RECENT TRENDS IN PARALLEL COMPUTING

The Future of Cloud Computing and Its Potential Impact on Business

B.M. Rajesh, Sanjai Kumar, Aswin T. — Thu, 21 Dec 2023 00:00:00 +0000

Cloud computing continues to evolve as a pivotal technology shaping the modern business landscape. This article delves into the anticipated trends and potential implications of cloud computing for businesses. It outlines a comprehensive journal structure, including key topics such as the current state of cloud computing, emerging trends, impact on business operations, implications for business growth, challenges, future projections, case studies, and concluding recommendations. Furthermore, it offers a list of valuable reference documents and additional resources, providing a thorough understanding of the economic, strategic, security, compliance, and application development aspects related to the future of cloud computing. By examining these insights, businesses can effectively prepare for the dynamic changes brought about by the advancing cloud computing ecosystem, ensuring they remain competitive and adaptive in an increasingly digital and interconnected world.

The Future of Multi-cloud Infrastructures in Data Engineering for Challenge of Handling Large and Dynamic Datasets

Bhuvnesh Pathania — Thu, 21 Dec 2023 00:00:00 +0000

This paper explores the future of multi-cloud infrastructures in data engineering for the challenge of handling large and dynamic datasets. It delves into the opportunities and challenges presented by multi-clouds, focusing on their role in managing large volumes of data and complex computational tasks. The paper discusses the advantages of multi-clouds, such as manageability, flexibility, and cost-effectiveness, and their potential to enhance the efficiency and accuracy of recommender systems. It also addresses the challenges associated with implementing multi-clouds, including data privacy, resource management, and compatibility issues. The paper concludes by highlighting the promising future of hybrid cloud infrastructures in driving significant advancements in data engineering and their potential impact on various sectors.

Big Data: How Universities Use Big Data for Admission

Prerna Vyas — Thu, 11 Jan 2024 00:00:00 +0000

The advent of big data has transformed the manner in which businesses handle, store, and oversee data. In the realm of extensive analytics, cloud computing has emerged as an indispensable resource, offering scalable and budget-friendly solutions for managing substantial data loads. This paper delves into the influence of big data on the university admission process, commencing with a definition of big data. It explores the advantages of employing big data for data processing and storage, alongside addressing the challenges associated with its implementation. Big data has seamlessly integrated into the domain of data science, presenting a methodology that addresses the dynamic intricacies of developing analytics applications from large-scale datasets. To operate with Hadoop, this paper attempts to integrate how does big data is useful in the admission process and how it enhances the strength of admission of students. For the same, big data can play a significant role in the university admission process by helping institutions make more informed decisions and improve the efficiency of their admissions processes.

Quantum Leaps: How Quantum Computing Shapes the Evolution of Artificial Intelligence

Ushaa Eswaran, Vivek Eswaran, Keerthna Murali, Vishal Eswaran — Tue, 12 Dec 2023 00:00:00 +0000

Quantum computing leverages quantum mechanical phenomena to enable powerful new forms of computation. With the ability to dramatically exceed the capabilities of classical supercomputers on select complex problems, many researchers anticipate revolutionary impacts of quantum computing on a variety of fields, including artificial intelligence. This research proposal outlines an investigation analyzing the intersection of quantum computation and artificial intelligence. The key research questions explore how quantum algorithms and hardware may practically enhance future artificial intelligence, along with a rigorous methodology to evaluate quantum techniques for machine learning and neural networks tasks against classical benchmarks. The anticipated results include demonstrable advantages of quantum machine learning over classical approaches, providing unique insights into forthcoming advances at the leading edge of artificial intelligence as quantum platforms continue maturing. Ultimately, this research aims to elucidate the emerging symbiotic relationship between quantum physics and artificial intelligence which could shape the landscape of intelligent technologies in the coming decades.

An Integrative Approach to Implementing Green Cloud Computing, Artificial Intelligence, and Big Data Management in Modern Library Systems

Ananya Samanta Jana, Shivshankar Bharatpure — Wed, 27 Dec 2023 00:00:00 +0000

The expansion of digital resources and the integration of emerging technologies have significantly transformed modern library systems. With the rise in digital collections, libraries are now dealing with a vast amount of data that needs efficient management and storage. This research will explore the role and benefits of leveraging green cloud computing, artificial intelligence, and big data management to improve efficiency and sustainability in library science. This research explores the integrative implementation of green cloud computing, artificial intelligence, and big data management to enhance the efficiency, user engagement, and environmental sustainability of modern libraries. These libraries house a broad range of resources, including music files, research content, reading articles, and other entertainment material.