Page 119 - Emerging Trends and Innovations in Web-Based Applications and Technologies

International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
1. Virtual Machine: These are software-based computers Data Processing
running on physical hardware. Testing of various open- File processing for indexing, optimizing and adding value-
source tools, such as KVM and XEN, was conducted for added functions of file indexing; Tags the content values.
creating such VMs. Since KVM fared slightly better, they
Technologies:
chose it for this project. Each VM runs a Linux operating AI/ML powered Meta data extraction and content analysis
system, optimized for the least utilization of disk space.
VMs also include such software packages like web Data jobs in big data processing cluster via batch processing
servers, Apache, and programming modules such as systems
PHP.
Key Features:
2. Virtual Machine Manager Module (VMMM): This tool Intelligent Indexing — better searchability
controls the VMs, dynamically creating and deleting
Conversion Formats and other use cases for Conversion
them depending on what the system needs at any given
Optimization
time.
Access Control
3. Data Access Module (DAM): This system controls
virtual storage for virtual machines. It interacts with Operation: The access control mechanisms are so robust that
the files are accessible only to those having the appropriate
physical storage to make the files that a VM needs are
login.
accessible to the latter without hassle.
Technologies:
4. Load Balancer Module: This will ensure that the
workload is spread well over a variety of VMs so that no Role-based access control (RBAC)
server gets all the workload on it. Multi-factor authentication (MFA) for additional security.
5. Load Manager-LM: This keeps watch on the system's Key Features:
workload, making sure that all things run smoothly in User level role-based permissions
the cloud. 6. Cloud-based distributed Storage, DISOC:
Persistent Access Links and Real-time activity logs.
This is the file storage system across multiple servers for
performance and reliability. It's tailor-made for the File Sharing
project's needs. Step: Secure file transfer via shared links or collaborative
IV. WORKFLOW channels created in advance.
CloudFileHub Workflow consists of these 6 stages that a file Technologies:
has to pass through: from file upload on local drive going into Hidden Links, Shared files Encrypted
cloud storage and data processing. Every stage is created for
Share with a time limit and permission based
the better usability, security and to take the efficiency to the
maximum. Key Features:
Password protected file transfer
Method: Users upload files to multiple devices with a single
click by using drag and drop on the smart interface. Collaborative Features such as annotation and version
control
File Upload
Process — Client initiates file uploads using multiple devices Data Backup and Restore
via an easy drag-n-drop solution. Step: Automated backup, recovery processes of the system
are the ones that assist in data integrity.
Technologies:
File transfers between peers are encrypted with secure Technologies:
protocol (AES-256). Incremental and differential approach to backups.
Third party integration APIs for automated uploads. To keep the different versions of a file.
Key Features: V. KEY FEATURES
Progress in real-time Scheduled backups with case notifications.

Support for a wide range of file types, most multimedia and DR Options: Point-in-time disaster recovery.
compressed as well.
VI. CONCLUSION
Cloud Storage CloudFileHub is a shining example of the coming cloud file
Description: The Uploaded files are stored in a distributed storge and management solutions providing companies,
cloud infrastructure for high availability and fault tolerance. powered by advanced technology to provide best in class
user experience. CloudFileHub is the future, empowering
Technologies:
Distributed storage clusters, using tools such as Amazon S3 individuals and businesses in a wide variety of ways all by
or Google Cloud Storage. integrating AI powered processing, state-of-art access
control as well as straining analytics. Indeed, future studies
Data security: end-to-end encryption. may investigate improvements in predictive analytics & real-
time collaboration tools to further reinforce its position as an
Key Features:
ecosystem component.
For Scalable to be with the ever-increasing storage demands
VII. REFERENCES
Organize files with metadata-based organization using [1]
automated Metadata Blokdyk, G. (2020). Cloud File Storage: A Complete
Guide. Amazon.

IJTSRD | Special Issue on Emerging Trends and Innovations in Web-Based Applications and Technologies Page 109