Journal of Advanced Research in Cloud Computing, Virtualization and Web Applications

Evaluation of Outcome of Resources Utilized for Library Science

2026-05-05T19:01:47+00:00

The services offered by the college’s central library of Jaipur were assessed. Data was collected through a questionnaire given to library users, and an evaluation of the services was carried out. The outcomes of the study designate that the central library in colleges contributes to the provision. Variety of library services, including the RFID (Radio Frequency Identification) software, for the users. The recent state of libraries gives opportunities for self-learning to the beneficiaries. Respondents recommended that the library provide training programmes to assist users in making better use of its resources.

DOI: https://doi.org/10.24321/3051.4320.202609

NLP-Powered Text Analytics for Cloud Platforms Intelligent Workload Forecasting and Proactive Autoscaling

2026-03-10T12:15:20+00:00

The high rate of growth of cloud computing services has made effective management of resources inseparable from the maintenance of service performance and, at the same time, reducing the costs of operations. Traditional methods of autoscaling tend to use reactive rules that are based on thresholds, which are not sufficient to respond to the dynamic and unpredictable workload patterns that are seen in the modern cloud settings. To overcome this shortcoming, we introduce a new framework that uses text analytics with natural language processing capabilities to derive workload indicators based on heterogeneous cloud telemetry data, such as logs, metrics, user feedback, and service tickets, to support the intelligent workload prediction and proactive autoscaling. In the suggested methodology, the textual cloud data is transformed to semantically meaningful features, which are then integrated into hybrid forecasting models, which initiate proactive scaling decisions. Experimental analysis of actual cloud traces and model workload conditions shows significant gains in prediction error, resource utilisation and response latency compared to baseline methods.

IoT in the Era of 5G, AI, and Edge Computing: Architectures, Applications, and Security Perspectives

2026-05-11T10:15:45+00:00

The Internet of Things (IoT) has evolved from a theoretical framework into a globally pervasive technological paradigm underpinning digital transformation across industries. It forms a complex cyber-physical ecosystem of billions of heterogeneous devices—ranging from nanoscale sensors to industrial controllers—interconnected through wired and wireless infrastructures to enable distributed data acquisition, analysis, and actuation in real time. Recent projections indicate that more than 30 billion active IoT devices generate over 79 zettabytes of data annually, a growth driven by advances in miniaturised electronics, energy-efficient system-on-chips, and cloud-edge orchestration frameworks. Built on the principles of distributed computing and embedded control, IoT systems capture and digitise physical phenomena via protocols such as MQTT and CoAP, process them through intelligent algorithms at the edge or in the cloud, and act autonomously to support time-critical decision-making in fields like smart manufacturing, precision agriculture, and telemedicine. Despite rapid adoption, challenges persist in scalability, interoperability, and security, especially among constrained devices lacking trusted hardware and standardised protection mechanisms. Addressing these issues requires integrated architectures that unify communication, computation, and cybersecurity. This paper provides a comprehensive review of IoT architectures, enabling technologies, and cross-domain applications; analyses key enablers including 5G, edge computing, artificial intelligence, and blockchain; and explores future trajectories involving 6G, quantum-AI integration, and neuromorphic systems. Collectively, the study positions IoT as a foundational pillar of intelligent, sustainable, and human-centric digital ecosystems.