<span>IoT is the succeeding cohort of the digital computing environment. A swift progression in the IoT deployment and its applications are on the rise. Improving load balancing mechanisms induces healthier performance of the internet based computing as higher number of users can be comfortable. Implementing full services for tasks with unstable concurrency is an uphill process. One of the encounters allied with this administration is the task partition among the applications, regularly referred as concurrent programs. Through load balancing not only resources are equally utilized but also concurrent job’s response time can be promoted. Therefore, in this paper the widely used load balancing algorithms are investigated and yet the proposed algorithm is introduced. Simulation is employed in order to compare the performance metrics such as mean queue length, utilization and throughput between the recommended and existing algorithms. The proposed algorithm confirms the load balancing and outperforms when processing unstable concurrent programs.</span>
<span>The standard data collection problems may involve noiseless data while on the other hand large organizations commonly experience noisy and missing data, probably concerning data collected from individuals. As noisy and missing data will be significantly worrisome for occasions of the vast data collection then the investigation of different filtering techniques for big data environment would be remarkable. A multiple regression model where big data is employed for experimenting will be presented. Approximation for datasets with noisy and missing data is also proposed. The statistical root mean squared error (RMSE) associated with correlation coefficient (COEF) will be analyzed to prove the accuracy of estimators. Finally, results predicted by massive online analysis (MOA) will be compared to those real data collected from the following different time. These theoretical predictions with noisy and missing data estimation by simulation, revealing consistency with the real data are illustrated. Deletion mechanism (DEL) outperforms with the lowest average percentage of error.</span>
<span>Image classification algorithms can categorise pixels regarding to image attributes with the pre-processing of learner’s trained samples. The precision and classification accuracy are complex to compute due to the variable size of pixels (different image width and height) and numerous characteristics of image per se. This research proposes an image classification algorithm based on regression-based pre-processing and the recognition models. The proposed algorithm focuses on an optimization of pre-processing results such as accuracy and precision. To evaluate and validate, recognition model is mapped in order to cluster the digital images which are developing the problem of a multidimensional state space. Simulation results show that compared to existing algorithms, the proposed method outperforms with the optimal number of precision and accuracy in classification as well as results higher matching percentage based upon image analytics.</span>
interest in getting the TCP protocols to work more efficiently Abstract-Nowadays the demand for high-mobility remote over long delay paths. Still, efforts are underway to enable access broadband services like satellite networks is becoming better utilization of satellite links. more popular. Therefore arise of the network congestion seems to Performance of data communication is limited by the delay be the major problems for most of network operators. TCP inherent in geostationary systems and the probability of bit (Transmission Control Protocol) is being studied in order to errors found in any wireless system, including satellite systems. provide reliable data delivery over broadband satellite These limitations are becoming more important as new satellite communications. TCP per se provides various congestion offer much higher data transmission rates than those avoidance algorithms that may be used over the satellite link. systems However, TCP may somehow have to face with some difficulties available in the past. due to the satellite transmission and propagation delay. In such Satellite telecommunications can be affected by problems network where significant losses are occurred, it is difficult for caused by propagation delay. Owing to the large distance of TCP to respond to the required throughput but in other words it the geostationary satellite from the earth, the propagation time may degrade the performance. In this paper, traffic shaping is between two stations via satellite can reach approximately 275 investigated in order to ease the problem of congestion. To shape ms. Thus, a double-hop connection would require about 550 the traffic prior to the entrance of satellite communication system, ms in one way. However under ITU-T recommendation, the the paper makes use of NoQ, Network of Queue, and then the delay should be limited to 400 ms. Thus a TCP packet and the
Backoff Algorithms Backoff time computations are widely used in order to avoid the impact on the network performance There are many previous studies involving backoff whenever the increment of offered load arises. The algorithms [1], [2] however, the behavior of backoff fluctuation of offered load will cause the congestion at concept applicable to waiting time in the queue with waiting room. Furthermore it will lead to or will be policing mechanisms is nevertheless investigated. In this close to a deadlock situation as many attempts are paper, we proposed comparisons of the performance made to relieve the busy service center. The backoff between pseudorandom backoff (PB), exponential backoff computation will help reduce the repetition of I/O (EB) and random backoff (RB) with leaky bucket cycles (required to switch task from waiting room to policing mechanism. service center) and will prevent repeated attempts to Papers study the backoff algorithms in terms of their reach of due to the congested traffic at the waiting effect on network performance as the offered load room. Backoff time computation schemes proposed in increases. However, simplification or modification of this paper are pseudorandom backoff (PB) time, backoff algorithm can lead to very different analytical exponential backoff (EB) time and random backoff results [3],[4]. Many backoff schemes have been (RB) time. In pseudorandom backoff (PB) scheme,proposed and studied. none of the computations is applicable except the queue discipline. In this paper, the FIFO and the ])Pseudorandom backoff: In pseudorandom backoff maximum queue size are preset. In exponential (PB) scheme, none of the computation is applicable but backoff (EB) scheme, each node will double the queue disciplines. They are FIFO, LIFO and priority. In backoff time interval up to the maximum backoff time this paper, the FIFO and the maximum queue size are after each attempt. On the other hand, it will decrease preset. the backoff interval time to the minimum value after a successful attempt. In random backoff (RB) scheme, 2)Exponential backoff Exponential backoff (EB) is an the delay in queue will be computed randomly, algorithm being widely used in traffic offered load. In EB, meaning that all frames are to wait in queue until next each node doubles the backoff time after each retry occurs attempt is made during for any random period of (2x) but not above the maximum value (Bmax), and time. The performance of three backoff schemes has decreases the backoff interval to the minimum value been investigated by the fluctuation of (Bmin) after a successful retry. Exponential backoff has telecommunication traffic stream (ON/OFF stream). been introduced and developed by [1],[2],[3].Simulation results indicate that EB and PB help improve performance of network depending on 3)Random backoff: Another approach is the use of the maximum waiting time in queue. Moreover, RB is random backoff technique. In order to avoid repeated found to be better regardless of QoS and especially if retry by one parti...
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