In Round-Robin Scheduling, the quantum time is static and tasks are scheduled such that no process uses CPU time more than one slice time each cycle. If quantum time is too large, the response time of the processes will not be tolerated in an interactive environment. If quantum the time is too small, unnecessary frequent context switch may occur. Consequently, overheads result in fewer throughputs. In this study, we propose a priority multi queues algorithm with dynamic quantum time. The algorithm uses multi queues with different quantum times for the processes. The quantum times for the processes are depending on the priorities which in turn depending on the burst times of the processes. The proposed algorithm has been compared with varying time quantum algorithm which already exist to improve the original round robin algorithm. With proposed algorithm, the simple Round-Robin algorithm has been improved by about 35%. By controlling quantum time, we experience fewer context switches and shorter waiting and turnaround times, thereby obtaining higher throughput.
Bluetooth uses 2.4 GHz in ISM (industrial, scientific, and medical) band, which it shares with other wireless operating system technologies like ZigBee and WLAN. The Bluetooth core design comprises a low-energy version of a low-rate wireless personal area network and supports point-to-point or point-to-multipoint connections. The aim of the study is to develop a Bluetooth mesh flooding and to estimate packet delivery ratio in wireless sensor networks to model asynchronous transmissions including a visual representation of a mesh network, node-related statistics, and a packet delivery ratio (PDR). This work provides a platform for Bluetooth networking by analyzing the flooding of the network layers and configuring the architecture of a multi-node Bluetooth mesh. Five simulation scenarios have been presented to evaluate the network flooding performance. These scenarios have been performed over an area of 200×200 meters including 81 randomly distributed nodes including different Relay/End node configurations and source-destination linking between nodes. The results indicate that the proposed approach can create a pathway between the source node and destination node within a mesh network of randomly distributed End and Relay nodes using MATLAB environment. The results include probability calculation of getting a linking between two nodes based on Monte Carlo method, which was 88.7428 %, while the Average-hop-count linking between these nodes was 8. Based on the conducted survey, this is the first study to examine and demonstrate Bluetooth mesh flooding and estimate packet delivery ratio in wireless sensor networks
Management of the processes is an essential task performed by the scheduler in an Operating System (OS). One of the important units of the OS is Central Processing Unit (CPU), which is scheduling by many algorithms of scheduling. The main purpose of these algorithms is to enhance the system's performance by increasing the utilisation of CPU, increasing the throughput of the system, reducing the turnaround and waiting times and reducing the context switches. Some of the famous scheduling algorithms are First-Come, First-Served, Shortest Job First (SJF), Round Robin (RR) and Priority Scheduling. RR scheduling algorithm is the most suitable choice for time shared system but not for soft real-time systems owing to a large turnaround time, large waiting time and high number of context switches. The choice of the quantum time in RR is the optimal solution for the problem of large turnaround and waiting time with RR. This paper proposes a new algorithm to improve the work of RR by proposing a new algorithm to improve the concept of Improved Round Robin with Varying time Quantum (IRRVQ). The proposed algorithm gave results better than IRRVQ in terms of minimising the number of context switches, average waiting time and average turnaround time.
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