EVALUATION OF CLOUD COMPUTING PLATFORM FOR IMAGE PROCESSING ALGORITHMS

This paper evaluates the use of the cloud system environment for image processing algorithms, analysis, and storage capacity from point of view of architecture orientation and service level agreement. Due to the lack of studies in the adoption of a cloud computing platform for image processing as a service, cloud computing environment within needed deployment supposed to allow experts to process and analyze different type of images in that concept. Furthermore, it provides cost-efficient image processing and analysis as a service, which realizes significant cost savings associated with the utilization of the local data center and recruitment IT staff. Thus, it greatly reduces the costs of providing image processing services. In addition, a cloud computing platform for image processing algorithms allows collaboration between image processing environment practitioners. This deployment faces various type of technical, implementation, legal and administrative challenges. This paper makes two contributions to address these concerns by exploring the factors that hinder the adoption of the cloud computing technology for image processing algorithms and defining the key requirement that should be supported by service-oriented architecture (SOA) and service level agreement (SLA). The importance of this study is in the evaluation of the current state of the cloud-based image processing algorithms implementations with a service level agreement requirement. In addition, future research trends related to security, integrity and regulatory have been clarified in this paper.