(3)Caching parameters

The following parameters are used to optimize IDD Read-Ahead caching operations under the system environments. Refer to Chapter 2 "Data Buffer Management" of the SCSI Logical Interface Specifications for further details.

 

Parameter

 

Default value

• IC:

Initiator control

 

0 (Drive-specific

 

 

 

control (page

 

 

 

cache))

• RCD:

Disabling Read-Ahead caching operations

 

0 (enabled)

• WCE:

Write Cache Enable

 

1 (enabled)

• MS:

Specifying the multipliers of "minimum

 

0 (Specifying

 

prefetch" and "maximum prefetch" parameters

 

absolute value)

• DISC:

Prefetch operation after track switching during

 

1 (enable)

 

prefetching

 

 

• Number of blocks for which prefetch is suppressed

 

X'FFFF'

• Minimum prefetch

 

X'0000'

• Maximum prefetch

 

X' XXXX'

 

 

 

(1 cache segment)

• Number of blocks with maximum prefetch restrictions

 

X'FFFF'

• Number of segments

 

X'08'

Notes:

1.When Read-Ahead caching operations are disabled by the caching parameter, these parameter settings have no meaning except write cache feature.

2.Determine the parameters in consideration of how the system accesses the disk. When the access form is not determined uniquely because of the processing method, the parameters can be re-set actively.

3.For sequential access, the effective access rate can be increased by enabling Read-Ahead caching operations and Write Cache feature.

(4)Control mode parameters

The following parameters are used to control the tagged queuing and error logging.

5-22

C141-E205

Page 93 Page 95
Page 94
Image 94
Fujitsu MAU3147NC/NP, MAU3073NC/NP, MAU3036NC/NP manual Disc, Xffff, Xxxx
Page 93 Page 95

MAU3036NC/NP, MAU3147NC/NP, MAU3073NC/NP specifications

The Fujitsu MAU3036NC/NP, MAU3147NC/NP, and MAU3073NC/NP are advanced models designed to offer high performance and reliability in various computing environments. These models are particularly notable for their optimized efficiency and robust feature set, making them suitable for a range of applications from enterprise servers to high-performance computing.

One of the standout features of the MAU series is its reliance on cutting-edge technology that maximizes data handling capabilities. The MAU3036NC/NP boasts a formidable capacity for high-speed data processing, making it ideal for tasks requiring quick data retrieval and storage. With an optimized caching mechanism, this model enhances data throughput and reduces latency, contributing to an overall faster response time in demanding applications.

The MAU3147NC/NP introduces further advancements with its enhanced thermal management system. This ensures that the unit operates at optimal temperatures, reducing the risk of overheating and prolonging the lifespan of the hardware. Additionally, this model implements advanced error-correcting code (ECC) memory, which significantly improves reliability by detecting and correcting internal data corruption, a crucial feature in mission-critical environments.

Meanwhile, the MAU3073NC/NP excels in terms of scalability. Its architecture allows for easy upgrades and expansions, accommodating growing data needs without significant downtime. This flexibility is essential for businesses looking to future-proof their operations and adapt to changing demands seamlessly.

All three models incorporate Fujitsu's innovative energy-efficient technologies, which not only reduce power consumption but also align with global sustainability goals. The intelligent power management systems make these units not only cost-effective but also environmentally friendly, demonstrating Fujitsu's commitment to responsible manufacturing.

Furthermore, robust connectivity options, including multiple interface support, make these models easily integrable into existing IT infrastructures. They are compatible with a variety of operating systems and software, ensuring that users can leverage their full potential regardless of their specific setup.

In summary, the Fujitsu MAU3036NC/NP, MAU3147NC/NP, and MAU3073NC/NP series exemplify the blend of performance, reliability, and efficiency. With features tailored to meet the evolving needs of modern businesses, these models stand out in the competitive landscape of computing solutions, ensuring that users can address both current and future challenges in data management and processing.
Top Page Image Contents