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Papers by Meenakshi Kandpal

International journal of computer applications, Jun 18, 2014

Lecture Notes in Electrical Engineering, 2021

2021 IEEE 2nd International Conference on Applied Electromagnetics, Signal Processing, & Communication (AESPC), 2021

2021 2nd International Conference for Emerging Technology (INCET), 2021

Due to the rapid growth of the Industrial IoT (IIoT), social media and digitization, and wireless... more Due to the rapid growth of the Industrial IoT (IIoT), social media and digitization, and wireless communication technology in various sectors, data volume is increasing rapidly. Cloud computing is an emerging solution with fog computing assistance for handling and processing a huge volume of data. It is a soar of means to improve the quality of services provided to users through cloud computing, which has been more overwhelmed by the massive data flow. Transmitting all the data to the cloud and getting it back from the cloud causes high latency and requires high network bandwidth. In the IIoT applications, there is enough energy needed in the fog layer, a promising area to be handled by the cloud service providers. An important factor that contributes to the energy consumption in fog servers is VM allocation. This paper proposes EVMAS, i.e., an energy-aware VM allocation scheme based on Lagrange’s undetermined multiplier with the Hessian matrix, which improves the Quality of Service (QoS) in parallel with service level agreement (SLA). The suggested technique outperforms in comparison to the other state of the algorithm.

For effort estimation, among various inputs, size is the most vital one. The estimation of effort... more For effort estimation, among various inputs, size is the most vital one. The estimation of effort and cost depends on the accurate prediction of the size. Given the central role that software size plays in the Software Cost Estimation, software developers are increasingly focusing on process improvement in the software size estimation area. This demand has spurred the provision of a number of new and /or improved approaches to software size estimation. Among all, Object-oriented technology is becoming popular in today's software development environment. There are various methods available for establishing the relationship between the size estimation metric and effort. This paper aims to establish statistics relation using mathematical approach. Statistical correlation is being calculated between the two variables to measure the dependability of the relationship and determining the precision of a relationship

Studies in Big Data, 2018

In the digital planet, the concept of spatial data, its cloud and Geographical Indications (GI) p... more In the digital planet, the concept of spatial data, its cloud and Geographical Indications (GI) plays a crucial role for mapping any organization or point and acquired a reputation for producing quality results based on their spatial characteristics, including their visualization. From the twentieth century onwards, the GIS were also developed to capture, store and analyze spatial data, replacing the tedious analogue map making process. The current examine paper put forwards along with develops a Cloud SDI representation named as Geocloud4GI for giving out, investigation and dispensation of geospatial facts particularly for registered GIs in India. The primary purpose of Geocloud4GI framework is to assimilate the entire registered GIs' information and related locations such as state wise and year wise registered in India. Geocloud4GI framework can assist/help common people to get enough information for their further studies and research on GI as one of the integral part of IPR studies. QGIS is used for GI geospatial database creation and visualization. With the integration of QGIS Cloud Plug-in, the GI geospatial database uploaded in cloud server for analysis cloud infrastructure. Finally, overlay analysis has performed with the help of Google base maps in Geocloud4GI environment.

2017 14th IEEE India Council International Conference (INDICON), 2017

ISPRS International Journal of Geo-Information, 2020

Several real-world applications involve the aggregation of physical features corresponding to dif... more Several real-world applications involve the aggregation of physical features corresponding to different geographic and topographic phenomena. This information plays a crucial role in analyzing and predicting several events. The application areas, which often require a real-time analysis, include traffic flow, forest cover, disease monitoring and so on. Thus, most of the existing systems portray some limitations at various levels of processing and implementation. Some of the most commonly observed factors involve lack of reliability, scalability and exceeding computational costs. In this paper, we address different well-known scalable serverless frameworks i.e., Amazon Web Services (AWS) Lambda, Google Cloud Functions and Microsoft Azure Functions for the management of geospatial big data. We discuss some of the existing approaches that are popularly used in analyzing geospatial big data and indicate their limitations. We report the applicability of our proposed framework in context ...

International Journal of Computer Applications, 2012

The accuracy of an estimate is always questionable. Lots of efforts have been put to make an esti... more The accuracy of an estimate is always questionable. Lots of efforts have been put to make an estimate more accurate. In case of a software project, the accuracy of estimate is dependent on the correctness of size estimation. Size is a critical factor in determining cost, schedule, and effort. Poor size estimation may lead to budget overruns and late deliveries, which decreases the confidence of customer and erodes the image of developer. Traditional size estimation methods generally used are source lines-of-code, function point, object points etc. However, traditional size metrics have limitations and are not compatible with newer rapid prototyping and object-oriented approaches of software development. This paper critically analyzes the lacunas of traditional methods and introduces Object oriented metrics for effective size estimation for Object Oriented Software.

International Journal of Computer Applications, 2014