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Thesis 24_04_2020 _Amendments_final.pdf (4.77 MB)

Performance and Cost Driven Data Storage and Processing for IoT Context Management Platforms

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thesis
posted on 2020-06-04, 07:13 authored by ALEXEY MEDVEDEV
In this dissertation, we address the challenges of building a context storage management system (CSMS) as a core component of the Context as a Service (CoaaS) platform. The requirements to context query processing time, service discovery and selection, data encapsulation and overall efficiency determine the need for organizing an internal horizontally scalable and high-performing storage subsystem as a part of CoaaS platform. This research is concerned with how to architect a scalable context storage management system that can cost-efficiently and effectively respond to context queries from CoaaS platform, maintain the agreed quality of service, and provide proactive adaptation and caching.

History

Principal supervisor

Pari Delirhaghighi

Year of Award

2020

Department, School or Centre

Information Technology (Monash University Caulfield)

Course

Doctor of Philosophy

Degree Type

DOCTORATE

Faculty

Faculty of Information Technology