Rajesh Daruvuri

University of the Cumberlands

Security and specifically data privacy remains a big concern especially in multi tenancy since it brings resource sharing that exposes environment to more security threats such as hacking. Standard data protection techniques provide security measures but are not efficient in dealing with new and complex threats, such as between inhabitant's data le...

This paper explores the seamless integration of advanced data tools like Data Engineering, Artificial intelligence and how both of them perfectly aligns and works with the reporting tool Power BI. With all the tools in charge, helps the advancement of businesses of the organization. In today's data driven world, the organizations are highly depende...

The use of artificial intelligence (AI) in cloud architectures has significantly increased processing efficiency and scale. However, with the development of complex algorithms and big data as well as surprisingly entered into our machine learning world; workload management becomes a significant issue in AI cloud computing. Existing workload managem...

Cloud computing has been disrupting the way businesses work through an effective, and low-cost platform for delivering services and resources. However, as cloud computing is growing at a faster pace the complexity of administering and upkeep of such huge systems has become more complex. Time-consuming and resource-intensive tasks make repetitive op...

Cloud computing architectures are more scalable and economical which is the main reason that has contributed to its popularity. However, they bring their own set of challenges when it comes to workload scheduling and resource utilization because virtual machines (VM) and applications have to share different types of resources like servers, storage,...

To enhance system utility in multi-user task offloading, a reinforcement deep learning-based task offloading scheme within an edge-cloud joint computing framework is proposed. This scheme leverages deep reinforcement learning to optimize the collaborative allocation of resources between edge and cloud, improving decision making for task offloading...

With the rapid development and widespread application of the Internet of Things (IoT), big data, and 5G networks, traditional cloud computing is increasingly unable to handle the massive amounts of data generated by network edge devices. In response, edge computing has emerged as a promising solution. However, due to its open nature, characterized...