QLogic 10000 User Manual

QLogic 10000 Series Adapter Provides Application Benets Through I/O Caching
QLogic FabricCache Caching Technology Delivers Scalable Performance to Enterprise Applications
The QLogic 10000 Series delivers scalable performance to enterprise applications and reduces the performance gap between these applications and their storage subsystems.
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KEY FINDINGS
The QLogic® FabricCache™ 10000 Series 8Gb Fibre Channel Adapter enhances application performance by optimizing random read-intensive workloads running in clustered, shared resource environments. The QLogic 10000 Series technology integrates Fibre Channel storage network connections, a ash memory interface, and embedded processing. The technology delivers scalable performance to enterprise applications and reduces the performance gap between these applications and their storage subsystems.
QLogic’s caching technology in the 10000 Series Fibre Channel Adapter delivers:
Large application acceleration with modest cache congurations:
In a single-server conguration, the adapter delivers 7.75 × the
performance over having no cache
Performance that scales directly with the server infrastructure:
In a multiserver (four or more) conguration, the adapter
delivers up to 22 × the performance over having no cache
Remotely located cache performance difference of less than 10
percent compared to cache residing locally
EXECUTIVE SUMMARY
The growing disparity between the performance of CPU-based and disk-based storage continues to grow. Applications that are Web 2.0, mission-critical, I/O intensive, virtualized, and clustered continue to put an additional burden on processors and slower storage, which lowers overall application performance. These increased performance demands on the enterprise data center require application performance improvements using innovative solutions that can scale across the enterprise infrastructure.
The QLogic 10000 Series Adapter technology delivers a unique solution optimized to address the growing performance gap between what the processor can compute and what the storage I/O subsystem can deliver. With a simple adapter deployment model, the seamless approach combines enterprise SAN connectivity with shared server-based I/O caching. The QLogic 10000 Series Adapter provides dramatic and scalable performance improvements to the widest range of enterprise applications.
This white paper provides an overview of the application performance capability of the QLogic 10000 Series Adapter. A query workload from the Transaction Processing Performance Council (TPC) Benchmark™ E (TPC-E) was used to generate database queries. TPC, an online transaction processing (OLTP) workload, provides real-world, I/O­intensive transactions that simulate activities found in complex database application environments. The QLogic 10000 Series meets the application performance challenge and accelerates performance across the entire enterprise.
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PROBLEM AND RESOLUTION
Increased server performance, higher virtual machine (VM) density, advances in network bandwidth, and more demanding business application workloads create a critical I/O performance imbalance between servers, networks, and storage subsystems. Storage I/O is the primary performance bottleneck for most virtualized and data-intensive applications.
As application workloads and VM densities increase, so does the pressure on these potential hotspots and the time required to access critical application information. Slower storage response times result in lower application performance, lost productivity, more frequent service disruptions, reduced customer satisfaction, and, ultimately, a loss of competitive advantage.
A new class of server-side storage acceleration is the latest innovation in the market addressing this performance disparity. The idea is simple: fast, reliable, solid-state Flash memory connected to the server brings faster data access to the server’s CPU. Flash memory is highly available in the market and promises to perform much faster than any rotational disk under typical small, highly random, I/O enterprise workloads.
The QLogic 10000 Series Fibre Channel Adapter from QLogic shows increased transaction throughput from 7 to 22times with OLTP database workloads, while reducing application latency query (as measured with TPC-E benchmarks). The 10000 Series Adapter is a PCIe-based I/O device that provides integrated storage network (Fibre Channel) connectivity, I/O caching technology, integrated ash memory, and the embedded processing required to make management and caching tasks transparent to the host server. The QLogic solution delivers the application performance acceleration benets of server-based cache without the limitations of solutions that require separate, server-based storage management software and operating system (OS) lter drivers.
The key benets identied in this paper are the improvements by the QLogic 10000 Series Adapter on the overall OLTP performance in transactions per second (TPS). These improvements provide real-world objective performance data to enterprise users. The primary objectives are to optimize performance, maximize transactions, and increase the value of the existing infrastructure, thereby reducing the costs of server, management, and overall infrastructure.
Moderate system and application execution time
A balanced mixture of disk I/O and processor usage
SINGLE-SERVER QLOGIC 10000 SERIES ADAPTER DELIVERS
7.75 × PERFORMANCE
The single-server test setup shown in Figure 1 was congured with an Intel® Xeon® Server connected to an HP® Enterprise Virtual Array (EVA) storage array, through the QLogic 10000 Series Adapter and the QLogic 5800V/5802V Fibre Channel Switch. Benchmark Factory® for Databases TPC-E runs were executed with cache levels varying in size from 0to 100percent of the actual SQL database size.
Figure 1. Single-Server Database Query Setup
Figure2 shows how performance improvements are directly related to caching the application data closer to the server processor. The range indicated by “1A” shows a signicant application performance available with small congurations: 3 × TPS at just 20percent cache size. The range indicated by “1B” shows a large application acceleration available with modest cache congurations: 7.75 × TPS at 30percent cache size.
DATABASE WORKLOAD QUERIES WITH TPC-E
TPC-E, an OLTP workload, provides a mixture of read-only and update­intensive transactions that simulate the activities found in complex OLTP application environments. TPC-E queries were used without publishing any ofcial TPC-E benchmark results. The queries exercises a wide range of system components associated with such environments, which are characterized by these attributes:
Simultaneous execution of multiple transaction types that span a
breadth of complexity
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Figure 2: Single-Server Query TPS
MULTISERVER (4) QLOGIC 10000 SERIES ADAPTER DELIVERS 22 × PERFORMANCE
The four-server test setup shown in Figure3 was congured with four Intel Xeon Servers connected to an HP EVA storage array through four QLogic 10000 Series Adapters and a QLogic 5800V/5802V Fibre Channel Switch. TPC workload queries were executed in parallel with cache levels varying in size from 0 to 100 percent of the SQL database size. The simultaneous runs emulate a clustered application scenario, where numerous servers are running I/O trafc to a single array.
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Figure 3. Multiple Server Database Query Setup
Figure 4 shows that in a four-server conguration, there is clearly a very large aggregated TPS acceleration that is achieved with relatively modest cache sizing. The range indicated by “2A” shows a signicant application performance increase with small congurations: 3.5 × TPS at just 20percent cache sized. The range indicated by “2B” shows that a large application acceleration performance is available with modest cache congurations and multiple servers: 22 × TPS at 30percent cache size.
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Figure 4: Four Server Database Query TPS
LOCAL CACHE VERSUS REMOTE CACHE EFFICIENCY OF QLOGIC 10000 SERIES ADAPTER REMOTE ACCESS
Figure5 identies the conguration testing the latency difference of local versus remote cache (where a LUN cache is located in a 10000 Series Adapter residing on another server). Test conclusions showed a nine percent performance impact of slightly increased latency between local versus remote database queries.
Figure 5: Local Versus Remote Test Conguration
As shown in Figure6, the performance benchmark measured 0percent cache against 30percent local caching, and the test repeated with the operation of caching at 30percent in the remote conguration. No signicant difference was perceived between local cache access and remote cache access.
Figure 6: Local Versus Remote Cache Efciency
TEST HARDWARE AND SOFTWARE
Table1 lists the hardware and Table2 lists the software used for database workload queries.
Table 1. Hardware Used for Exchange Query
Hardware Description
Dual 6-core Intel Xeon CPU
Host Server
Host Bus Adapter
Quantity of Host Bus Adapters per Host
Fabric Switch
Storage Array HP EVA 6300
Drive Speed 10K
Quantity of Drives on Array 24
LUN Size 100GB × 7
RAID Type RAID 5
E5-2640 at 2.50GHz, 24logical
processors, 32GB RAM
QLogic FabricCache 10000 Series
8Gb Fibre Channel Adapter
1
QLogic 5800V/5802V 8Gbps Fibre
Channel Switch
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Table 2. Software Used for Exchange Query
Software Description
Operating System
I/O Load Generation Tool
Workload Generator TPC-E
Database Type Microsoft SQL Server
Database Size 200GB
Database LUN Size 1,000GB
Log LUN Size 500GB
Microsoft® Windows Server®
2008 R2
Benchmark Factory for Databases
version 6.8
SUMMARY AND CONCLUSION
With the introduction of the FabricCache 10000 Series 8Gb Fibre Channel Adapter, QLogic continues to be the industry leader in delivering high­performance I/O solutions to the data center and in solving enterprise customer requirements.
Key performance ndings using the QLogic 10000 Series Adapter with database applications:
Performance gains are available to non-clustered applications—up to
7.75 × performance in a single-server conguration.
Large performance gains are available for clustered applications—up to
22 × performance in a four-server conguration.
The QLogic 10000 Series Adapter enables system performance to scale
with server infrastructure. Storage performance scales with server compute and memory capacity.
The QLogic 10000 Series Adapter provides efcient, remote access
support—less than 10 percent decrease between local congurations and remote congurations.
Today’s virtualized and distributed workloads across the data center demand faster I/O access. Existing solutions do not address the added dimension of multiple servers acting together to run complex business­critical applications, such as data warehousing, customer relationship management (CRM), OLTP, enterprise resource planning (ERP), e-mail servers, Web servers, reporting, analytics, nancial trading applications, and cluster applications: Oracle® Real Application Clusters (RAC) and IBM® DB2® pureScale®. Increased server performance, higher VM density, advances in network bandwidth, and more demanding business application workloads create a critical I/O performance imbalance between servers, networks, and storage subsystems servicing these environments.
The QLogic 10000 Series 8Gb Fibre Channel Adapter provides best-in­class features and an unprecedented level of high performance, superior scalability, and enhanced reliability. The unique caching solution of the QLogic 10000 Series Adapter increases the server performance needed to meet the escalating requirements of enterprise-class users. Performance­hungry, response-time-sensitive applications demand increased transactions and decreased response times. By locating application data closer to the server CPU with the QLogic 10000 Series Adapter, the server delivers lower latency for improved response times, as well as higher throughput to feed those hungry servers.
The QLogic FabricCache 10000 Series Fibre Channel Adapter bridges the transaction-based I/O performance gap and meets application performance challenges by delivering scalable performance to enterprise applications.
DISCLAIMER
Reasonable efforts have been made to ensure the validity and accuracy of these performance tests. QLogic Corporation is not liable for any error in this published white paper or the results thereof. Variation in results may be a result of change in conguration or in the environment. QLogic specically disclaims any warranty, expressed or implied, relating to the test results and their accuracy, analysis, completeness or quality.
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© 2014 QLogic Corporation. Specications are subject to change without notice. All rights reserved worldwide. QLogic, the QLogic logo, and FabricCache are trademarks or registered trademarks of QLogic Corporation. Benchmark Factory is a registered trademark of Quest Software, Inc. HP is a registered trademark of Hewlett-Packard Company. IBM, DB2, and pureScale are registered trademarks of International Business Machines Corporation. Intel is a registered trademark of Intel Corporation. Microsoft and Windows are registered trademarks of Microsoft Corporation. Oracle is a registered trademark of Oracle Corporation. Xeon is a registered trademark of Intel Corporation. All other brand and product names are trademarks or registered trademarks of their respective owners. Information supplied by QLogic Corporation is believed to be accurate and reliable. QLogic Corporation assumes no responsibility for any errors in this document. QLogic Corporation reserves the right, without notice, to make changes in product design or specications.
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