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.