10.46243/jst.2026.v11.i04.pp01-15 registered
AI-Powered Chatbot Solution for Efficient Network Troubleshooting in Hybrid Cloud Environments
Resolves to https://www.jst.org.in/index.php/pub/article/view/1517
Held by Longman Publishers (India) · prefix 10.46243 live · DOI address https://doi.org/10.46243/jst.2026.v11.i04.pp01-15
Registered 29 Sep 2026 via crossref · record version 2 · last change 29 Sep 2026, 11:59 PM · record sha256 262b31e96e337c48…
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JournalArticle — an article in a journal · Digital · Visual · en
AI-Powered Chatbot Solution for Efficient Network Troubleshooting in Hybrid Cloud Environments (PrincipalTitle)
Published 2026-04-27
Part of Journal of Science & Technology · ISSN 2456-5660 · volume 11 · issue 04 · pages 1
Agents
- Subbarao Duggisetty (author)
- Longman Publishers (publisher)
Identifiers DOI 10.46243/jst.2026.v11.i04.pp01-15
Abstract
Hybrid Cloud environments combining AWS and on-premises infrastructure presents complex network troubleshooting challenges. Traditional manual diagnostic methods are time-consuming, error-prone, and struggle to correlate logs across distributed systems in real-time. This study addresses the creation of AI-based chatbot application to network fault-finding in hybrid cloud systems, involving the AWS CloudWatch, VPC Flow logs and on- premises infrastructure. The chatbot operates with natural language processing (NLP) to instruct users on the troubleshooting steps on the basis of the historical and live network data. The system increases operational efficiency and reduces the time to resolution by automating root cause analysis, log correlation and remediation suggestions. Using Anthropic Claude (Sonnet), Lex AI chatbot achieved 99.67% accuracy and reduced Mean Time to Resolution (MTTR) from 47.0 minutes to 40.13 minutes improvement. The chatbot enhances user experience in real-time and interactive, 24/7 availability, reduce human error, eliminating the necessity to depend on support teams. The paper shows how AI can streamline troubleshooting and optimize network diagnostics of hybrid networks with complex architectures.
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Each element by the standard's name (Annex B: reference elements, then administrative) and the Handbook's (in grey), read off the record above.
| Element | Value | In the record |
|---|---|---|
| DOI Name DOI name | 10.46243/jst.2026.v11.i04.pp01-15 | doi |
| Referent Type referentType | Creation | referent |
| Referent Sub-Type referentSubType | JournalArticle — an article in a journal | type |
| Referent Name(s) referentName(s) | AI-Powered Chatbot Solution for Efficient Network Troubleshooting in Hybrid Cloud Environments (PrincipalTitle, en) | titles |
| Basic Metadata basicMetadata | author: Subbarao Duggisetty publisher: Longman Publishers published: 2026-04-27 part of: Journal of Science & Technology · ISSN 2456-5660 · vol. 11 · no. 04 · pp. 1 language: en form: Digital · Visual · Language | agents, dates, container, language, structural_type, modes, characters |
| Referent Identifier(s) alternateIdentifier(s) | none besides the DOI | identifiers, relations (IsSameAs) |
| Registration Authority registrationAuthorityCode | Crossref — issued by Crossref (member 25296); held here as a copy | record.source_agency (our code, ra_doi_name, for names issued here once appointed) |
| Created Date issueDate | 2026-08-26 | record.registered (when the DOI name was first registered) |
| relatedIdentifiers | none needed — the descriptive metadata is in this record | container, relations (only where the descriptive metadata lives at another identifier) |
complete Every System Metadata element is here, with the basic metadata a journal article needs.
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Every change to this DOI, in order, as it was recorded. Entries are only ever added, never changed or removed.
| # | When | What | By | Changes |
|---|---|---|---|---|
| 1 | 29 Sep 2026, 10:00 PM | register registered at Crossref; record read from api.crossref.org | Administrator (admin) | 198 fields set · sha256 7cbb2897db79… |
| 2 | 29 Sep 2026, 11:59 PM | update record re-read from api.crossref.org | Administrator (admin) | container.titles.0.value: |
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