Balanced task allocation in the on‐demand computing‐based transaction processing system using social spider optimization

An electrostatic fiber manufacture method called electrospinning, displayed more attention because of its adaptability and applications in various fields. The polymer fibers named wet-electrospun (WES) are promising structure for little, adaptable optical fiber devices, for example, lasers, sensors, and waveguides. The shape of WES polymer fibers are represented with aninnate barrel shaped geometry similar to optical fibers that can be created using minimal effort and low-vitality producing procedures. The loss obtained before the heating process is 17.0 dB cm −1. Here, the loss caused by propagation in WES fibers is reduced using a versatile heat treatment approach (HTA). Also, this HTA significantly reduces the loss in the range of 8.1 dB cm −1 at a wavelength of 533 nm, as the fibers are heated over 49.8 C, which is the glass transition temperature. The propagation loss is also tested for the following 350, 400, 450, 500 nm wavelengths and shown better results. Also, heating conditions are optimized at a wavelength (533 nm) to decrease the propagation loss below 5 dB cm −1. For this calculation social spider optimization (SSO) based optimized temperature rising method is proposed. The proposed method is simulated in the MATLAB platform. Thus, the loss minimization is attributed to excess light scattering (LS) that can be reduced by reducing the propagation loss in WES PDLLA (Poly racemic blend of D, L-lactic acid units) fibers by effective heat treatment approach.

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“…The spider location or else position is indicated as x. The weight of spider z j is given in Equation (12).…”

Section: Sso Algorithmmentioning

confidence: 99%

“…11 The SSO procedure mainly depends on the socialarachnids characteristics. 12,13 There exist dual diverse creepy crawlies (search agents) namely: male as well as females. 14,15 This paper is outlined as, subdivision 2 represents the literature survey also subdivision 2.1 is the problem identification.…”

Section: Introductionmentioning

confidence: 99%

Social spider optimization based optimized heat management for wet‐electrospun polymer fiber

Nandwalkar

Pete

2020

Micro & Optical Tech Letters

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“…A unique swarm calculation, in particular, the SSO is displayed for realizing optimization assignments . The SSO procedure depends on the simulation of agreeable conduct of social‐arachnids …”

Section: Introductionmentioning

confidence: 99%

“…12 The SSO procedure depends on the simulation of agreeable conduct of social-arachnids. 13 In the introduced procedure, entities compete with a collection of insects that associate with one another dependent on the organic laws of the supportive colony. 14 The procedure thinks about dual various search agents (creepy crawlies): guys and females.…”

Section: Introductionmentioning

confidence: 99%

Optimal design of autonomous desalination with storage energy system using SSO algorithm

Ghosh

2019

Int J Energy Res

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Summary Sustainable power sources, that is, the energy produced as of hydro control, biomass, wind, geothermal, sunlight, and sea resources deliberated as innovative choice intended to create clean energy and crisp water. The majority of the nations have challenged issues proceeding freshwater and power creation, which tends to the utilization of sustainable power source‐controlled desalination frameworks. In this work expanding the clean water accessibility that satisfies the load need, Hybrid Renewable Energy Systems (HRES) on the basis of Reverse Osmosis Desalination (ROD) is structured and then displayed. HRES is getting to be well known for power applications because of advances in sustainable power sources. Here, an innovative calculation based on Social Spider Optimization (SSO) is aimed at explaining the required optimization tasks. The technique referenced is turned out to be powerful, utilizing sustainable power source framework. The proposed system is contrasted with a genuine contextual analysis in the eastern part of Iran, Canary Islands and outcomes demonstrate that it has been successfully utilized thinking about both power quality and cost. Also, the outcomes acquired by the suggested technique are very encouraging to outline the capability and strength of the introduced methodology.

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“…Scheduling in such distributed systems is not easy. In the literature, there are several scheduling techniques available,() which optimize one or more characteristic parameters such as makespan, turnaround time, reliability,() and availability. Scheduling in such environment is of two types: static scheduling and dynamic scheduling.…”

Section: Introductionmentioning

confidence: 99%

Maximizing availability for task scheduling in on‐demand computing–based transaction processing system using ant colony optimization

Mahato

Singh

2018

Concurrency and Computation

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Summary Maximization of availability and minimization of the makespan for transaction scheduling in an on‐demand computing system is an emerging problem. The existing approaches to find the exact solutions for this problem are limited. This paper proposes a task scheduling algorithm using ant colony optimization (MATS_ACO) to solve the mentioned problem. In this method, first, availability of the system is computed, and then, the transactions are scheduled using the foraging behavior of ants to find the optimal solutions. We also modify two known meta‐heuristic algorithms such as genetic algorithm (GA) and extremal optimization (EO) to obtain transaction scheduling algorithms for the purpose of comparison with our proposed algorithm. The compared results show that the proposed algorithm performs better than others.

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Balanced task allocation in the on‐demand computing‐based transaction processing system using social spider optimization

Cited by 15 publications

References 47 publications

Social spider optimization based optimized heat management for wet‐electrospun polymer fiber

Social spider optimization based optimized heat management for wet‐electrospun polymer fiber

Optimal design of autonomous desalination with storage energy system using SSO algorithm

Maximizing availability for task scheduling in on‐demand computing–based transaction processing system using ant colony optimization

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