
TL;DR
This paper investigates the feasibility of using various cloud computing services to support high-resolution video surveillance management systems, highlighting potential benefits, costs, and security considerations.
Contribution
It provides a comparative analysis of SaaS, PaaS, and IaaS cloud services for VMS deployment, emphasizing architectural possibilities and associated challenges.
Findings
Cloud services can support VMS architecture.
Using cloud for VMS is more expensive than traditional systems.
Legal and security issues need further review.
Abstract
A high-resolution video surveillance management system incurs huge amounts of storage and network bandwidth. The current infrastructure required to support a high resolution video surveillance management system (VMS) is expensive and time consuming to plan, implement and maintain. With the recent advances in cloud technologies, opportunity for the utilization of virtualization and the opportunity for distributed computing techniques of cloud storage have been pursued on the basis to find out if the various cloud computing services that are available can support the current requirements to a high resolution video surveillance management system. The research concludes, after investigating and comparing various Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS) cloud computing provides what is possible to architect a VMS using cloud…
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