Introduction
One can also easily see that no other component follows this growth rate.
Memory, RAM and storage are getting cheaper. However, what is not happening is that the performance of the access time and decrease resp. increasing at an exponential pace. Considering the technology of magnetic disk specifically we see that disk density has been improving by about 50% per year, almost quadrupling in three years. Access time has only improved by one-third in 10 years.
Super fast processors and huge memories have to be ‘fed’ and a system is only as fast as it’s slowest component, currently the disk.
In our analysis we shall consider the advantages and disadvantages of currently available technologies and their impact on system
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ThreadMark). Each have their strength and weaknesses, and it often works well to run both types.
Real-world benchmarks may be as simple as timing how long it takes to copy a file, or they may involve executing complex scripts that perform functions in many different applications. The main advantage of these benchmarks is they measure performance using real applications. this same advantage can also be a limitation, since the performance of one component may be artificially limited by another. For example, we may be interested in disk performance, but a slow video accelerator will slow down a benchmark that has a high proportion of video content. This in turn could affect the workload presented to the disk drives.
Why Benchmark results may not be what we expect
•Mechanical Latencies
The single largest contributor to low performance is the disk drive mechanical overhead. The mechanical overhead consists of drive head seeks and rotational latencies. Rotational latency is the time it takes for a sector on the disk media to rotate to the point under the read/write head. It is inversely proportional to the rotational speed of the disk : the faster the disk spins, the shorter the rotational latency.
•Software and Firmware Overheads
Software overhead is the time it takes for commands to be passed through the operating system and software drivers. Firmware overhead relates to the time it takes for the host adapter and disk drive to process
Cache memory is the fastest memory outside of the CPU, runs at 10-30 ns per access.
In RAID 3 the disks spin in sync where all the read write operations are done with high performance.
In RTOS the system have to be multitasking and preemptable because those two features make the RTOS Scheduler end any lower priority task to execute the higher ones or to release some resources for other tasks that urgently need those resources. Also the system have to handle different level of priorities of interrupts.(Yerraballi,R. 2000)
Since the invention of the first computer, engineers have been conceptualizing and implementing ways to optimize system performance. The last 25 years have seen a rapid evolution of many of these concepts, particularly cache memory, virtual memory, pipelining, and reduced set instruction computing (RISC). Individual each one of these concepts has helped to increase speed and efficiency thus enhancing overall system performance. Most systems today make use of many, if not all of these concepts. Arguments can be made to support the importance of any one of these concepts over one
With time, the PC continued to evolve and newer models offered better speed, color screens, more memory and larger hard drives. Further technical evolution continued to deliver higher speeds, larger storage capacity both internal and external. In addition to the hardware progression, the PC world continued to see progress with operating system solutions and advanced software catering to both large and small businesses as well as the home owner.
Be that as it may, Benchmarking ones courses of action is more than a "site visit to observe around" and ought to be organized in such a route as to convey unmistakable results. Furthermore, group based methodologies to Benchmarking are more compelling, as it takes into consideration clearer recognizable proof of what is to be the motivation behind the Benchmarking action and more noteworthy imparting of adapting as an
Magnetic storage Hard Drive (HDD) is the densest and the slowest storage element in the memory hierarchy as it provides terabytes (Tb) of memory at very low cost at the expense of very long access latencies with regarding to a random access operation [1]. NAND flash is the solid-state counterpart of the magnetic HDD with three order of magnitude higher access speeds. It is the highest density memory [15], and is commonly used in high-speed disk systems [16].
There is a great deal of confusion surrounding the concept of Latency. This is not surprising as it is really many different concepts discussed as if they were one. Latency impacts on all areas of the enterprise including, networks, servers, disk systems, applications, databases and browsers. This article describes the different areas in which Latency occurs and how to differentiate between them. Such differentiation will improve the accuracy of all testing and troubleshooting, whether manual or automated.
Secondary storage is a very significant component of a computer’s operating environment. It provides an important large storage space that can permanently hold systems software and any other desired user data. Secondary storage can also be utilized as a backup to ensure that the computer system is reliable and that data carried is safe. In addition, secondary storage also known as the Disk system supports the operations of the main memory. Therefore, we can say that the optimal performance of the disk is crucial since it affects the overall operation of the system (Silberschatz, Galvin and Gagne). To be able to read or write a sector of the disk, the disk arm needs to first and foremost search for targeted track. This, if not optimized, the time required to complete the search also referred to as the seek time, will be far much higher than anticipated. This time also depends on the distance between the position of the current read/write and the location of track that is required. On touching the track, the rotation of the occurs so as to ensure that the desired sector is under read/write. This time is referred to as the rotation time and is usually known in advance.
In organizations of any size and every industry, application performance is a major driver when it comes to productivity, efficiency, and growth. Getting hit with frequent slowdowns and bottlenecks can have a ripple effect across an entire company, and may take up significant IT time through troubleshooting and fixes.
Double the RAM and ROM of the past period notwithstanding expandable memory by Micro SD for swap and limit in FAT or EXT means smooth operation with piles of data.
overall reduction in the speed at which data in the memory device is accessed by the
shockingly, that measure of RAM isn 't sufficient to run the greater part of the endeavours that all clients plan to run especially.
Software optimization is process of changing a software system to enable some aspect of the process to work more efficiently using less memory storage and less power.
The major dificulty encountered due to extensive use of parallelism is the existence of branch instructions in the set of instructions presented to the processor for execution: both conditional and unconditional branch instructions in the pipeline. If the instructions under execution in the pipeline does not bring any change in the control flow of the program, then there is no problem at all. However, when the branch instruction puts the program under execution to undergo a change in the flow of control, the situation becomes a topic of concern as the branch instruction breaks the sequential flow of control, leading to a situation what is called pipeline stall and levying heavy penalties on processing in the form of execution delays, breaks in the program flow and overall performance drop. Changes in the control flow affects the processor performance because many processor cycles must be wasted in ushing the pipeline already loaded with instructions from wrong locations and again reading-in the new set of instructions from right address. It is well known that in a highly parallel computer system, branch instructions can break the smooth flow of instruction fetching, decoding and execution. This results in delay, because the instruction issuing must often wait until the actual branch outcome is known. To make things worse, the deeper the pipelining, more is the delay, and thus greater is the performance loss.