Abstract:
"
Cloud computing has already made a huge impact on the IT industry, nowadays most of the IT
infrastructure is moving towards the cloud. The reason behind the success of cloud environments is they
provide the resources to the applications to grow easily and free. When it comes to big data, image
processing plays a huge role. Image processing is one of the essential requirements in most data science
applications and many other applications.
Serverless computing is one of the emerging technologies in the cloud computing world. Serverless
computing models help both users and cloud vendors to utilize the resources in the cloud. Serverless
models provide benefits to both cloud users and vendors, users will be able to deploy their applications in
a cost-effective manner and users will have higher flexibility when they deploy and manage the cloud
applications.
Developing a cost-effective model for cloud-based image processing is an essential requirement, with the
rapid development of the big data field. When it comes to image processing in cloud environments, those
image processing systems required a huge amount of computation power and resources, because of that
system cost becomes high. And, when the system grows systems need to change frequently and the
complexity of the systems does not allow users to change their systems easily. These issues will address
by the novel architecture and design that will be introduced by the “Serverless Image Processor.” "
