Agent-based cloud service negotiation architecture using similarity grouping approach

Rajavel, Rajkumar; Ravichandran, Sathish Kumar; Kanagachidambaresan, G. R.

doi:10.1142/s0219691319410157

Cited by 6 publications

(5 citation statements)

References 34 publications

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“…Therefore, the proposed healthcare system outperforms the existing healthcare due to improvements made by the proposed classifier, additive homomorphic encryption and energy & delay aware offloading schemes. In the future, the research study can be enhanced with an automated negotiation framework [34,35] for extending the healthcare capabilities to external entities. In addition, the research can be extended to intelligent video surveillance systems using fog or edge computing capability [36][37][38].…”

Section: Resultsmentioning

confidence: 99%

Integrated Privacy Preserving Healthcare System Using Posture-Based Classifier in Cloud

Kumar¹,

Kumar²

2023

Intelligent Automation &Amp; Soft Computing

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Privacy-preserving online disease prediction and diagnosis are critical issues in the emerging edge-cloud-based healthcare system. Online patient data processing from remote places may lead to severe privacy problems. Moreover, the existing cloud-based healthcare system takes more latency and energy consumption during diagnosis due to offloading of live patient data to remote cloud servers. Solve the privacy problem. The proposed research introduces the edgecloud enabled privacy-preserving healthcare system by exploiting additive homomorphic encryption schemes. It can help maintain the privacy preservation and confidentiality of patients' medical data during diagnosis of Parkinson's disease. In addition, the energy and delay aware computational offloading scheme is proposed to minimize the uncertainty and energy consumption of end-user devices. The proposed research maintains the better privacy and robustness of live video data processing during prediction and diagnosis compared to existing healthcare systems.

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Section: Resultsmentioning

confidence: 99%

Integrated Privacy Preserving Healthcare System Using Posture-Based Classifier in Cloud

Kumar¹,

Kumar²

2023

Intelligent Automation &Amp; Soft Computing

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“…To assess the performance of the proposed classifier model against the existing classifiers, a benchmarking dataset is taken from the inertial sensor database [34,35]. It consists of forty-five persons, equally classified into control, Parkinson and geriatric persons with characteristics as given in Table 1.…”

Section: Experimental Evaluationsmentioning

confidence: 99%

Sensor-Based Gait Analysis for Parkinson’s Disease Prediction

B¹,

Y²

2023

Intelligent Automation &Amp; Soft Computing

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Parkinson's disease is identified as one of the key neurodegenerative disorders occurring due to the damages present in the central nervous system. The cause of such brain damage seems to be fully explained in many research studies, but the understanding of its functionality remains to be impractical. Specifically, the development of a quantitative disease prediction model has evolved in recent decades. Moreover, accelerometer sensor-based gait analysis is accepted as an important tool for recognizing the walking behavior of the patients during the early prediction and diagnosis of Parkinson's disease. This type of minimal infrastructure equipment helps in analyzing the Parkinson's gait properties without affecting the common behavioral patterns during the clinical practices. Therefore, the Accelerometer Sensor-based Parkinson's Disease Identification System (ASPDIS) is introduced with a kernel-based support vector machine classifier model to make an early prediction of the disease. consequently, the proposed classifier can easily predict various severity levels of Parkinson's disease from the sensor data. The performance of the proposed classifier is compared against the existing models such as random forest, decision tree, and k-nearest neighbor classifiers respectively. As per the experimental observation, the proposed classifier has more capability to differentiate Parkinson's from non-Parkinson patients depending upon the severity levels. Also, it is found that the model has outperformed the existing classifiers concerning prediction time and accuracy respectively.

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“…Consumers and service providers seek to meet their maximum needs during the negotiation process. IANA focuses on the negotiation cycle, the negotiation matrix, and performance measures in the process of negotiations [5,[22][23][24]26].…”

Section: Background Studymentioning

confidence: 99%

“…It is negotiating between both parties, on-demand of resources, pricing, availability, and other factors, to establish final agreements between the CSP and the consumer [20]. There is a significant void in negotiating a standing service SLA, which neither specifies the duties incumbent upon CSPs if a malicious incident occurs [7,22,23].…”

Section: Introductionmentioning

confidence: 99%

Model of an Intelligent and Automated Negotiation Agent for the Service Level Agreement Negotiation Process in Cloud Computing

Rishi Kumar,

Mohd Fadzil Hassan,

Muhamad Hariz M Adnan

2023

ARASET

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With the help of an intelligent agent, a cloud service provider (CSP) offers various services and resources to their customers over the internet. Consumers and CSPs in the cloud market are in a constant state of negotiation over their individual needs. Competition among CSPs is fierce because of the enormous number of CSPs in the market. Intelligent negotiation agents are highly demanding as a timesaving and success rate-enhancing tool. While negotiating, multiple attributes such as price, resources, reliability, CSP performance, utility value, and many more are considered. There’s increased false negotiations, faulty servers, and exorbitant fees are all issues arising because of the forever changing CSP market. An intelligent and automated negotiation agent (IANA) understands the conduct of the opponent and the needs of both parties. This need of users and CSP information is utilized in negotiations to find the best possible delivery of services between the customer and the CSP. As a result of the proposed design, negotiations are expedited, and there is a higher success rate and better oversight of service delivery.

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Agent-based cloud service negotiation architecture using similarity grouping approach

Cited by 6 publications

References 34 publications

Integrated Privacy Preserving Healthcare System Using Posture-Based Classifier in Cloud

Integrated Privacy Preserving Healthcare System Using Posture-Based Classifier in Cloud

Sensor-Based Gait Analysis for Parkinson’s Disease Prediction

Model of an Intelligent and Automated Negotiation Agent for the Service Level Agreement Negotiation Process in Cloud Computing

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