IBM System Storage Zakręceni i Zamotani 2011

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1 Mirosław Pura IBM Systems and Technology Group IBM System Storage Zakręceni i Zamotani 2011

2 Disclaimer Copyright 2011 by International Business Machines Corporation. No part of this document may be reproduced or transmitted in any form without written permission from IBM Corporation. Product data has been reviewed for accuracy as of the date of initial publication. Product data is subject to change without notice. This information could include technical inaccuracies or typographical errors. IBM may make improvements and/or changes in the product(s) and/or programs(s) at any time without notice. Any statements regarding IBM's future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only. References in this document to IBM products, programs, or services does not imply that IBM intends to make such such products, programs or services available in all countries in which IBM operates or does business. Any reference to an IBM Program Product in this document is not intended to state or imply that only that program product may be used. Any functionally equivalent program, that does not infringe IBM's intellectually property rights, may be used instead. It is the user's responsibility to evaluate and verify the operation of any on-ibm product, program or service. THE INFORMATION PROVIDED IN THIS DOCUMENT IS DISTRIBUTED "AS IS" WITHOUT ANY WARRANTY, EITHER EXPRESS OR IMPLIED. IBM EXPRESSLY DISCLAIMS ANY WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE OR NONINFRINGEMENT. IBM shall have no responsibility to update this information. IBM products are warranted according to the terms and conditions of the agreements (e.g., IBM Customer Agreement, Statement of Limited Warranty, International Program License Agreement, etc.) under which they are provided. IBM is not responsible for the performance or interoperability of any non-ibm products discussed herein. The provision of the information contained herein is not intended to, and does not, grant any right or license under any IBM patents or copyrights. Inquiries regarding patent or copyright licenses should be made, in writing, to: IBM Director of Licensing IBM Corporation North Castle Drive Armonk, NY U.S.A.

3 Agenda Pozycjonowanie produktów klasy Enterprise Zakręceni jak słoik z dżemem czyli o obrotach ciał dyskowych Macierze dyskowe z rodziny DS8800 Easy Tier v 2: trzykrotne skrócenie czasu obsługi I/O Zamotani jak metr sznurka w kieszeni czy prawdziwi twardziele mają czas na backup? Systemy taśmowe IBM w roku 2011: rzeczywiste i wirtualne 3

4 Pozycjonowanie elementów infrastruktury IT Klasa Enterprise musi adresować: Poprawę poziomu usług IT nie tylko poprzez zapewnienie wysokiej dostępności i jakości, ale także poprzez sprostanie rosnącym oczekiwaniom Klientów Obniżenie kosztów IT nie tylko poprzez redukcję wydatków operacyjnych, ale także poprzez podniesienie produktywności zespołu IT wprowadzając konsolidację i wirtualizację zasobów Zarządzanie ryzykiem IT zapewnić bezpieczeństwo i ochronę danych przy równoczesnym kontrolowanym udostępnianiu informacji przez Internet

5 Jakie metody oceny wydajności macierzy dyskowych są stosowane w praktyce? Poziom 0 brak metodologii pomiaru i oceny wydajności Poziom 1 zgadywanie, ocena szacunkowa, metoda prób i błędów Poziom 2 modelowanie wydajności na podstawie parametrów technicznych macierzy oraz charakterystyki aplikacji Poziom 3 stałe gromadzenie historycznych danych statystycznych, świadome wprowadzanie zmian

6 Elementy wpływające na wydajność aplikacji model teoretyczny Parametry techniczne macierzy Charakterystyka aplikacji Parametry macierzy Charakterystyka aplikacji Narzędzia modelowania Baza wiedzy Wynik podstawowy: Czas odpowiedzi Algorytm inteligentnego modelowania Baza wiedzy Wyniki dodatkowe: Wykorzystanie [%] Raport: Wyniki modelowania wydajności macierzy

7 Elementy wpływające na wydajność aplikacji model teoretyczny Parametry techniczne macierzy Liczba adapterów / portów FC Wielkość pamięci podręcznej Parametry macierzy Charakterystyka aplikacji Liczba i rodzaj dysków Tryb RAID Inne (np. rodzaj procesora) Algorytm inteligentnego modelowania Baza wiedzy Raport: Wyniki modelowania wydajności macierzy

8 Elementy wpływające na wydajność aplikacji model teoretyczny Charakterystyka aplikacji Typ systemu operacyjnego Parametry macierzy Charakterystyka aplikacji Liczba IO/s generowana przez serwer Średnia wielkość IO Procentowy udział operacji: Odczyty / Zapisy Sekwencyjne / Random Procent trafień w pamięć cache Algorytm inteligentnego modelowania Raport: Wyniki modelowania wydajności macierzy Baza wiedzy

9 Elementy wpływające na wydajność aplikacji model teoretyczny Wyniki modelowania wydajności macierzy (Service time, Utilization, Throughput) są powiązane pomiędzy sobą zależnościami arytmetycznymi opartymi na teorii kolejkowania (Queueing Theory) Kolejka Macierz Żądanie wchodzące Żądania oczekujące Żądanie obsługiwane Żądanie wychodzące

10 Elementy wpływające na wydajność aplikacji model teoretyczny Zależność wynikająca z prawa J. Little a (1961, Operations Research vol 9): [Q] Queue length: Q = X * R [X] Throughput: liczba żądań obsłużonych (na sekundę) [R] Residence time: czas od wejścia do opuszczenia kolejki (ms) [W] Wait time: W = Q * S R = (Q * S) + S [S] Service time: czas obsługi żądania (ms) Żądanie wchodzące Żądania oczekujące Żądanie obsługiwane Żądanie wychodzące

11 Przygotowanie danych wejściowych do procesu modelowania wydajności Zbieranie danych wejściowych jest procesem pracochłonnym Dostępne są różne narzędzia systemowe (AIX, z/os v1.11, i5/os V6R1) Popularny program iostat nie zbiera statystyk trafień w cache Dla systemów operacyjnych OS/400, i5/os korzystamy z raportów zgromadzonych przy pomocy Performance Tool Dla systemów operacyjnych z/os korzystamy z raportów zgromadzonych przy pomocy SMF (SA MVS System Management Facilities) SMF record types: 4, 14, 15, 30, 32, 34, 40, 42 oraz 64 i 74

12 Interpretacja wyników przygotowanie wniosków technicznych i biznesowych DS8700 w 256 ddm Krpm RAID-5 vs RAID Service Time in ms (Open) Base # 1 - DS8700 (4-way) (RAID-10) Service time (ms) Solve # 1 - DS8700 (4-way) (RAID-5) Service time (ms) Total I/O Rate (I/Os per second)

13 4th-generation DS8000 enterprise disk system The IBM POWER processor has been behind the success of IBM enterprise storage beginning with the Enterprise Storage Server in 1999 (aka Shark 2105 with Power 4) POWER5 POWER5+ POWER6 POWER6+ DS8100/ DS8100/ DS8300 DS8300 DS8100/ DS8100/ DS8300 DS8300 Turbo Turbo DS8700 DS8700 DS8800 DS8800 Binary Compatibility DS8800 builds on a market-proven, reliable code base! 13

14 Parametry techniczne macierzy IBM DS8700 Dostępny od dnia: 23 Października 2009 Klaster Power6: Pamięć podręczna: Ochrona danych: 4,7 GHz 2-way4,7 GHz 4-way 32 / 64 / 128 / 256 / 384 GB RAID-5, RAID-10, RAID-6 Dwuportowe dyski FC: Wysoka wydajność: 73 / 146 GB SSD Standardowe dyski: 300 / 450 / Krpm, Wysoka pojemność: ,2 Krpm (FATA) Przyłączalność: 32 karty (128 portów) FC/Ficon 4Gb/s, Rozbudowa pojemności: do 1024 napędów dyskowych, Zasilanie redundantne, 3-fazowe + baterie

15 Parametry techniczne macierzy IBM DS8800 Dostępny od dnia: 22 Października 2010 Klaster Power6+: Pamięć podręczna: Ochrona danych: 5,0 GHz 2-way5,0 GHz 4-way 32 / 64 / 128 / 256 / 384 GB RAID-5, RAID-10, RAID-6 Dwuportowe dyski FC: Wysoka wydajność: 300 GB SSD Standardowe dyski: Krpm (SAS-2 2,5 ) Wysoka pojemność: 450 / Krpm (SAS-2 2,5 ) Przyłączalność: 16 kart (128 portów) FC/Ficon 8 Gb/s, Rozbudowa pojemności: do 1056 napędów dyskowych, Zasilanie redundantne, 3-fazowe + baterie

16 Disk enclosure comparison New high-density enclosures DS8700 Megapack DS8800 Gigapack Disk Technology 3.5 (LFF) Fibre Channel Throughput 2Gbps FC interconnect backbone 2Gbps FC to disks Density Supports 16 disks per enclosure 3.5U of vertical rack space Cabling Passive copper interconnect Modularity Rack level power Rack level cooling Disk Technology 2.5 (SFF) SAS Throughput 8Gbps FC interconnect backbone 6Gbps SAS to disks Density Supports 24 disks per enclosure 2U of vertical rack space Cabling Optical short wave multimode interconnect Modularity Integrated power Integrated cooling

17 DS8800 Storage System IO Bay IO Bay GX / PCIe GX / PCIe P6 P6 P6 RIO-G RIO-G Loop RIO-G P6 GX / PCIe GX / PCIe

18 Porównanie wydajności DS8800 Component Results 4port HA; RAID5 arrays DS8700 DS8800 % increase HA 4KB Read 4KB K IOps % HA 4KB Write 4KB K IOps % HA 64KB Read GBps % HA 64KB Write GBps % DA Pair 4KB Read 4KB K IOps % DA Pair 4KB Write 4KB K IOps % DA Pair 64KB Read GBps % DA Pair 64KB Write GBps %

19 Porównanie wydajności c.d. DS8800 Full Box Results 96x RAID5 Arrays 768x 15K RPM HDDs, 16x SSDs, 8x DA Pair, 16x HA w/ 32x 8Gb ports DS8300 DS8700 DS8800 % increase (vs. DS8300) Seq Read GBps % (203%) Seq Write GBps % (205%) Database Open 4KB K IOps % (19%) 4K Read Miss 4KB K IOps % (44%) 4K Read Hits 4KB K IOps % (25%) 4K Write Hits 4KB K IOps % (35%)

20 SSD Latency with DS8700/DS

21 Superior Caching Efficiency and Performance DS8000 uses 4 KB cache slot size Superior efficiency versus 16 or 64 KB slots used by other vendors Self learning algorithms Adaptively and dynamically learns what data should be stored in cache based upon recent access and frequency of access Open Systems LUN OR System z 3390 Device Experience has taught me DS8000 Intelligent Caching Should I keep this data? What data is needed next by the host? Benefits include larger effective cache due to smaller cache slot size 21

22 Cache Algorithms in DS8000 Sequential Adaptive Replacement Cache (SARC) Self tuning algorithm to support a mix of sequential and random I/O streams SARC determines When data is copied into cache Which data is copied into the cache Which data is evicted when the cache becomes full How to adapt the algorithm to differing workloads Not just least recently used, but also how frequently referenced Resists tendency to store one time use sequential data in cache Adaptive Multi-Stream Pre-fetching (AMP) Complements SARC by managing sequential read pre-fetch cache. Determines when and what should be pre-fetched Addresses pre-fetch waste When pre-fetched data is evicted from cache before it is used Avoids cache pollution When less useful data is pre-fetched instead of more useful data 22

23 Intelligent Write Caching Intelligent Write Caching (IWC) Improves performance through better write cache management and better destage order of writes Based on two well known algorithms CLOCK and CSCAN How IWC Works: Organize write groups into a sorted order forming a clock Clock hand moves clockwise destaging write groups in order Write groups are created with bit initialized to 0 Clock hand can only destage groups with bit 0 When clock hand encounters a write group with bit 1, it resets bit to zero and skips it On a write to an existing group (write hit), set the bit to 1 Head and Tail are glued to form a SORTED CLOCK 23

24 Wybrane Cechy Macierzy DS8800 EAV Obsługa woluminów Extended Address Volume, Dynamiczne zwiększanie pojemności wolumenu Dla Open Systems do 16 TB Dla CKD do 223 GB (w cylindrach: 4 x 64 K = 262,668 cyls) zhpf (high performance FICON) wersja zgodna z protokołem FC-SB4 Thin Provisioning (dla wolumenów FB) Quick Init (szybki format LUN) Dyski SSD (300 GB) praktyka: wymiana od 5% do 10% wybranej przestrzeni dyskowej na SSD poprawia trzykrotnie wydajność środowiska

25 Cechy funkcjonalne macierzy IBM DS8800 Copy Services: FlashCopy, Metro Mirror, Global Mirror Space-Efficient FlashCopy Remote Pair FlashCopy z/os Metro/Global Mirror (XRC) Hyper PAV Basic HyperSwap Easy Tier v 2 I/O Priority Manager Wsparcie dla GDPS v 3.8 Base frame (951) 1st expansion frame (95E) 2nd expansion frame (95E)

26 Easy Tier Automatic Mode Overview Extent Migration Plan built based on I/O statistics Dynamically relocates a logical volume s extents Hot extents relocated to higher performance class of disk (enterprise SSD) Cold extents relocated to lower performance class of disk (enterprise Nearline) Extent level relocation requires mixed technologies in a merged extent pool (between any two tiers) SSD + Enterprise or SSD + Nearline or Enterprise + Nearline DS8000 Extent Size 1GB for FB 3390 Mod 1 (0.94 GB) for CKD Improves storage cost-performance Utilize Storage Tier Advisor tool to determine optimal SSD configuration and benefits 26

27 Easy Tier Automatic Mode Extent Relocation Logical Volume Extent Virtualization Mixed Technology Extent Pool SSD Arrays Cold Extents Migrate Down Hot Extents Migrate Up HDD Arrays 27

28 Easy Tier Automatic Mode Operation Monitors stage/destage activity on each extent to determine the data temperature Can be set to monitor all volumes or merged extent pool volumes (default) Develops an extent migration plan for optimal data placement every 24 hours of I/O statistics Read/write, random/sequential, large/small transfer size all collected as input to developing the migration plan Temperature generated is based on cumulative average latency time Migrates extents within an extent pool according to plan over 24 hour period A limited number of extents are chosen for migration every 5 minutes Monitors whether rank workload exceeds rank performance capability Rank, DA and cluster level thresholds Provides a net improvement in response time and throughput by optimally distributing workload 28

29 Easy Tier Automatic Mode Setup Options for configuring extent pools for Automatic Mode Create new extent pool with any two tiers of disk Merge two existing tiers of disk extent pools Add SSD rank to existing HDD extent pool Add HDD rank to existing SSD extent pool if no space efficient capacity (virtual capacity or repository) configured in the extent pool Options for configure logical volumes for Automatic Mode Create new logical volume in mixed technology extent pool Migrate standard logical volumes between homogeneous and mixed technology extent pool Merge existing homogeneous extent pool with existing logical volumes with another extent pool to create a mixed technology extent pool Existing recommendations continue Each extent pool utilize same RAID format, size and speed of HDDs 29

30 Easy Tier Automatic Mode User Interfaces Design point is for customer to not normally need or use any controls to manage Automatic Mode Easy Tier Automatic Mode Enable / disable Stops automatic mode extent migration while disabled Easy Tier Automatic Mode monitoring Collects heat data for analysis in STAT tool but does no extent migration Analysis Tools Can offload reports on extent monitoring and obtain SSD capacity planning recommendations Can engage IBM for extended analysis and consulting 30

31 Easy Tier Manual Mode Overview Easy Tier Manual Mode allows a user to perform the following actions: Volume Migration User can change a logical volume s storage technology by dynamically relocating between extent pools User can change a logical volume s extent allocation algorithm (EAM) (e.g. can re-rotate extents within the target extent pool) Extent Pool Merge User can merge two existing extent pools without moving data Consolidate extent pools with equivalent disks Merge extent pools with to create a mixed technology extent pool for Automatic Mode Rank Depopulation Storage Administrator can ask that a rank be removed from an extent pool Automatic, non-disruptive and transparent to host access, the used extents will be reallocated to other ranks in the pool and rank freed 31

32 Easy Tier Copy Services Copy services is not aware of Easy Tier data optimization Any manual volume level migrations should be performed on both the primary and secondary system In the event of a failover, data optimized as primary and secondary reflect the same data placement In Automatic Mode, relocation of extents on the primary system is not reflected at the secondary I/O workload being collected at the primary and secondary are different Normal production workloads to the primary versus write only to the secondary Easy Tier will make different optimization decisions for the different workload profiles Applies to Metro Mirror, Global Mirror and z/os Global Mirror Will take time to get to an optimized environment in the event of a failover Easy Tier will have to analyze the production workload, relearn and redistribute data based on this workload 32

33 Storage Tier Advisor Tool Volume Heat Distribution interface 33

34 DS8000 Functional Summary by Release LCUs Supported RAID5/RAID10 RMC/zGM/PTC/PAV 64K Logical Volumes 2GB FCP/FICON 73/146/300GB DDs HyperPAV HMC CIM Agent 3 rd & 4 th expansion frame SSPC Support (upgr) DS8000 M/T intermix FICON Ext Distance zhpf zgm Incremental Resync Thin Provisioning Quick init zhpf Multi-track support Easy Tier Thin Provisioning Quick Init 600GB 15K 2TB SATA Multi-GM zhpf multi-trk Easy Tier2 IO Priority Resource Groups Ease of Mgmt 16TB LUN Turbo Models 500GB FATA 4GB FCP/FICON 242x Machine Types Synergy Items 2007 SSPC Support (new) Storage Pool Striping FC Space Efficient Dynamic Volume Expansion Extended Address Volumes Variable LPAR IP v Solid State Drives 1 TB SATA Intelligent Write Cache Full Disk Encrypt Remote pair FC DS DS8800 DS8100 / DS8300 includes all functional enhancements up to R4.3 DS8700 / DS8800 include all functional enhancements up to R6.1 34

35 System z / Storage Synergy - DS8000 First to Market vs. Hitachi Systems - Examples Note: Hitachi system dates are based on a best effort to identify published claims of support, not merely licensing of IBM s specifications or vague intents to support the function someday. This is not a comprehensive list of z/os storage synergy functions. 3q06 4q06 1q07 2q07 3q07 4q07 1q08 2q08 3q08 4q08 1q09 2q09 3q09 4q09 1q10 = DS8000 support = Hitachi system support = partial Hitachi support 2q10 3q10 4q10 1q11 2q11 3q11 Space-efficient volume copy? HyperPAV Dynamic Volume Expansion 3390s? Basic HyperSwap zgm Enhanced Reader? Ext. Distance FICON Large 3390 Volumes (EAV) High Performance FICON (zhpf) High Performance FICON - multitrack SSDs identified to DFSMS Remote Pair (Preserve Mirror) FlashCopy Sub-volume tiering for z zddb (support by Innovation FDRSOS) zdac performance optimization IMS WADS enhanced performance USP V only????????

36 MIDAWs Originally Introduced by IBM on the System z9 processor Improves FICON performance Allows ECKD channel programs to read and write to many storage locations using one channel command Improves the performance of sequential I/Os using 4K data sets, especially when using extended format data sets Eliminates the extended format penalty and shrinks the small DB2 page size performance penalty. MIDAWs implemented by Media Manager Noticeable improvements for: Extended format data sets accessed through Media Manager DB2 Extended format VSAM files Benefit: Lower utilization of FICON channel, link and control unit 36

37 Improved IMS/WADS Performance IMS write-ahead data set is used for logging Example measurement: This DS8000 enhancement reduced disconnect time of WADs IOs to 0 WADS without enhancement WADS with enhancement Value Performance/Management Improved IMS/WADS response time, less manual tuning

38 High Performance FICON Introduction High Performance FICON for System z (zhpf) is a new data transfer protocol that is optionally employed for accessing data from an IBM DS8000 storage subsystem Data accessed by DB2, PDSE, VSAM, zfs and Extended Format SAM can benefit from the improved transfer technique Single track introduced with R4.1 Multi-track introduced with R4.3 zhpf may help reduce the infrastructure costs for System z I/O by efficiently utilizing I/O resources so that fewer CHPIDs, fibers, switch ports and control unit ports may be needed zhpf also compliments the System z EAV strategy for growth by increasing the I/O rate capability as the volume sizes expand vertically 38

39 High Performance FICON Highlights Maximum Application Benefit for Typical OLTP Workloads Optimize DB2 Performance. Media Manager builds a new type of Channel Program Transport Control Word (TCW) instead of Command Control Word (CCW) Use simpler protocols to encapsulate channel programs while preserving the enterprise class qualities of service of FICON Complex channel programs continue to use CCW Chains with base FICON protocols Maximum I/O rate for a channel with a simple 4KB read hit benchmark doubles with zhpf Realistic production workloads with a mix of data transfer sizes may see up to 30% savings in channel utilization. compared to FICON Sequential workloads that transfer up to a single track (for example, 12 x 4KB per I/O) may also benefit OLTP Workloads that exploit zhpf could see up to 30% improvement in DS8000 throughput. 39

40 High Performance FICON (zhpf) Improve FICON Scale, Efficiency and RAS As the data density behind a CU and device increase, scale I/O rates and bandwidth to grow with the data Significant improvements in I/O rates for OLTP Multi-track support with R4.3 Improved I/O bandwidth New ECKD commands for improved efficiency Improved first failure data capture Additional channel and CU diagnostics for MIH conditions Value Reduce the number of channels, switch ports, control unit ports and optical cables required to balance CPU MIPS with I/O capacity Reduce elapsed times (DB2, VSAM) 2X 40

41 High Performance FICON Highlights (continued) Compatibility Between Existing CCWs and New TCWs Bilingual Channel and Control Unit Ports CCWs continue to use FICON protocols TCWs use new Transport Mode Protocols DS8000 Code Structure Optimized for Simple I/O Chains No CKD operation (ECKD only) Streamlined Internal Communication Protocols (Equivalent to FCP Exchanges) Improved RAS and Workload Management Additional channel and control unit diagnostics for MIH conditions I/Os are queued in control unit when a device is reserved by another host 41

42 Link Protocol Comparison for a 4 KB Read FICON zhpf C H A N N E L OPEN EXCHANGE, PREFIX CMD & DATA READ COMMAND CMR 4K of DATA STATUS CLOSE EXCHANGE C O NT R O L U N I T C H A N N E L OPEN EXCHANGE, send a Transport Command IU 4K OF DATA Send Transport Response IU CLOSE EXCHANGE C O N T R O L U N I T zhpf provides a much simpler link protocol than FICON zhpf requires System z10 processor or higher 42

43 Backup System/Restore for System z (zcdp for DB2) Application based continuous data protection for DB2 on System z Joint solution between DFSMS, DB2 and DS8000 Solution based on Point-in-Time (PIT) backups combined with DB2 logging Eliminates the need for DB2 Log Suspend Only object level creates, extends, renames and deletes are suspended Hundreds of volumes backed up in a matter of minutes Managed tape copies created from PIO copies Recovery at the System or Tablespace level 43

44 SMS Enhancements to Support zcdp New copy pool SMS construct Defines which storage groups should be processed collectively for fast replication functions New copy pool backup SMS storage group type Defines which volumes DFSMShsm may select as target volumes for fast replication backup versions ISMF modified to support these SMS enhancements Three new DFSMShsm Commands FRBACKUP creates a fast replication backup version for each volume in a specified copy pool FRRECOV Use fast replication to recover Entire copy pool from a disk copy Individual volume from a disk or tape copy One or more data sets from a disk or tape copy FRDELETE delete one or more unneeded fast replication backup versions DB2 utilities uses these HSM functions 44

45 z/os FICON Discovery and Auto-Configuration (zdac) DS8700 and DS8800 supports new z/os FICON Discovery and Auto- Configuration function of z/enterprise z196 Reduces the complexity in a complex FICON environment Discovery Capability to discover attached disk connected to FICON fabrics Detects new storage subsystems and new control units Proposes paths for all systems to newly discovered logical control units Auto-configuration Compares newly discovered system with target IODF and proposes new configuration to user Requires z196 and z/os

46 zdac Flow 46

47 Automaty czne Biblioteki Taśmow e

48 IBM TS3500 Tape Library L23 / L53 Frame Service frame B 1 15 D23, S24, D53 lub S54 frames Service frame A

49 Szafy o wysokiej gęstości Tier 0 (220 lub 200) Tier 1 (220 lub 200) Tier 2 (220 lub 200) Tier 3 (220 lub 200) Tier 4 (220 lub 200) Tier 5 (220) Widok z boku

50 TS3500 Szafy L23 / L53 TS3500 Szafy L23 / L53 / D23 / D53 / S54 Do 16 szaf Jednoczesna obsługa mediów / napędów: LTO4, LTO5 i 3592 Napędy wymienialne na gorąco Redundantne Zasilanie Zdalne zarządzanie poprzez przeglądarkę WWW Funkcja Call Home Architektura Multi-Path: Control Path Failover i Data Path Failover Opcja High Availability (Zdwojona robotyka) System ALMS wirtualizacja taśm i napędów Biblioteki Logiczne

51 TS3500 SC1 Shuttle connections Wiele Bibliotek

52 IBM TS ta generacja napędów 3592 model E07 Nowe taśmy Bar-Ferryt - pojemność 4 TB native capacity 250 MBps natywna prędkość zapisu funkcjonalność "fast access - kasety sformatowane do 500MB Wsparcie dla data partitioning, data encryption Zasilanie: N+1 Standby power management (23 waty) Internal data buffer 1GB Wsparcie dla Wybranych serwerów HP and Sun Microsystems Wybranych wersji Microsoft Windows Wybranych edycji Linuxa Wszystkie IBM (IBM System z10 i z196 poprzez kontroler 3592-C07)

53 3592 JC/JY/JK Media 3 nowe modele taśm: JC: 4 TB IBM Enterprise Advanced Data Tape JY: 4 TB IBM Enterprise Advanced WORM Tape JK: 500 GB IBM Enterprise Economy Data Tape Zaprojektowane do wtórnego wykorzystania w przyszłych generacjach Bez możliwości współpracy z wcześniejszymi wersjami napędów Ale kasety poprzednich generacji JB mogą być wykorzystane w 3592-E07 (dla formatu E4 pojemność wynosi 1,6 TB) Pojemność kasety JB: format E2 = 700 GB, format E3 = 1000 GB Szybkość: read / write dla kaset JC wynosi do 250 MB/s (natywnie), ok. 650 MB/s (z kompresją 3:1)

54 TS1140 Performance Write and Read Write Data Rate Performance TS1140 format JC media TS1140 Write Data Rates Write Data Rate Performance TS1140 format JB media TS1140 Write Data Rates - JB Media Data Rate (MB/s) max 3:1 2:1 1:1 Data Rate (MB/s) max 3:1 2:1 1:1 max max : : : : : : Block Size (KB) Read Data Rate Performance TS1140 format, JC media TS1140 Read Data Rates Block Size (KB) Read Data Rate Performance TS1140 format, JB media TS1140 Read Data Rates - JB Media Data Rate (MB/s) max 3:1 2:1 1:1 Data Rate (MB/s) max 3:1 2:1 1:1 max : : : max : : : Block Size (KB) Block Size (KB)

55 Wirtualne biblioteki taśmowe dla z/os IBM Virtualization Engine TS7700 ver 2.0 (od Q3/2011) Parametry klastra (2-node Grid): Do 512 wirtualnych napędów 3490 Do 2 mln wirtualnych kaset Do 28 TB netto na szybkich dyskach FC 600GB@15Krpm Do 70 TB użytkowo (jeżeli dane poddają się kompresji 2,5:1) Do 8 portów FICON Wydajność: do 1000 MB/s (3,6 TB/h) Automatyczna migracja na taśmy rzeczywiste 3592 poprzez porty FC 8 Gbps

56 Site A Hosts Site to Site Distance Site B Hosts Director Channel Extender WAN Channel Extender Director WAN 4Gbps FICON DWDM DWDM 4Gbps FICON 3592-C07 TS7740 1GbE Links Switch Switch Direct LAN Switch Switch 1GbE Links TS C07 8 Gbps FC 8 Gbps FC TS3500 / TS1140 TS3500 / TS1140

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