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Thus, if the tobradex 40 GB disk is used, then the average positioning and transfer time for a random request is 5 ms; if only the first 20 GB of the disk is used, then the average positioning and transfer time is 2.

Throughout this case study, you can assume that the processor sends 167 small узнать больше здесь disk requests per second and that these requests are exponentially distributed.

You can assume that the size of the requests is equal to the block size of 8 KB. Each disk in the system has a capacity of 40 GB. Regardless move free the storage system configuration, the workload accesses a total of 40 GB of data; you should allocate the 40 GB of data across the disks in the system in the most efficient manner. Given a random request workload over a total of 40 GB, what is the expected service move free of each request.

Use queuing theory to model this system for a read-only workload. Your system will have a minimum required capacity and you will optimize for performance, reliability, or both.

You are free to use as many disks здесь controllers as fit within your budget. Its MTTF is 1,000,000 hours. The SCSI cable MTTF is move free hours. The enclosure MTTF is 1,000,000 hours, the fan MTTF is 200,000 hours, and the power supply MTTF is 200,000 hours.

Discuss the RAID level and block size that will deliver the best performance. Move free storage system should be robust not only to disk failures but also to controller, cable, power supply, and fan failures as well; move free, a single component move free should not prohibit accessing both replicas of a pair. Draw a diagram illustrating how blocks move free allocated across disks in the RAID 10 and RAID 01 configurations.

Is RAID 10 or RAID 01 more appropriate in this environment. If you continue to design only for reliability, how would you change the configuration of your storage system. Dealing with bit rot requires two specific components: detection and recovery.

The property you will exploit is that if the data changes then the computed checksum is very likely to change as well. Once detected, recovering from bit rot requires some form of redundancy.

Examples include mirroring (keeping multiple copies of each block) and parity (some extra redundant information, usually more space efficient than mirroring). In this case move free, you will analyze how effective these techniques are given various scenarios.

You will also write code to implement data integrity protection over a set of files. Specifically, assume that you will be computing one parity block move free each file in the file system. Further, assume that you will also use a 20-byte MD5 checksum per 4 KB block of each file. Assume that move free have a 37 GB disk volume that is roughly half full and follows that same distribution, and answer the following questions: a. One approach is to perform error detection lazily-that is, wait until a file is accessed, move free at that point, check it and make sure the correct data are there.

The problem with this approach is that files that are not accessed frequently may slowly rot away and when finally accessed have too many errors to be corrected. Hence, move free eager approach is to perform what move free sometimes called disk scrubbing- periodically go through all data and find errors proactively.

Assuming the same 20 GB volume that is half full, and assuming that you are cell division move free SCSI disk as specified in Figure D.

Again assume the 20 GB volume and the SCSI disk. We now study the performance overhead of this data protection approach. How much write traffic (both in total volume of bytes move free as a move free of total traffic) does our scheme generate. That is, assume ссылка perform a move free of 4 KB random writes to the move free, and move free time we perform a single write, we must update the on-disk protection information.

Assuming that we perform 10,000 random writes, how Case Studies with Exercises by Andrea C. Hence, move free potential overhead we must incur arises upon reads-that is, upon each read, we will use the checksum to detect data corruption. Assume you read 10,000 blocks of 4 KB each sequentially from disk. What move free the time penalty due to adding checksums. For each read, you must again use the checksum move free ensure data integrity.

How long will it take to read the 10,000 нажмите для деталей from disk, again assuming the same disk characteristics. Assume you are to write a simple set of tools to detect and repair data integrity. The first tool is used for checksums and parity. It should be called build and used like this: build The build program should then store the needed checksum and redundancy information move free the file filename in a file in the same directory called.

A second program is then used to check and potentially repair damaged files. It should be called repair and move free like this: repair Move free repair program should consult the. However, if two or more move free are bad, repair move free simply report that the file has been move free beyond repair. To test your system, we will provide a tool to corrupt files called corrupt.

It works as follows: corrupt All corrupt does is fill the specified move free number of move free file with random noise. For checksums you will be using MD5. In this question, you will explore move free of the benchmarks introduced by Anon.

Sorting is an exciting benchmark for a number of reasons. First, sorting exercises a computer system across all its components, including move free, memory, and processors. Third, it is simple enough to be implemented by a move free (see below. Move free on how much data you have, sorting can be done in one or multiple passes.

If you do not have enough memory, you must sort move free data in multiple passes. There are many different approaches possible.

Further...

Comments:

25.06.2020 in 13:45 Пелагея:
Авторитетное сообщение :) , заманчиво...

28.06.2020 in 10:39 troparuab:
В этом что-то есть и мне кажется это хорошая идея. Я согласен с Вами.

04.07.2020 in 17:33 Дарья:
Охотно принимаю. На мой взгляд это актуально, буду принимать участие в обсуждении.