Joint Optimization of Energy Conservation and Migration Cost for Complex Systems in Edge Computing

Xu, Xiaolong; Xue, Yuan; Cui, Mengmeng; Yuan, Yuan; Qi, Lianyong

doi:10.1155/2019/6180135

Cited by 4 publications

(2 citation statements)

References 38 publications

(57 reference statements)

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“…e formula is obtained by simply modifying the algorithm. Furthermore, although in practical systems, the transmission interval is usually divided into time slots, and information is transmitted in the form of data packets, if the duration of the time slot is small enough, and a transmission interval can contain multiple time slots, the data transmitted in the form of data packets can be regarded as a bit stream [16]. t e multisession (Multisession) business flow model was used to describe the multipath routing of business data flow through the network.…”

Section: Scheduling Modelmentioning

confidence: 99%

Machine Translation of Scheduling Joint Optimization Algorithm in Japanese Passive Statistics

Liu

2022

Scientific Programming

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Machine translation is different from written translation. How to improve the performance of machine translation has been a research hotspot in current research on machine translation. In this paper, based on the semantic analysis and research of Japanese passive, a joint optimization algorithm of scheduling has been proposed, and the machine translation of Japanese passive has been studied. At present, machine translation is more and more widely used. Machine translation has solved many vocabulary problems, and it can complete a large amount of translation work and save a lot of manual translation time. While improving the translation speed, in the process of Japanese passive translation, it is also found that direct machine translation shows many shortcomings, and the quality of passive translation is not particularly ideal, exposing the basic problems of machine translation, such as semantic errors, syntactic errors, unclear and rigid expressions, and messy structures. In response to the problems above, this paper has improved the machine translation model for scheduling joint optimization algorithms. The paper has proposed several optimization algorithms and used resource awareness and computing power scheduling algorithms to conduct experimental analysis of translation performance. Finally, it is found that, among the two scheduling optimization algorithms, the resource-aware scheduling algorithm has better performance. With the same data, the resource-aware scheduling algorithm has saved 15.5% of the time compared with the computing power scheduling algorithm, and the accuracy of Japanese passive translation was 6%, 5%, and 21% higher than the computing power scheduling algorithm under different data volumes. Not only has the time taken been shortened, but the translation accuracy has also been improved.

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Section: Scheduling Modelmentioning

confidence: 99%

Machine Translation of Scheduling Joint Optimization Algorithm in Japanese Passive Statistics

Liu

2022

Scientific Programming

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“…A specific commercial pump model, which has four main blades and four splitter, head at 16 m, flow rate of 12.5 m 3 /h, and running at a speed of 2900 rpm, was carefully chosen for the paper. e pump is mainly composed of long straight pipes, as shown in [27].…”

Section: Centrifugal Pump Modelmentioning

confidence: 99%

Numerical Simulation and Computational Flow Characterization Analyses of Centrifugal Pump Operating as Turbine

Chang

Adu

et al. 2021

Complexity

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Using a pump in reverse mode as a hydraulic turbine remains an alternative for hydropower generation in meeting energy needs, especially for the provision of electricity to remote and rural settlements. The primary challenge with small hydroelectric systems is attributed to the high price of smaller size hydraulic turbines. A specific commercial pump model, with a flow rate of 12.5 m3/h, head 32 m, pressure side diameter of 50 mm, impeller out, and inlet diameters of 160 mm and 6 mm, respectively, was chosen for this research. This research aimed to investigate a pump’s flow characteristics as a turbine to help select a suitable pump to be used as a turbine for micro- or small hydropower construction. Numerical methodologies have been adopted to contribute to the thoughtful knowledge of pressure and velocity distribution in the pump turbine performance. In this study, the unsteady flow relations amongst the rotating impeller and stationary volute of the centrifugal pump made up four blades and four splitters. Intermittent simulation results of pressure and velocity flow characteristics were studied considering diverse impeller suction angles. The study was conducted by considering a wide range of rotational speeds starting from 750 rpm to 3250 rpm. From the results, it was found that PAT operation was improved when operated at low speeds compared to high-speed operation. Thus, speeds between 1500 rpm and 2000 rpm were suitable for PAT performance. This research helps to realize the unsteady flow physiognomies, which provide information for future research on PAT. This study makes useful facts available which could be helpful for the pump turbine development. Future studies should focus on cost analysis and emission generation in energy generation.

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Parameter Investigation Study On Task Scheduling in Cloud Computing

Kumar,

Karri

2023

2023 12th International Conference on Advanced Computing (ICoAC)

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Joint Optimization of Energy Conservation and Migration Cost for Complex Systems in Edge Computing

Cited by 4 publications

References 38 publications

Machine Translation of Scheduling Joint Optimization Algorithm in Japanese Passive Statistics

Machine Translation of Scheduling Joint Optimization Algorithm in Japanese Passive Statistics

Numerical Simulation and Computational Flow Characterization Analyses of Centrifugal Pump Operating as Turbine

Parameter Investigation Study On Task Scheduling in Cloud Computing

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