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International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
collaboration enabled by modern location-agnostic There is Still Much to Improve: Latency, Data Privacy, Energy
technology. Consumption Among Other Things Crowd (The evolving
challenges are not new but due to the developments of new
The need for robust and flexible IT solutions became technologies, they have been achieved within lengths of
apparent worldwide during the COVID-19 pandemic; as
organizations migrated to cloud platforms in order to stay up time)
in business. The importance of CloudFileHub lies with in the CloudFileHub is in fact a significant case study as it has lots
fact that its capabilities of continuous collaboration and of methodologies for solving these problems at the same
secure access to the data during this period are a perfect time. A mix of robust security features, easy interfaces and
example how versatile cloud ecosystem can be. This paper intelligent automation the platform brings its own piece of
will explore the ongoing development of such platforms to knowledge with the underlying core to improve how we
meet an ever more digital and interconnected world in this manage files in cloud systems. One such research objective is
study. to align the strategies advanced CloudFileHub within cloud
computing trends and needs of the industry at large.
The research not only looks at the technology of course
(OpenViBE) but also the economic and ecological side to III. METHODOLOGY
cloud-based file management. This methodology is intended to certainly implement and
improve file management processes in the CloudFileHub
The cloud allows cloud platforms to scale at low cost, easing platform; we combine both qualitative and quantitative
an infrastructure inefficiency; we require less physical approaches that answer an exhaustive panorama. We will
infrastructure. But the data centers are hungry for energy, now proceed in detail on how it continues (approach and
and very expensive to cool. CloudFileHub greens[ly], is using methodology).
environmentally friendly and green computing solutions:
energy-efficient Datacentres or carbon offset initiatives to 1. Research Design
demonstrate their commitment and following tracks the It is case study research on CloudFile Hub, an online cloud
industry to be more sustainable. file management tool that offers in the cloud. The research
seeks to find problems, evaluate current strategies and
In this piece: The cloud-based file management utilised in
suggest improvements for file management.
this paper Part 1 provides a high-level overview of the
benefits and obstacle. The case study of CloudFileHub as well 2. Data Collection Method
what it does, its architecture and optimization tactics are CloudFilehub gets samples: insights into its current file
discussed more elaborately in the following section. What management processes through the following collection of
the third part does is delve deeper into the implications of data:
cloud file management — technological, economic and Analysis of CloudFileHub: file storage, dissemination and
environmental. Last but not least, the conclusion articulates retrieval mechanism were investigated mainly through
the results of the research and states the recommendations technical documentation and system architecture of
for further research in this area on one hand, and future CloudFileHub.
development on the other.
User Survey & Interview: CloudFileHub has
Drawing upon CloudFileHub as a case study, the research crowdsourced surveys and interviews with a wide array
develops the comprehension of efficient visualization of of users to understand the rough spots in usability and
cloud-based file management system moving forward based inform desired or missing features.
on different user requirements and organizational needs.
Applications of these insights can mitigate the development Performance Metrics— These key performance
indicators (KPIs) demonstrated that performance-
of future state-of-the-art solutions that are both efficient, driven algorithm was able to demonstrate efficiency, file
secure and sustainable in respect cloud computing. Moving
forward, as cloud technologies evolve and mature the upload / download speed, storage optimization and
retrieval time.
experiences of CloudFileHub will provide important
directions for practitioners, researchers and policy makers 3. Experimental Setup
navigating the challenges of digital transformation. Here we provide an experimental setup to check and validate
II. BACKGROUND AND BACKGROUND REFERENCES proposed solutions:
Cloud computing has emerged as a driving force for file- CloudFileHub: an Experimental Framework to Demonstrate
based systems that manage the increasing volumes of digital and Validate Proposed Optimizations
data. Cloud storage, as traditional on-premises models have Test Bed: A cloud-based environment of simulated
been replaced with elastic resources for on-demand infrastructure similar to CloudFileHub was constructed
scalability (cost reduction; accessibility improved.) Research to implement/verify/evaluate changes.
in cloud file management has mainly been directed towards
system architecture, protection methods and efficiency Tools & Technologies: The tools such as AWS
optimization; this gives also an excellent overview of the CloudWatch, Apache JMeter and customized monitoring
present state of the art, if not trends. scripts were used for performance measurement.
Optimization Algorithms: Data deduplication, file
Integration of Advanced Tech in cloud-based file
management have been studied through research to boost compression and hierarchical storage management
them Hence the use of AI and ML for predictive analytics, (HSM) were among the algorithms used.
anomaly detection, automated classification of files in
relation to file transactions blockchain technology has got
more visibility due to security and transparency increase.
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