Yes, a scheduling algorithm can be designed to maximize throughput, which refers to the number of tasks completed in a given time period. Such algorithms prioritize task execution based on factors like resource availability, task priority, and execution time, aiming to minimize idle time and maximize resource utilization. Examples include Shortest Job First (SJF) and Round Robin scheduling. However, achieving maximum throughput may require trade-offs, such as increased waiting times for some tasks.

11 Mbps

1 Gbps

132 Mb/sec

45 Mb/s

T1 line

1.5 Mbps

www.intelletrace.com

d. 802.11n

802.11n.

16 Mbps

Depend of MCU clock divisor! Check datasheet.

People often confuse bandwidth and throughput. 802.11a and 802.11g are the two common standards that have a maximum bandwidth of 54Mbps. The actual maximum throughput you will see on a 54Mbps link will be 20-25Mbps.

ADSL

CAT5 or if nessecary CAT6 Twisted pair...

T3

CPU Scheduling Criteria:

There are many scheduling algorithms and various criteria to judge their performance. Different algorithms may favor different types of processes. Some criteria are. as follows:

• CPU utilization: CPU must be as busy as possible in performing different tasks. CPU utilization is more important in real-time system and multi-programmed systems.

• Throughput: The number of processes executed in a specified time period is called throughput. The throughput increases .for short processes. It decreases if the size of processes is huge.

• Turnaround Time: The amount of time that is needed to execute a process is called turnaround time. It is the actual job time plus the waiting time.

• Waiting Time: The amount of time the process has waited is called waiting time. It is the turnaround time minus actual job time.

• Response Time: The amount of time between a request is Submitted and the first response is produced is called response time.

A CPU scheduling algorithm should try to maximize the following:

• CPU utilization

• Throughput

A CPU scheduling algorithm should try to minimize the following:

• Turnaround time

• Waiting time

• Response time

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TFTP can transfer a maximum of 512 bytes per client server round trip with its stop and wait protocol.

Maximum throughput of TFTP = 512 bytes/ round trip time(client-server)

We assume for the Ethernet, the Round trip time = 3 ms

The maximum throughput is around 170,000 bytes/sec

Bandwidth refers to the maximum data transfer capacity of a network connection, while throughput is the actual amount of data transmitted over that connection in a given time period. Generally, higher bandwidth can lead to higher throughput, but factors like network congestion, latency, and protocol overhead can affect this relationship. Therefore, while bandwidth sets the potential upper limit for throughput, real-world conditions often result in throughput being lower than the available bandwidth.

Bandwidth is the measure of range or band of frequencies that a channel or path can handle at a maximum rate.

whereas, throughput is the average rate of successful message delivery over a communication channel.

and Goodput is simply the changing in throughput rate.

The term "throughput" is sometimes used interchangeably with "bandwidth." While bandwidth refers to the maximum data transfer capacity of a network, throughput refers to the actual amount of data successfully transmitted over that network in a given time frame. Both terms are related to data transmission, but they highlight different aspects of network performance.

There are certain factors that affect the power optimization of a device and design engineers should consider these factors before designing a solution. Some of the factors are: Minimum supply voltage.  Maximum efficient voltage.  Maximum power dissipation.  Maximum switching frequency.  Maximum line frequency.  Minimum input and output capacitance.  Maximum output and forward transfer capacitance.  Power supply rejection ratio.   You can learn more about these factors here.

Some of the important factors to consider when designing the Solution for Power Optimization with SAS Powertech are: What is the throughput of the application, if the throughput is high, then the number of concurrent users while running the application will also increase. To find the throughput, calculate the amount of data that has to be processed per second. If the data is really large, then the size of the application might get larger and this will also increase the throughput.

What determines the theoretical throughput of a bus

802.11b Wireless networks support a maximum throughput of 11Mbps (megabits per second). From a practical standpoint, the average throughput will probably be closer to 5Mbps.

The maximum throughput of pure ALOHA is approximately 18.4%. This means that, under ideal conditions, only about 18.4% of the time slots can be successfully used for transmission without collisions. This low efficiency is largely due to the random nature of packet transmissions, which increases the likelihood of collisions. In contrast, slotted ALOHA improves this to about 36.8% by organizing time into discrete slots.

(No. of met / No. of total count) * 100= Throughput

Throughput in Oil & gas industry

Clustering scheduling is a method used in distributed computing and data processing to optimize the allocation of tasks across a group of interconnected servers or nodes. It involves grouping similar tasks or workloads together and scheduling them on nodes that can efficiently handle them, reducing latency and improving resource utilization. This approach can lead to better performance, load balancing, and increased throughput by minimizing data transfer and maximizing computational efficiency. Clustering scheduling is commonly applied in cloud computing, big data processing, and high-performance computing environments.

Cluster scheduling refers to the process of allocating resources and scheduling tasks across a group of interconnected computers or nodes, known as a cluster. This approach optimizes resource utilization, workload distribution, and job execution efficiency by managing how tasks are assigned and executed across multiple machines. It is commonly used in high-performance computing, data processing, and cloud environments to enhance performance and reduce latency. Effective cluster scheduling ensures that jobs are completed in a timely manner while maximizing the cluster's overall throughput.

Throughput refers to the amount of product or work completed in a given time period, indicating how efficiently a process operates. Takt time, on the other hand, is the available production time divided by customer demand, representing the maximum allowable time to produce one unit to meet demand. While throughput measures output, takt time sets the pace for production to ensure customer needs are met on time. Essentially, throughput focuses on actual performance, while takt time serves as a target for production efficiency.

In asymmetrical communication, downstream throughput is higher than upstream throughput.

The levels of multiprogramming directly impact the need for disk scheduling because higher multiprogramming levels lead to increased disk I/O operations as multiple processes compete for disk access. With more processes in memory, the likelihood of disk requests overlapping rises, necessitating efficient disk scheduling algorithms to minimize wait times and optimize throughput. Effective disk scheduling becomes critical in balancing the needs of processes, reducing latency, and ensuring fair access to disk resources. Conversely, lower levels of multiprogramming may reduce the contention for disk access, potentially simplifying scheduling requirements.

Theoretical maximum throughput: SATA II: 3Gb per second. SATA III: 6Gb per second. The maximum uncoded transfer rates are 2.4 Gb per second and 4.8Gb per second, respectively.

Stream scheduling offers several advantages, including improved resource utilization by efficiently allocating system resources to multiple tasks or data streams concurrently. It enhances responsiveness and throughput in applications, particularly in real-time systems where timely processing is crucial. Additionally, stream scheduling can reduce latency by prioritizing critical data streams, ensuring that high-priority tasks are completed swiftly. Overall, it enables smoother operation and better performance in environments handling continuous data flows.

The max distance of a 802.11n router is approximately 100 feet. This distance is usually considerably shorter in most homes due to interference.

Full duplex has the highest throughput concering communication.

The throughput of a gigabit network connection can vary somewhat based on things such as the speed of the CPU, however, the average throughput is around 300Mb/s. The symbol for giga is G.

The disadvantages of throughput accounting is that it is very costly. The system might require the retraining of the staff which is a costly exercise.

a static ip does not have any effect on throughput it simply mean your ip address will not change

No, maximising throughput does not necessarily mean maximising turnaround time.

Throughput is a measure of how many operations can be performed in a period of time. Turnaround is a measure of how long it takes to perform an operation.

If you optimize latency and/or overhead, you can increase throughput and decrease turnaround time.

On the other hand, if you create parallel processing, you can increase throughput without decreasing turnaround.

The relationship between layout capacity and scheduling is integral to optimizing production efficiency. Layout capacity refers to the maximum output achievable given the physical arrangement of resources and equipment, while scheduling involves planning the timing and sequence of operations to meet production goals. An effective layout enhances capacity by minimizing bottlenecks and reducing travel time, which in turn allows for more efficient scheduling. Thus, a well-designed layout supports better scheduling decisions, leading to improved overall productivity.

MVT (Multi-Variable Task) job scheduling is a technique used in operating systems to manage and allocate resources for multiple tasks or processes efficiently. It allows the system to handle varying job sizes and types by dynamically partitioning memory and allocating CPU time based on priority and resource requirements. MVT enhances system responsiveness and throughput by optimizing the execution of jobs in a time-sharing environment. This scheduling method is particularly effective for systems that need to balance multiple user requests and applications simultaneously.

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The disadvantages of throughput accounting is that it is very costly. The system might require the retraining of the staff which is a costly exercise.

Response time and throughput in a system are inversely related. As response time decreases, throughput typically increases, and vice versa. This means that as the system processes tasks more quickly (lower response time), it can handle more tasks in a given time period (higher throughput).

How meany classification of fire extinguishers are there

i do no...............

A variant of round robin scheduling is called selfish round robin scheduling. In selfish round robin, there is a maximum limit on the number of processes that can be placed in the round-robin queue (including the process being executed by the CPU). After that maximum is reached, newly entering processes are placed on a holding queue. Processes in the holding queue do not get any time slice of the CPU. When a process in the round-robin queue completes and leaves the system, the oldest process in the holding queue is allowed to enter the round-robin queue

PCIe Version 1.1 and PCIe Version 1 have the same throughput.