade Cisco McData

SPICE for new Core/Edge SAN PI = 7 What is your start point? Let’s assume:

Core/Edge SAN Building Block Brocade Brocade 3900 E = 32 ports per edge switch Brocade C = 128 ports per Core/Director switch

How many servers are supported by 1 Brocade edge switch? Answer: = ( (E / ( I + 1 ) ) * I = ( (32 / ( ) ) * 7 = 28 Servers (see next slide)

How many servers are supported by 1 Brocade edge switch? Answer = E - ( E / ( PI + 1 ) ) Answer = 32 – ( 32 / ( ) ) Answer = 28

How many servers could 1 Brocade Director support with this SPICE? Answer = ( C /2 ) * PI Answer = ( 128 /2 ) * 7 Answer = 448

Cisco 9140 E = 40 ports per edge switch Cisco 9509 C = 112 ports per Core/Director switch Core/Edge SAN building block CISCO

A caveat Fully-populated, the 9509 can hold 224 ports if 32-port blades are placed in all 7 slots. An assumption in my Core/Edge model is that you want to drive ISLs and storage points to maximum bandwidths which requires a non-blocking architecture. The 32-port blades can be very useful for attaching lesser performing devices directly into the core, but in this case the core switch takes on roles that the Core/Edge model would delegate to the Edge switches. Core/Edge SAN building block CISCO C = 112 ports per Core/Director switch

How many servers are supported by 1 Cisco edge switch? Answer: = ( (E / ( I + 1 ) ) * I = ( (40 / ( ) ) * 7 = 35 Servers (see next slide)

How many servers are supported by 1 Cisco edge switch? Answer = E - ( E / ( PI + 1 ) ) Answer = 40 – ( 40 / ( ) ) Answer = 35

How many servers could 1 Cisco Director support with this SPICE? Answer = ( C /2 ) * PI Answer = ( 112 /2 ) * 7 Answer = 392

McData 4500 E = 24 ports per edge switch McData 6140 C = 140 ports per Core/Director switch Core/Edge SAN building block McDATA

How many servers are supported by 1 McData edge switch? Answer: = ( (E / ( I + 1 ) ) * I = ( (24 / ( ) ) * 7 = 21 Servers (see next slide)

How many servers are supported by 1 McData edge switch? Answer = E - ( E / ( PI + 1 ) ) Answer = 24 – ( 24 / ( ) ) Answer = 21

How many servers could 1 McData Director support with this SPICE? Answer = ( C /2 ) * PI Answer = ( 140 /2 ) * 7 Answer = 490

SAN math for a Core/Edge SANs Conclusions A Core/Edge SAN has advantages for disk SANs Sizing for a Core/Edge SAN is dependent on only 2 variables under your control ( # of servers and PI or the fan-out ratio ) Once you have determined your SAN goals and set these 2 variables, then you can work up a bill of materials from your switch vendors rather than relying on their design/sales team