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Thesis (MPhil)--Stellenbosch University, 2024.
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| Format: | Thesis |
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Stellenbosch : Stellenbosch University
2025
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| _version_ | 1867613796409802752 |
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| access_status_str | Open Access |
| author | Hammond, Priscilla Naa Dedei |
| author2 | Solms, Fritz |
| author_browse | Hammond, Priscilla Naa Dedei Solms, Fritz |
| author_facet | Solms, Fritz Hammond, Priscilla Naa Dedei |
| author_sort | Hammond, Priscilla Naa Dedei |
| collection | Thesis |
| dc_rights_str_mv | Stellenbosch University |
| description |
Thesis (MPhil)--Stellenbosch University, 2024. |
| format | Thesis |
| id | oai:scholar.sun.ac.za:10019.1/131789 |
| institution | Stellenbosch University (South Africa) |
| last_indexed | 2026-06-10T12:41:50.126Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Stellenbosch : Stellenbosch University |
| publisherStr | Stellenbosch : Stellenbosch University |
| record_format | dspace |
| source_str | SUNScholar — Stellenbosch University Repository |
| spelling | oai:scholar.sun.ac.za:10019.1/131789 Defining architectural requirements for open inference networks Hammond, Priscilla Naa Dedei Solms, Fritz Watson, Bruce W. Stellenbosch University. Faculty of Arts and Social Sciences. Dept. of Information Science. Artificial intelligence Internet of things Cloud computing UCTD Thesis (MPhil)--Stellenbosch University, 2024. ENGLISH SUMMARY: Real-time Internet of Things (IoT) systems today are increasingly using distributed complex event processing to make inferences about the environment. This operation has increasingly reduced communication requirements, improved robustness, and scalability, and avoids the need for ample data storage and processing. Many IoT systems make inferences or base their decisions on the inferred information. However, currently, no open infrastructure exists that allows communities to collectively build ambient intelligence within which stakeholders can make further inferences. Most of these systems are closed or severely limited in their openness and discoverability because they exist for commercial purposes where owners control all components of these systems. Although much research has been done on platforms and standards to support pervasive computing in IoT systems, currently no complete and open reference architecture exists to allow different parties to integrate their self-organising devices into a pervasive and intelligent environment. This exploratory study proposes an Open Inference Network (OIN): a novel open architecture for detecting and publishing complex events at various abstraction levels in an event cloud. This event cloud is a collection of events consumed and produced by this system. Such systems contain three types of nodes: basic event source, inference, and activity nodes. Inference nodes detect event patterns that may encode some meaning and inject that meaning into the event cloud by publishing a higher-level event communicating the detection. Action nodes respond to an event by prompting a system to perform some action; such actions may result in outputs that appear as new events. The architectural requirements for OIN are considered by evaluating the required architectural elements against current IoT standards. The requirements are intended to enable developers to collaborate and evolve OINs and mainly include interoperability, discoverability and security. AFRIKAANSE OPSOMMING: Geen opsomming beskikbaar. Masters 2025-03-25T06:35:58Z 2025-03-25T06:35:58Z 2024-12 Thesis https://scholar.sun.ac.za/handle/10019.1/131789 Stellenbosch University xii, 168 pages : illustrations application/pdf Stellenbosch : Stellenbosch University |
| spellingShingle | Artificial intelligence Internet of things Cloud computing UCTD Hammond, Priscilla Naa Dedei Defining architectural requirements for open inference networks |
| title | Defining architectural requirements for open inference networks |
| title_full | Defining architectural requirements for open inference networks |
| title_fullStr | Defining architectural requirements for open inference networks |
| title_full_unstemmed | Defining architectural requirements for open inference networks |
| title_short | Defining architectural requirements for open inference networks |
| title_sort | defining architectural requirements for open inference networks |
| topic | Artificial intelligence Internet of things Cloud computing UCTD |
| url | https://scholar.sun.ac.za/handle/10019.1/131789 |
| work_keys_str_mv | AT hammondpriscillanaadedei definingarchitecturalrequirementsforopeninferencenetworks |