The rapid growth of graph data in various domains has propelled the need for efficient
distributed graph processing techniques in cloud computing environments. This paper …

Complex data systems are incapable of processing large data volumes, rendering the task
of retrieving pertinent information unattainable. The advent of the Internet has amplified the …

Over the last several years, there has been a significant rise in the number of people getting
online and using the internet. Individual hypertext links are available, and any one of them …

There has been a meteoric rise in the total amount of digital texts as a direct result of the
proliferation of internet access. As a direct result of this, document clustering has evolved …

Utilising the dispersed resources that are accessible inside a cluster, the dispersed Deep
Learning System (DDLS) is able to successfully complete the process of training complex …

One definition of the word" distributed system" describes it as" a set of entities that
collaborate in order to find a solution to a problem that cannot be solved by a single entity …

Currently, massive graph data, including social networks and biological proteins, is
extensively utilized and contains a substantial amount of sensitive information. As cloud …

Textual documents are growing rapidly through the internet in today's modern technology
era. Electronic structured databases archive offline and online documents, e-mails …

There have been a growing number of academics and developers who have appeared in
recent years, and they have spent a significant amount of their time and attention to …

Abstract The Internet of Things (IoT) is the most common research subject. IoT is concerned
with the creation of smart devices that assist people in performing a variety of tasks …