User profiles for Manideep Yenugula
![]() | Manideep YenugulaPerformance Engineer and AI Performance Monitoring Engineer Verified email at ieee.org Cited by 242 |
Establishing the fuzzy integrated hybrid MCDM framework to identify the key barriers to implementing artificial intelligence-enabled sustainable cloud system in an IT …
The purpose of this research is to identify the important barriers for developing a long-term
Artificial Intelligence (AI) cloud system in an Information Technology (IT) business. A fuzzy …
Artificial Intelligence (AI) cloud system in an Information Technology (IT) business. A fuzzy …
[PDF][PDF] Cloud computing in supply chain management: Exploring the relationship
The process of organizing the flow of goods and services from suppliers to customers is
known as SCM. It entails an intricate web of processes, such as production, transportation, …
known as SCM. It entails an intricate web of processes, such as production, transportation, …
[HTML][HTML] Analyzing the critical parameters for implementing sustainable AI cloud system in an IT industry using AHP-ISM-MICMAC integrated hybrid MCDM model
This study aims to identify the critical parameters for implementing a sustainable artificial
intelligence (AI) cloud system in the information technology industry (IT). To achieve this, an …
intelligence (AI) cloud system in the information technology industry (IT). To achieve this, an …
[PDF][PDF] Data Center Power Management Using Neural Network
M Yenugula - Int. J. Adv. Acad. Stud, 2021 - researchgate.net
Cloud based services have grown substantially due to the cost-effective migration of applications
to the cloud. As a result, there are now a plethora of data centers that can provide these …
to the cloud. As a result, there are now a plethora of data centers that can provide these …
[PDF][PDF] Optimizing load balancing for green cloud via efficient scheduling
M Yenugula - International Journal of Advanced Academic Studies, 2022 - researchgate.net
The primary objective of cloud service providers is to maximize profits via the optimal use of
cloud computing resources. Cloud technology is a business-oriented concept that aims at …
cloud computing resources. Cloud technology is a business-oriented concept that aims at …
Advancement improving the acquisition of customer insights in digital marketing by utilising advanced artificial intelligence algorithms
BT Geetha, M Yenugula, N Randhawa… - … on Trends in …, 2024 - ieeexplore.ieee.org
An intriguing fresh development in digital marketing is the integration of artificial intelligence
(AI). This paper delves into this topic. Conceptually, AI involvement in app development is …
(AI). This paper delves into this topic. Conceptually, AI involvement in app development is …
A systematic literature study on energy-efficient duty cycle MAC protocol for IoT network
M Yenugula - AIP Conference Proceedings, 2024 - pubs.aip.org
A systematic literature study in the proposed work analyses the existing duty cycle-aware
medium access control (MAC) protocols. Different types of energy-efficient MAC protocols are …
medium access control (MAC) protocols. Different types of energy-efficient MAC protocols are …
AI Based Workflow Scheduling and Automatic Migration Planning Model for Cloud Computing
M Yenugula - International Conference on Advanced Computing and …, 2024 - Springer
Scheduling tasks in information technology facilities in an energy-efficient manner is an
important and widely-discussed problem. But in a real-world information center, the job …
important and widely-discussed problem. But in a real-world information center, the job …
[PDF][PDF] Monitoring performance computing environments and autoscaling using AI
M Yenugula - … Journal of Computing, Programming and Database …, 2023 - researchgate.net
The fluctuating workloads and erratic demands faced by modern enterprises make efficient
use of computer resources necessary. Cloud computing autoscaling provides an answer by …
use of computer resources necessary. Cloud computing autoscaling provides an answer by …
[PDF][PDF] Examining partitioned caches performance in heterogeneous multi-core processors
M Yenugula - researchgate.net
The last-level cache (LLC) is shared by many distinct kinds of cores in asymmetric multi-core
systems. There is greater rivalry in the LLC since different core types have different memory …
systems. There is greater rivalry in the LLC since different core types have different memory …