A5073302143- Cloud Computing and Resource Management
- IoT and Edge/Fog Computing
- Web Data Mining and Analysis
- Data Mining Algorithms and Applications
- Distributed and Parallel Computing Systems
- Algorithms and Data Compression
- Internet of Things and AI
- Recommender Systems and Techniques
- Blockchain Technology Applications and Security
- Scheduling and Optimization Algorithms
National Institute of Technology Raipur
2023-2024
Barkatullah University
2013
Tech Mahindra (India)
2013
The world of web is very diverse and contains huge amount information.To obtain relevant information from the www a challenging task today.To ensure retrieval pertinent information, suitable mining techniques can be applied.From perspective designer it important to know about surfing behavior user which accomplished by using log that captures history activities.There are number algorithms used for analyzing log, however choosing appropriate algorithm retrieve required data in less time.This...
Abstract: The goal of the distributed computing paradigm known as "cloud computing," which necessitates a large number resources and demands, is to share services delivered over internet. Task scheduling very significant stage in today's cloud computing. While lowering makespan cost, task method must schedule tasks virtual machines. Various academics have proposed many methods for organizing work environments. Scheduling has been considered most important since it might directly impact...
This paper attempts to signify the importance of newest variation data mining in form web mining.The also discusses about some existing log analysis algorithms.The previous algorithm working with different concepts gives effective result for mining.Presently user want execs pages or other related applications very fast and easily.Then arises a strong need performing increases performance mining.However there exist many systems analysis, results they generate are far from expectations.In this...
The scheduling of appropriate resources for cloud workloads is a difficult task, as it depends on the quality service needs applications. Due to their limited data storage and energy capabilities, loT applications demand high-speed transfer low latency. Many devices generate continuously want store quickly efficiently. Dynamic virtual machine (VM) allocation in centers (DCs) taking advantage computing paradigm. Each VM request characterized by four parameters: CPU, RAM, disk, bandwidth....