10.26180/5ed89f27786d5
ALEXEY MEDVEDEV
ALEXEY
MEDVEDEV
Performance and Cost Driven Data Storage and Processing for IoT Context Management Platforms
Monash University
2020
Internet of Things
context management platform
storage management
Applied Computer Science
Distributed Computing
2020-06-04 07:13:42
Thesis
https://bridges.monash.edu/articles/thesis/Performance_and_Cost_Driven_Data_Storage_and_Processing_for_IoT_Context_Management_Platforms/12423479
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.