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International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
4. Data Analysis Comarison with Baseline: The optimized system
Data was analyzed by means of statistics and programming performance was compared against the baseline
techniques: dashboards of CloudFileHub
Qualitative Analysis: User data & system performance
User-Testing: Users were picked randomly and made to
metric/software metrics are analysed using Python (e.g. test the optimised system and give feedback on usability,
Pandas, Matplotlib).
performance etc.
Qualitative: Thematic analysis was performed on
feedbacks from user surveys and interviews. 6. Ethical Dimensions
All data was collected in accordance with ethical legal
5. Validation framework, including retaining confidentiality and obtaining
Evaluation of the efficacy of the proposed optimizations informed consent from participants. None of the user data
was collected without prior explicit permission.
Image Source: https://www.researchgate.net/figure/Structure-of-cloud-computing-based-optimization_fig1_257336817
IV. A DETAILED CASE STUDY OF CLOUDFILEHUB 3. Improved Security: End to end encryption, multi-factor
About CloudFileHub Authentication & blockchain-based transaction logs to
CloudFileHub is a state-of-the-art cloud solution for file ensure data integrity and privacy.
management incorporating cutting edge features to deliver 4. Predictive Search — use ML to make sense of it all, and
customer-centric design made easier by CloudFileHub. Its provide file discovery recommendations.
purpose is to provide secure, easy and scalable tools that
make managing digital assets simple for individuals and VI. OPTIMIZATION STRATEGIES
organizations. One of the things that let CloudFileHub stand There are some optimizations techniques of CloudFileHub
out from its competitive cloud services market was (and still
does) how adaptive and liberal it was designed for a variety Performance Tuning: Mostly rely on edge computing to be
of users, ranging from small businesses to huge enterprises. able to have reduced latency and increase responsiveness.
Cost Utilization: Implementing tiered storage, throttling, and
System Architecture and Design
CloudFileHub: A Two-tiered architecture on distributed resource monitoring tools in order to savings money.
computing to distribute load, provide for redundancy and Green/sustainable initiatives: well, placed into use energy
hence scale up automatically efficient data center and promoting green computing
practices.
The platform uses sophisticated algorithms to redistribute
the data intelligently, minimizes latency and efficiently VII. CHALLENGES AND FUTURE DIRECTIONS
utilises storage using the same platform technology handles Although CloudFileHub has done an amazing job in
real time tasks. effeciently scaling file management, there will always be
challenges. Critical for the future success are cross-platform
API first architecture means its easy to extend or integrate
with third party applications which makes for interoperable compatibility, regulation compliancy as well user education.
and extensible API. Possible upcoming features are quantum computing, more
sophisticated federated learning + securing protocol
V. FEATURES AND FUNCTIONALITIES improvements in the future
File Hub CloudFileHub — User-focused Features: VIII.
1. Categorize Intelligent File: AI-based algorithms CONCLUSION
automatically categorizes and tags files based on CloudFileHub in action: Envisioning the transformation
contents to enable faster organization and retrieval ability that cloud-based file management systems can have.
CloudFileHub has become an industry leader in cloud
2. Collaborative Tools: Real-time editing, version control computing innovation driven by cutting edge technology and
and secure share functionality that encompases a very user-focused design. The learnings from this research
smooth teamwork. emphasize that adaptation and sustainability will drive the
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