Yasmeen Yasmeen

P.V. Narsimha Rao Telangana Veterinary University

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Suresh S. Patil

University of Agricultural Sciences Raichur

G. M. Hiremath

University of Agricultural Sciences, Dharwad

Adapa Gopi

Koneru Lakshmaiah Education Foundation

Ravindra Changala

Guru Nanak Institutions

G. Vinoda Reddy

G. Yedukondalu

Koneru Lakshmaiah Education Foundation

B. S. Reddy

Central Research Institute for Dryland Agriculture

N. Ananda

University of Agricultural Sciences Raichur

Jagjiwan Ram

University of Agricultural Sciences Raichur

B. G. Koppalkar

University of Agricultural Sciences Raichur

Cooperative Institutions

University of Agricultural Sciences Raichur

Koneru Lakshmaiah Education Foundation

University of Agricultural Sciences, Bangalore

University of Agricultural Sciences, Dharwad

Capital University

Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology

Sultan Zainal Abidin University

Al Jouf University

Savitribai Phule Pune University

Guru Nanak Institutions

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Framework for Virtualized Network Functions (VNFs) in Cloud of Things Based on Network Traffic Services

International Journal on Recent and Innovation Trends in Computing and Communication (2023)

G. Yedukondalu Yasmeen Yasmeen G. Vinoda Reddy Ravindra Changala Mahesh Kotha

The cloud of things (CoT), which combines the Internet of Things (IoT) and cloud computing, may offer Virtualized Network Functions (VNFs) for IoT devices on a dynamic basis based on service-specific requirements. Although the provisioning of VNFs in CoT is described as an online decision-making problem, most widely used techniques primarily focus on defining the environment using simple models in order to discover the optimum solution. This leads to inefficient and coarse-grained provisioning since the Quality of Service (QoS) requirements for different types of CoT services are not considered, and important historical experience on how to provide for the best long-term benefits is disregarded. This paper suggests a methodology for providing VNFs intelligently in order to schedule adaptive CoT resources in line with the detection of traffic from diverse network services. The system makes decisions based on Deep Reinforcement Learning (DRL) based models that take into account the complexity of network configurations and traffic changes. To obtain stable performance in this model, a special surrogate objective function and a policy gradient DRL method known as Policy Optimisation using Kronecker-Factored Trust Region (POKTR) are utilised. The assertion that our strategy improves CoT QoS through real-time VNF provisioning is supported by experimental results. The POKTR algorithm-based DRL-based model maximises throughput while minimising network congestion compared to earlier DRL algorithms.

Provisioning

Virtual network

10.17762/ijritcc.v11i11s.8068

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Citations (2)

An Economic Analysis on Factors Influencing the Family Income of Livestock Farmers: A North-Eastern Karnataka Study

International Journal of Livestock Research (2020)

Yasmeen Yasmeen Suresh S. Patil Jagjiwan Ram G. M. Hiremath B. G. Koppalkar

10.5455/ijlr.20191021060133

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Factors responsible for the performance of Cooperative Sugar Factories in North-Eastern Karnataka

Journal of AgriSearch (2018)

Yasmeen Yasmeen Suresh S. Patil G. M. Hiremath N. Ananda

In the present investigation, three cooperative sugar factories were considered to measure the factors responsible for the performance of cooperative sugar factories. It was observed that the recovery percentage, remunerative price and correct weighment are the factors required to become a member of sugar factories. Further, the study revealed enough evidence about the financial ratios, which in turn exhibited the economic potentiality of their respective sugar factories. Before fixing the target to improve the cane procurement, the factory needs to plan programs well before the start of season and hence the installed capacity utilisation can be met. Besides, government should come forward to help the farmers to issue the cane bill payment at an early stage by the factories and extending financial assistance, so that it will facilitate for the farmers to purchase of inputs well in advance for sugarcane cultivation.

Sugar factory

Factory (object-oriented programming)

Sugar cane

Sugar industry

Cane

10.21921/jas.5.2.11

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Performance analysis of cooperative sugar factories in north-eastern Karnataka

Journal of Applied and Natural Science (2018)

Yasmeen Yasmeen Suresh S. Patil G. M. Hiremath B. S. Reddy

The study was attempted to measure the economic performance of cooperative sugar factories in terms of total costs and returns, capacity utilization, physical and financial indicators and ratio analysis of the factories. In this study the three cooperative sugar factories are taken into consideration and the Compound Annual Growth Rate (CAGR) for all the physical and financial indicators are worked out wherein the results suggested that a significant variation in the total cost and returns, capacity utilization and both physical and financial indicators over years within the three sugar factories was found. Further, the study revealed enough evidence about the financial ratios, which in turn showed the economic potentiality of the respective sugar factories. For the better performance of the factories an efficient planning and automation well before the start of the season is necessary and the government should come forward to help the farmers in making the cane bill payment at an early stage by the factories, by extending the financial assistance.

Sugar industry

Sugar cane

10.31018/jans.v10i2.1676

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