Cloud Storage Architecture: Issues, Challenges and Opportunities
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2021, Vol 9, Issue 3
Abstract
With the advent of new emerging technologies like fog computing, internet of things, blockchain, artificial intelligence etc, information and communication technology is revolutionising our homes, education, health and industry. By the year 2025, with the increase in network speed offered by 5G technology, we will be able to share much more data in real time. It’s not only important to note that the volume of data shared in future will be huge but also its important to understand that the shared data will be heterogenous in nature. Not only humans but smart devices will act as humans on the network and will generate big data. Thus, the future of cloud storage industry seems to be very bright. The effort in this paper is to recognise the issues and challenges that the cloud storage industry will face in the near future and also to identify and review the new paradigm for researchers in the field of cloud storage.
Authors and Affiliations
Shalini Bhaskar Bajaj, Aman Jatain, Sarika Chaudhary, Pooja Nagpal
Smart Document Analysis Using AI-ML
In this era of digitalization, everything is smart and digitalized. All the documents are presented, prepared and shared as soft copies. Classifying those soft copy documents is gaining an important insight in recent tim...
Comparative Analysis of a Novel Material, GPRA as Partial Replacement in Coarse Aggregate with Individual Materials
GPRA is a unique material made up of shredded glass, plastic, rubber, and aluminum particles. Concrete is abundantly used building material on the planet, requiring around 12.6 billion tons of natural resources to produc...
Analysis of Framed Structure with Conventional and Composite Column
The previous few decades have seen exceptional advances in the utilization of composite materials in structural applications. Structural members that are comprised of at least two distinct materials are known as composit...
Real Time Prevention of Driver Fatigue Using Deep Learning and MediaPipe
This paper describes the development of a system for detecting driver drowsiness whose goal is to alert drivers of their sleepy state to prevent traffic accidents. It is essential that drowsiness detection in a driving e...
Natural Language Processing: An Approach to Aid Emergency Services in COVID-19 Pandemic
In the recent years, Natural Language Processing (NLP) has been widely adopted in numerous applications to organize and structure knowledge to accomplish tasks like translation, summarization, named entity recognition, r...