International Journal on Science and Technology

E-ISSN: 2229-7677     Impact Factor: 9.88

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 17 Issue 2 April-June 2026 Submit your research before last 3 days of June to publish your research paper in the issue of April-June.

Recent Trends and Developments in Cloud Computing: A Comprehensive Survey on Edge-Cloud Continuum, Serverless Paradigms, and AI-Integrated Architectures

Author(s) Dr. DIPAK VASUDEO BHAVSAGAR
Country India
Abstract Cloud computing has undergone profound transformation since its inception, evolving from centralized data center paradigms to a distributed computing continuum spanning edge, fog, and core cloud resources. This survey presents a systematic review of the most salient developments in cloud computing from 2018 to 2024, encompassing 162 peer-reviewed publications across five principal research frontiers: the edge-cloud continuum, serverless and Function-as-a-Service (FaaS) architectures, container orchestration via Kubernetes, AI/ML-integrated cloud paradigms, and multi-cloud hybrid deployment strategies. We propose a novel five-dimensional taxonomy termed the Adaptive Edge-Cloud Orchestration Framework (AECOF), classifying contemporary cloud deployments across the axes of resource locality, workload elasticity, data sovereignty, latency sensitivity, and AI-readiness. Quantitative findings reveal that AI-driven orchestration reduces resource provisioning overhead by 34–47% compared to rule-based schedulers, while hybrid serverless-container deployments demonstrate 28% superior cost efficiency for bursty workloads. A comparative evaluation of twelve leading serverless platforms, six container orchestration systems, and five multi-cloud management frameworks is presented. We further identify twelve open research challenges including cold-start latency mitigation, quantum-resilient cloud orchestration, neuromorphic edge computing, autonomous self-healing microservices, and carbon-aware workload placement. The proposed AECOF taxonomy provides researchers and industry practitioners with a unified evaluative lens for designing and deploying next-generation cloud solutions.
Keywords cloud computing, edge computing, serverless computing, fog computing, container orchestration, AI/ML cloud integration, multi-cloud, hybrid cloud, Function-as-a-Service, Kubernetes, computing continuum.
Field Computer Applications
Published In Volume 17, Issue 2, April-June 2026
Published On 2026-04-23

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