A5005348575- IoT and Edge/Fog Computing
- Cloud Computing and Resource Management
- Blockchain Technology Applications and Security
- Evolutionary Algorithms and Applications
- Spectroscopy and Chemometric Analyses
- Caching and Content Delivery
- Date Palm Research Studies
- IoT Networks and Protocols
- Quantum Computing Algorithms and Architecture
- Context-Aware Activity Recognition Systems
- Computability, Logic, AI Algorithms
- Age of Information Optimization
- Smart Agriculture and AI
- Advanced Technology in Applications
- Distributed and Parallel Computing Systems
Veer Surendra Sai University of Technology
2020-2025
With the voluminous information being produced by Internet of Things (IoT) smart gadgets, consumers with their countless service requests are also growing rapidly. As there is a huge distance between IoT devices and Cloud datacenter, some latency incurred in communication datacenter. This can be reduced introducing Fog layer therefore, it paramount to offload those tremendous data leverage overloaded storage computation Cloud-based systems Fog-assisted nodes. Moreover, these heavy...
The increasing demand for Cloud service with sudden resource requirements of Virtual Machines (VMs) different types and sizes may create an unbalanced state in the datacenters. In turn, it will lead to low utilization slow down server's performance. This research article proposes enhanced version Artificial Rabbit Optimization (ARO) called Improved based on Pattern Search (IARO-PS), where ARO has been utilized schedule dynamically independent requests (tasks) overcoming challenges discussed...
Nowadays, with the advent of many new technologies, data is alarmingly generated by widespread internet devices in this world. Cloud computing seems a viable option for scheduling dynamic disparate specifications. However, execution time increases due to computationally-limited resources causing latency overhead. So, Fog has evolved as promising paradigm complement computing. Therefore, effectively utilizing underlying enormous tasks latency-sensitive applications critical issue. Hence, cope...
The ever-increasing use of Internet Things (IoT) devices like smartphones, PDAs, smartwatches, etc. by the users has also drastically increased volume data that needs to be processed cloud servers. servers are very powerful and capable processing at once. However, being a centralized paradigm existence physical gap from IoT layer, it is incapable bulk thereby resulting in latency overhead, power consumption, service rate. This work proposes an energy-efficient method with introduction Fog...
<title>Abstract</title> Cloud computing including mobile IoT devices infrastructure have grown to be a key component of future high-performance networks because they can supply distributed, hierarchical, and fine-grained resources. The secret is combine the optimization compute offloading service caching. However, dynamic tasks, heterogeneous resources, coupled decisions pose three major obstacles joint caching dilemma. In this paper, we study how Dew-assisted Fog-Cloud benefit from...
The evolvement of different computing paradigms as complementary to Cloud has transfigured the world into a smarter place. This extension been believed cutting-edge technology improve processing power resource constraint nodes. However, due location unawareness, security data plays significant role both for service provider and consumers. challenge led development blockchain prominent solution providing privacy. paper aims briefly survey its application in evolving paradigms. In addition,...