Hierarchical Chord-Based Resource Discovery in Intercloud Environment

Kapoor, Lohit; Bawa, Seema; Gupta, Ankur

doi:10.1109/ucc.2013.91

Cited by 9 publications

(5 citation statements)

References 6 publications

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“…Data missing may occur during the training and testing period. us, doctors need to identify and justify the outputs before implementing a patient [32].…”

Section: Discussion and Findingsmentioning

confidence: 99%

An Investigation in Applying Internet of Things Approach in Safe Food Dietary Plan for Better Chronic Diabetes Management among Elderly Adults

Geetha

Krishna

Vyas

et al. 2022

Journal of Food Quality

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Chronic diabetes among adults is a public health concern and clinicians are trying to implement new strategies to effectively manage the disease. Traditionally, healthcare professionals are used to monitor and track the lab reports of patients. After that, they used to provide respective medicines and lifestyle plans to manage the chronic disease. The lifestyle of the patients and access to safe and secure food products is also responsible for developing chronic diseases. Thus, the Internet of Things (IoT) has taken an utmost interest in managing diabetes. This research is going to analyze the accuracy of IoT in assisting chronic diabetes management and determining food safety. To accomplish the research objectives, the researchers performed a linear regression analysis to understand whether IoT devices and Artificial Intelligence (AI) assist in assessing food safety and diabetes management. The independent variables selected were lab test values, treatment records, epoch size of AI, and image resolution of the training dataset. Dependent variables were the accuracy of IoT. Here, the accuracy of IoT and AI has been determined. Moreover, the accuracy of clinicians in diabetes management has been observed. It has been found that clinicians have high variance in accuracy (max 99%) whereas machines have limited variance in accuracy (max. 98%). Secondary research identified that clinicians need to be involved along with IoT devices for better management of this chronic disease and help patients by providing the safest food options.

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“…Data missing may occur during the training and testing period. us, doctors need to identify and justify the outputs before implementing a patient [32].…”

Section: Discussion and Findingsmentioning

confidence: 99%

An Investigation in Applying Internet of Things Approach in Safe Food Dietary Plan for Better Chronic Diabetes Management among Elderly Adults

Geetha

Krishna

Vyas

et al. 2022

Journal of Food Quality

View full text Add to dashboard Cite

show abstract

“…Data from a preoperative evaluation were used to forecast whether or not an individual will pass or fail a course, and the Bayesian, decision tree, and neural network algorithms were used to evaluate their prediction accuracy, ease of learning, and user-friendliness. By taking the proper measures at the right time, the researchers found that this system can assist students and teachers enhance student achievements and minimize the failure ratio [7].…”

Section: Literature Surveymentioning

confidence: 99%

Metaheuristics Method for Classification and Prediction of Student Performance Using Machine Learning Predictors

Kamal

Chakrabarti

Ramírez-Asís

et al. 2022

Mathematical Problems in Engineering

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Over the last few decades, there has been a gradual deterioration in higher education in all three areas: the academic setting (both staff and students), as well as research and development output (including graduates). All colleges and universities are essentially focused on improving management decision-making and educating pupils. High-quality higher education can be obtained through a variety of methods. One method is to accurately forecast pupils’ achievement in their chosen educational context. There are numerous prediction models from which to pick. While it is unclear whether there are any markers that can predict whether a kid will be an academic genius, a dropout, or an average performer, the researcher reports student achievement. This article presents a metaheuristics and machine learning-based method for the classification and prediction of student performance. Firstly, features are selected using a relief algorithm. Machine learning classifiers such as BPNN, RF, and NB are used to classify student academic performance data. BPNN is having better accuracy for classification and prediction of student academic performance.

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“…Non-federated model proposed by authors in (Gupta A., 2011) explains the use of feasible strategy for creating a pool of cloud service providers for meeting volatile resource requirements. Authors in (Kapoor L., 2013) propose a chord-based resource discovery mechanism using P2P brokers based on spatialawareness of cloud data-centers associated with different cloud service providers thus permitting QoS-compliant resource provisioning within the intercloud domain.…”

Section: P2p-based Approachmentioning

confidence: 99%

“…Discovery (Kapoor L., 2013) Chord-based distributed resource discovery mechanism is explained again based upon spatial-awareness of cloud data-centers which belong to different dispersed CSPs. Elements of trust and reputation calculation are not considered.…”

Section: Chord Based Resourcementioning

confidence: 99%

Intercloud Resource Discovery: A Future Perspective using Blockchain Technology

Sharma

Gupta

2019

JTMGE

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Intercloud is a single logical entity orchestrating resources from different individual clouds providing on-demand resource provisioning in a seamless manner. However, achieving efficient resource discovery in the intercloud environment remains a challenging task owing to the heterogeneity of resources and diversity of cloud platforms. The paper briefs about intercloud resource discovery, outlines the current work done using existing approaches and examines the challenges involved. Finally, the paper explains the concept of blockchain and presents an innovative conceptual model for efficient resource discovery in intercloud.

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Hierarchical Chord-Based Resource Discovery in Intercloud Environment

Cited by 9 publications

References 6 publications

An Investigation in Applying Internet of Things Approach in Safe Food Dietary Plan for Better Chronic Diabetes Management among Elderly Adults

An Investigation in Applying Internet of Things Approach in Safe Food Dietary Plan for Better Chronic Diabetes Management among Elderly Adults

Metaheuristics Method for Classification and Prediction of Student Performance Using Machine Learning Predictors

Intercloud Resource Discovery: A Future Perspective using Blockchain Technology

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