Three Talks • Scalability Terminology – Gray (with help from Devlin, Laing, Spix) • What Windows is doing re this – Laing • The M$

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Transcript Three Talks • Scalability Terminology – Gray (with help from Devlin, Laing, Spix) • What Windows is doing re this – Laing • The M$

Three Talks
• Scalability Terminology
– Gray (with help from Devlin, Laing, Spix)
• What Windows is doing re this
– Laing
• The M$ PetaByte (as time allows)
– Gray
1
Terminology for Scaleability
Bill Devlin, Jim Gray, Bill Laing, George Spix,,,,
paper at: ftp://ftp.research.microsoft.com/pub/tr/tr-99-85.doc
• Farms of servers:
Geo
Plex
– Clones: identical
• Scaleability + availability
Farm
– Partitions:
Partition
• Scaleability
Clone
– Packs
• Partition availability
via fail-over
• GeoPlex
– for disaster tolerance.
Pack
Shared
Nothing
ActivePassive
Shared
Disk
Shared
Nothing
ActiveActive
2
Unpredictable Growth
• The TerraServer Story:
– Expected 5 M hits per day
– Got 50 M hits on day 1
– Peak at 20 M hpd on a “hot” day
– Average 5 M hpd over last 2 years
• Most of us cannot predict demand
– Must be able to deal with NO demand
– Must be able to deal with HUGE demand
3
Web Services Requirements
• Scalability: Need to be able to add capacity
– New processing
– New storage
– New networking
• Availability: Need continuous service
– Online change of all components (hardware and software)
– Multiple service sites
– Multiple network providers
• Agility: Need great tools
– Manage the system
– Change the application several times per year.
– Add new services several times per year.
4
Premise:
Each Site is a
Farm
• Buy computing by the slice (brick):
– Rack of servers + disks.
– Functionally specialized servers
Building 11
Internal W W W
Staging Serv ers
(7)
Log Proc es s ing
Ave CFG:4x P6,
1 GB R AM,
180 GB H D
Ave Cost:$128K
FY98 Fcst: 2
– Spread data and
computation
to new slices
• Two styles:
SQLN et
Feeder LAN
R outer
Live SQL Servers
MOSW es t
Admin LAN
Liv e SQL Serv er
All s erv ers in Building11
are ac c es s able from
c orpnet.
www.microsoft.com
(4)
register.microsoft.com
(2) Ave CFG:4x P6,
home.microsoft.com
(4)
premium.microsoft.com
Ave CFG:4x P6, (2)
512 R AM,
30 GB H D
Ave Cost:$35K
FY98 Fcst: 3
Ave CFG:4x P6,
512 R AM,
160 GB H D
Ave Cost:$83K
FY98 Fcst: 12
Ave CFG:4x P6,
512 R AM,
50 GB H D
Ave Cost:$35K
FY98 Fcst:2
www.microsoft.com
(4)
Ave CFG:4x P6
512 R AM
28 GB H D
Ave Cost: $35K
FY98 Fcst: 17
FD D I R ing
(MIS1)
FD D I R ing
(MIS2)
activex.microsoft.com
(2)
Ave CFG:4x P6,
256 R AM,
30 GB H D
Ave Cost:$25K
FY98 Fcst: 2
R outer
register.msn.com
(2)
search.microsoft.com
(1)
www.microsoft.com
premium.microsoft.com
(3)
(1)
Ave CFG:4x P6,
Ave CFG:4x P6,
512 R AM,
30 GB H D
Ave Cost:$35K
FY98 Fcst: 1
512 R AM,
50 GB H D
Ave Cost:$50K
FY98 Fcst:1
HTTP
Download Servers
(2)
SQL SERVERS
(2)
Ave CFG:4x P6,
512 R AM,
160 GB H D
Ave Cost:$80K
FY98 Fcst: 1
msid.msn.com
(1)
Sw itc hed
Ethernet
FTP
Download Server
(1)
search.microsoft.com
(2)
R outer
support.microsoft.com
search.microsoft.com
(1)
(3)
2
Ethernet
(100 Mb/Sec Each)
R outer
Sec ondary
Gigas w itc h
R outer
www.microsoft.com
(5)
Internet
FD D I R ing
(MIS4)
support.microsoft.com
(2)
Ave CFG:4x P6,
512 R AM,
30 GB H D
Ave Cost:$35K
FY98 Fcst: 9
\\Tw eek s \Statis tic s \LAN and Serv er N ame Info\C lus ter Proc es s Flow \MidYear98a.v s d
12/15/97
– Clones: anonymous servers
– Parts+Packs: Partitions fail over within a pack
• In both cases,
GeoPlex remote farm for disaster recovery
13
DS3
(45 Mb/Sec Each)
Ave CFG:4x P5,
512 R AM,
30 GB H D
Ave Cost:$28K
FY98 Fcst: 0
register.microsoft.com
(2)
register.microsoft.com
(1)
(100Mb/Sec Each)
Internet
FTP.microsoft.com
(3)
msid.msn.com
(1)
2
OC3
Primary
Gigas w itc h
R outer
R outer
Ave CFG:4x P5,
256 R AM,
20 GB H D
Ave Cost:$29K
FY98 Fcst:2
Sw itc hed
Ethernet
Japan Data Center
Internet
premium.microsoft.com
(1)
FD D I R ing
(MIS3)
SQL SERVERS
(2)
Ave CFG:4x P6,
512 R AM,
160 GB H D
Ave Cost:$80K
FY98 Fcst: 1
R outer
R outer
home.microsoft.com
(2)
Ave CFG:4x P6,
512 R AM,
30 GB H D
Ave Cost:$28K
FY98 Fcst: 7
R outer
msid.msn.com
(1)
FTP
Download Server
(1)
R outer
Ave CFG:4x P6,
512 R AM,
30 GB H D
Ave Cost:$28K
FY98 Fcst: 3
cdm.microsoft.com
(1)
Ave CFG:4x P5,
256 R AM,
12 GB H D
Ave Cost:$24K
FY98 Fcst:0
512 R AM,
30 GB H D
Ave Cost:$35K
FY98 Fcst: 1
msid.msn.com
(1)
search.microsoft.com
(3)
home.microsoft.com
(3)
Ave CFG:4x P6,
1 GB R AM,
160 GB H D
Ave Cost:$83K
FY98 Fcst: 2
msid.msn.com
(1)
512 R AM,
30 GB H D
Ave Cost:$43K
FY98 Fcst: 10
Ave CFG:4x P6,
512 R AM,
50 GB H D
Ave Cost:$50K
FY98 Fcst:17
www.microsoft.com
(3)
www.microsoft.com premium.microsoft.com
(1)
Ave CFG:4x P6,
Ave CFG:4x P6,(3)
512 R AM,
50 GB H D
Ave Cost:$50K
FY98 Fcst:1
SQL Consolidators
DMZ Staging Servers
R outer
SQL R eporting
Ave CFG:4x P6,
512 R AM,
160 GB H D
Ave Cost:$80K
FY98 Fcst: 2
European Data Center
IDC Staging Servers
MOSWest
FTP Serv ers
Ave CFG:4x P5,
512 R AM,
D ow nload 30 GB H D
R eplic ation Ave Cost:$28K
FY98 Fcst: 0
• Grow by adding slices
The Microsoft.Com Site
Ave CFG:4x P5,
512 R AM,
30 GB H D
Ave Cost:$35K
FY98 Fcst: 12
home.microsoft.com
(5)
Microsoft.com late
Canyon Park
FTP
Build Servers
IIS
Application
Exchange
Network/Monitoring
SQL
Search
NetShow
NNTP
5
SMTP
Stagers
total
2000
6
32
210
2
24
12
120
2
3
16
6
26
459
Scaleable Systems
Scale UP • ScaleUP: grow by
adding components
to a single system.
• ScaleOut: grow by
adding more systems.
Scale OUT
6
ScaleUP
and Scale OUT
• Everyone does both.
• Choice’s
• 1M$/slice
– IBM S390?
– Sun E 10,000?
– Size of a brick
• 100 K$/slice
– Clones or partitions
– Wintel 8X
• 10 K$/slice
– Size of a pack
• Who’s software?
– scaleup and scaleout
both have a large
software component
– Wintel 4x
• 1 K$/slice
– Wintel 1x
7
Clones: Availability+Scalability
• Some applications are
– Read-mostly
– Low consistency requirements
– Modest storage requirement (less than 1TB)
• Examples:
– HTML web servers (IP sprayer/sieve + replication)
– LDAP servers (replication via gossip)
• Replicate app at all nodes (clones)
• Load Balance:
– Spray& Sieve: requests across nodes.
– Route: requests across nodes.
• Grow: adding clones
• Fault tolerance: stop sending to that clone.
8
Two Clone Geometries
• Shared-Nothing: exact replicas
• Shared-Disk (state stored in server)
Shared Nothing Clones
Shared Disk Clones
If clones have any state: make it disposable.
Manage clones by reboot, failing that replace.
One person can manage thousands of clones.
9
Clone Requirements
• Automatic replication (if they have any state)
– Applications (and system software)
– Data
• Automatic request routing
– Spray or sieve
• Management:
– Who is up?
– Update management & propagation
– Application monitoring.
• Clones are very easy to manage:
– Rule of thumb: 100’s of clones per admin.
10
Partitions for Scalability
• Clones are not appropriate for some apps.
– State-full apps do not replicate well
– high update rates do not replicate well
• Examples
–
–
–
–
–
Email
Databases
Read/write file server…
Cache managers
chat
• Partition state among servers
• Partitioning:
– must be transparent to client.
– split & merge partitions online
11
Packs for Availability
• Each partition may fail (independent of others)
• Partitions migrate to new node via fail-over
– Fail-over in seconds
• Pack: the nodes supporting a partition
– VMS Cluster, Tandem, SP2 HACMP,..
– IBM Sysplex™
– WinNT MSCS (wolfpack)
•
•
•
•
Partitions typically grow in packs.
ActiveActive: all nodes provide service
ActivePassive: hot standby is idle
Cluster-In-A-Box now commodity
12
Partitions and Packs
Partitions
Scalability
Packed Partitions
Scalability + Availability
13
Parts+Packs Requirements
• Automatic partitioning (in dbms, mail, files,…)
–
–
–
–
Location transparent
Partition split/merge
Grow without limits (100x10TB)
Application-centric request routing
• Simple fail-over model
– Partition migration is transparent
– MSCS-like model for services
• Management:
– Automatic partition management (split/merge)
– Who is up?
– Application monitoring.
14
GeoPlex: Farm Pairs
•
•
•
•
•
Two farms (or more)
State (your mailbox, bank account)
stored at both farms
Changes from one
sent to other
When one farm fails
other provides service
Masks
– Hardware/Software faults
– Operations tasks (reorganize, upgrade move)
– Environmental faults (power fail, earthquake, fire)
15
Directory
Fail-Over
Load Balancing
• Routes request to right farm
– Farm can be clone or partition
• At farm, routes request to right service
• At service routes request to
– Any clone
– Correct partition.
• Routes around failures.
16
Availability
99999
well-managed nodes
Masks some hardware failures
well-managed packs & clones
Masks hardware failures,
Operations tasks (e.g. software upgrades)
Masks some software failures
well-managed GeoPlex
Masks site failures (power, network, fire, move,…)
17
Masks some operations failures
Cluster Scale Out Scenarios
The FARM: Clones and Packs of Partitions
Packed Partitions: Database Transparency
SQL Partition 3
Cloned
Packed
file
servers
SQL Partition 2
replication
Web File StoreA
Web File StoreB
Web
Clients
SQL
SQLPartition1
Database
SQL Temp State
Load Balance
Cloned
Front Ends
(firewall, 18
sprayer,
web server)
• TerraServer:
–
–
–
–
Some Examples:
6 IIS clone front-ends (wlbs)
3-partition 4-pack backend: 3 active 1 passive
Partition by theme and geography (longitude)
1/3 sysadmin
• Hotmail:
–
–
–
–
–
–
1000 IIS clone HTTP login
3400 IIS clone HTTP front door
+ 1000 clones for ad rotator, in/out bound…
115 partition backend (partition by mailbox)
Cisco local director for load balancing
50 sysadmin
• Google: (inktomi is similar but smaller)
– 700 clone spider
– 300 clone indexer
– 5-node geoplex (full replica)
– 1,000 clones/farm do search
– 100 clones/farm for http
– 10 sysadmin
See Challenges to Building Scalable Services: A Survey of Microsoft’s Internet Services,
Steven Levi and Galen Hunt http://big/megasurvey/megasurvey.doc.
19
Acronyms
• RACS: Reliable Arrays of Cloned Servers
• RAPS: Reliable Arrays of partitioned and
Packed Servers (the first p is silent ).
20
Emissaries and Fiefdoms
• Emissaries are stateless (nearly)
Emissaries are easy to clone.
• Fiefdoms are stateful
Fiefdoms get partitioned.
21
Summary
Geo
Plex
• Terminology for scaleability
• Farms of servers:
Farm
– Clones: identical
Partition
• Scaleability + availability
– Partitions:
Clone
Pack
• Scaleability
– Packs
• Partition availability via fail-over
Shared
Nothing
Shared
Disk
• GeoPlex for disaster tolerance.
Shared
Nothing
ActiveActive
ActivePassive
Architectural Blueprint for Large eSites
Bill Laing http://msdn.microsoft.com/msdn-online/start/features/DNAblueprint.asp
Scalability Terminology: Farms, Clones, Partitions, and Packs: RACS and RAPS
Bill Devlin, Jim Gray, Bill Laing, George Spix MS-TR-99-85
ftp://ftp.research.microsoft.com/pub/tr/tr-99-85.doc
22
Three Talks
• Scalability Terminology
– Gray (with help from Devlin, Laing, Spix)
• What Windows is doing re this
– Laing
• The M$ PetaByte (as time allows)
– Gray
23
What Windows is Doing
• Continued architecture and analysis work
• AppCenter, BizTalk, SQL, SQL Service Broker, ISA,…
all key to Clones/Partitions
• Exchange is an archetype
– Front ends, directory, partitioned, packs, transparent mobility.
•
•
•
•
•
NLB (clones) and MSCS (Packs)
High Performance Technical Computing
Appliances and hardware trends
Management of these kind of systems
Still need good ideas on….
24
Architecture and Design work
• Produced an architectural Blueprint for large eSites
published on MSDN
– http://msdn.microsoft.com/msdn-online/start/features/DNAblueprint.asp
• Creating and testing instances of the architecture
– Team led by Per Vonge Neilsen
– Actually building and testing examples of the architecture
with partners. (sometimes known as MICE)
• Built a scalability “Megalab” run by Robert Barnes
– 1000 node cyber wall,
315 1U Compaq DL360s,
32 8ways, 7000 disks
25
26
Clones and Packs aka Clustering
• Integrated the NLB and MSCS teams
– Both focused on scalability and availability
– NLB for Clones
– MSCS for Partitions/Packs
• Vision is a single communications and group
membership infrastructure and a set of management
tools for Clones, Partitions, and Packs
• Unify management for clones/partitions at
BOTH: OS and app level
(e.g. IIS, Biztalk, AppCenter, Yukon, Exchange…)
27
Clustering in Whistler Server
•
Microsoft Cluster Server
– Much improved setup and installation
– 4 node support in Advanced server
•
•
•
•
•
•
Kerberos support for Virtual Servers
Password change without restarting cluster service
8 node support in Datacenter
SAN enhancements (Device reset not bus reset for disk arbitration,
Shared disk and boot disk on same bus)
Quorum of nodes supported (no shared disk needed)
Network Load Balancer
– New NLB manager
•
•
•
Bi-Directional affinity for ISA as a Proxy/Firewall
Virtual cluster support (Different port rules for each IP addr)
Dual NIC support
28
Geoclusters
• AKA - Geographically dispersed (Packs)
– Essentially the nodes and storage are replicated at 2
sites, disks are remotely mirrored
• Being deployed today, helping vendors them get
certified, we still need better tools
• Working with
– EMC, Compaq, NSISoftware, StorageApps
• Log shipping (SQL) and extended VLANs (IIS)
are also solutions
29
High Performance Computing
Last year (CY2000)
•
This work is a part of server scaleout efforts (BLaing)
•
Web site and HPC Tech Preview
CD late last year
–
•
–
–
•
•
•
–
–
–
A W2000 “Beowulf” equivalent
w/ 3rd-party tools
Better than the competition
–
This year (CY2001)
•
Partner w/ Cornell/MPI-Soft/+
–
–
•
10-25% faster than Linux on SMPs
(2, 4 & 8 ways)
•
More reliable than SP2 (!)
Better performance & integration
w/ IBM periphs (!)
•
But it lacks MPP debugger, tools,
evangelism, reputation
See ../windows2000/hpc
Also \\jcbach\public\cornell*
•
Unix to W2000 projects
Evangelism of commercial HPC
(start w/ financial svcs)
Showcase environment & apps
(EBC support)
First Itanium FP “play-offs”
BIG tools integration / beta
Dell & Compaq offer web HPC
buy and support experience (buy
capacity by-the-slice)
Beowulf-on-W2000 book by Tom
Sterling (author of Beowulf on
Linux)
Gain on Sun in the
www.top500.org list
Address the win-by-default
assumption for Linux in HPC
30
No vendor has succeeded in bringing MPP to non-sci/eng venues & $$$… we will.
Appliances and Hardware Trends
• The appliances team under TomPh is focused on
dramatically simplifying the user experience of
installing the kind of devices
– Working with OEMs to adopt WindowsXP
• Ultradense servers are on the horizon
– 100s of servers per rack
– Manage the rack as one
• Infiniband and 10 GbpsEthernet change things.
31
Operations and Management
• Great research work done in MSR on this topic
– The Mega services paper by Levi and Hunt
– The follow on BIG project developed the ideas of
• Scale Invariant Service Descriptions with
• automated monitoring and
• deployment of servers.
• Building on that work in Windows Server group
• AppCenter doing similar things at app level
32
Still Need Good Ideas on…
• Automatic partitioning
• Stateful load balancing
• Unified management of clones/partitions
at both app and OS level
33
Three Talks
• Scalability Terminology
– Gray (with help from Devlin, Laing, Spix)
• What Windows is doing re this
– Laing
• The M$ PetaByte (as time allows)
– Gray
34
We're building Petabyte Stores
• Soon everything can be
recorded and indexed
• Hotmail 100TB now
• MSN 100TB now
• List price is 800M$/PB
(including FC switches & brains)
• Must Geoplex it.
• Can we get if for 1M$/PB?
• Personal 1TB stores for 1k$
Everything
!
Recorded
Zetta
Exa
All Books
MultiMedia
Peta
All LoC books
(words)
Tera
.Movi
e
A Photo
A Book
24 Yecto, 21 zepto, 18 atto, 15 femto, 12 pico, 9 nano, 6 micro, 3 milli
Yotta
Giga
Mega
35
Kilo
Building a Petabyte Store
500
• EMC ~ 500k$/TB =
plus FC switches plus…
• TPC-C SANs (Dell 18GB/…)
• Dell local SCSI, 3ware
• Do it yourself:
400
• a billion here, a billion there,
soon your talking about real money!
500 M$/PB
800 M$/PB
62 M$/PB
20 M$/PB
5 M$/PB
300
200
100
0
EMC
Dell/3ware
36
•
320 GB, 2k$ (now)
4x80 GB IDE
6M$ / PB
(2 hot plugable)
– (1,000$)
• SCSI-IDE bridge
– 200k$
• Box
–
–
–
–
500 Mhz cpu
256 MB SRAM
Fan, power, Enet
500$
• Ethernet Switch:
– 150$/port
• Or 8 disks/box
640 GB for ~3K$ ( or 300 GB RAID)
37
Hot Swap Drives for
Archive or Data Interchange
• 25 MBps write
(so can write
N x 80 GB
in 3 hours)
• 80 GB/overnite
= ~N x 2 MB/second
@ 19.95$/nite
Compare to 1$/GB
via Internet
38
A Storage Brick
• 2 x 80GB disks
• 500 Mhz cpu (intel/ amd/ arm)
• 256MB ram
• 2 eNet RJ45
• Fan(s)
• Current disk form factor
• 30 watt
• 600$ (?)
 per rack (48U - 3U/module - 16 units/U)
 400 disks, 200 whistler nodes
 32 TB
 100 Billion Instructions Per Second
 120 K$/rack, 4 M$/PB,
 per Petabyte (33 racks)
 4 M$
 3 TeraOps (6,600 nodes)
 13 k disk arms (1/2 TBps IO)
39
What Software Do The Bricks Run?
•
•
•
•
Each node has an OS
Each node has local resources: A federation.
Each node does not completely trust the others.
Nodes use RPC to talk to each other
– COM+ SOAP, BizTalk
• Huge leverage in high-level interfaces.
Applications • Same old distributed system story.
Applications
?
RPC
streams
datagrams
?
RPC
streams
datagrams
CLR
CLR
40
Infiniband /Gbps Ehternet
Storage Rack in 2 years?
• 300 arms
• 50TB (160 GB/arm)
• 24 racks
48 storage processors
2x6+1 in rack
• Disks = 2.5 GBps IO
• Controllers = 1.2 GBps IO
• Ports
500 MBps IO
• My suggestion: move
the processors into
the storage racks.
41
Auto Manage Storage
• 1980 rule of thumb:
– A DataAdmin per 10GB, SysAdmin per mips
• 2000 rule of thumb
– A DataAdmin per 5TB
– SysAdmin per 100 clones (varies with app).
• Problem:
– 5TB is 60k$ today, 10k$ in a few years.
– Admin cost >> storage cost???
• Challenge:
– Automate ALL storage admin tasks
42
It’s Hard to Archive a Petabyte
It takes a LONG time to restore it.
• At 1GBps it takes 12 days!
• Store it in two (or more) places online (on disk?).
A geo-plex
• Scrub it continuously (look for errors)
• On failure,
– use other copy until failure repaired,
– refresh lost copy from safe copy.
• Can organize the two copies differently
(e.g.: one by time, one by space)
43
Call To Action
• Lets work together to make storage bricks
– Low cost
– High function
• NAS (network attached storage)
not SAN (storage area network)
• Ship NT8/CLR/IIS/SQL/Exchange/…
with every disk drive
44
Three Talks
• Scalability Terminology
– Gray (with help from Devlin, Laing, Spix)
• What Windows is doing re this
– Laing
• The M$ PetaByte (as time allows)
– Gray
45
Cheap Storage
• Disks are getting cheap:
• 3 k$/TB disks (12 80 GB disks @ 250$ each)
40
1000
900
40
Price
disk capacity
capacity
Price vs
vs disk
900
800
800
700
IDE
SCSI
600
700
SCSI
IDE
y = 15.895x + 13.446
raw
raw k$/TB
3030
k$/TB
300
y = 13.322x - 1.4332
200
y = 5.7156x + 47.857
400
300
SCSI
IDE
20
$
400
500
SCSI
IDE
2525
$
$ $
500
600
35
35
20
15
1015
7
510
100
200
0
0
1000
10
0
0
20
40
y 30
=unit
3.0635x
+
Raw Disk
Size GB
50
40.542
20
40
60
Raw Disk unit Size GB
60
5
0
10
0
80
0
20
20
30
40
Disk unit size GB
50
60
40
Disk unit size GB
60 46
80
All Device Controllers will be Super-Computers
• TODAY
– Disk controller is 10 mips risc engine
with 2MB DRAM
– NIC is similar power
• SOON
– Will become 100 mips systems
with 100 MB DRAM.
Central
Processor &
Memory
• They are nodes in a federation
(can run Oracle on NT in disk controller).
• Advantages
–
–
–
–
–
Uniform programming model
Great tools
Security
Economics (cyberbricks)
Move computation to data (minimize traffic)
Tera Byte
Backplane
54