A Cloud Information Retrieval Agent is a B.Tech project topic for Information Technology. It gives students a clear starting point for research, implementation planning, and documentation.
A Cloud Information Retrieval Agent Project Details
| Abstract |
Modern cloud platforms can scale resources quickly, but they usually don’t have built‑in ways to find and learn from data automatically. Service‑Oriented Architecture (SOA) and web services are the core of most cloud apps, yet a single web service often cannot locate, combine, or pull specific information from many different cloud nodes. This project proposes a clear framework for a cloud‑based information‑retrieval system that uses a multi‑agent architecture. By adding autonomous software agents to web services, the system can automatically discover, combine, and run distributed services to answer complex user queries. The design includes two main types of agents: a coordinator agent that manages the process and search agents that
query and merge data from several cloud‑hosted web services. The approach gives practical steps for deploying agent‑based middleware, making it easier to find resources and extract data intelligently. We evaluate the system’s performance by measuring query response time, the overhead of agent coordination, and the accuracy of the retrieved data. The results show a scalable solution for autonomous knowledge discovery in today’s cloud environments.
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| Reference Paper |
A Cloud Based Information Retrieval Agent System Using Web Services |
| Domain |
Cloud Computing |
| Sub-Domain |
Cloud-Based Systems |
| PDF Download |
View Source |
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