Paper Contents
Abstract
Cloud-based volunteer coordination systems havebecome increasingly vital in managing large-scalevolunteer activities across diverse domains such asdisaster relief, healthcare, social services, andcommunity development. By leveraging thescalability, flexibility, and ubiquitous accessibility ofcloud computing, these systems enable efficientcommunication, dynamic task allocation, centralizeddata management, and real-time monitoring ofvolunteer efforts. This survey paper systematicallyreviews existing platforms and technologies,analyzing their architectural designs, functionalcapabilities, and deployment strategies. It highlightsthe limitations of traditional coordination methods,including fragmented communication, lack oftransparency, and difficulties in scaling operationsduring high-demand scenarios. Furthermore, thepaper compares current cloud-based solutions,identifying strengths such as interoperability andmobile integration, while also exposing persistentgaps related to security, data privacy, resourceoptimization, and intelligent decision-making.Building on these insights, the paper proposes aconceptual framework for an enhanced volunteercoordination system that integrates real-timetracking, mobile accessibility, intelligent taskdistribution, and predictive analytics powered bycloud infrastructure. The proposed model aims tobridge existing shortcomings, foster resilience involunteer networks, and provide a foundation forfuture research and practical implementations incloud-enabled humanitarian and community serviceecosystems.
Copyright
Copyright © 2025 Sakshi Vitthal Awad, Sejal Bandu Jawalkar, Sumiksha Iresh Dhobi, Disha Maruti Sutar. This is an open access article distributed under the Creative Commons Attribution License.
