Scalability and performance considerations for the Asset Store

This proposed research will be held as part of the implementation of an online marketplace for smart assets, project that will be developed at Side Effects Software .The main objectives of this applied research project will be first, trying to predict the performance requirements. Second, estimating the set of queries that need to be performed. Third, doing an exploratory and deep comparative (Sql versus NonSql databases) study of the different data storage systems and technologies with the aim of selecting the right model for the asset store. The results of this applied research project will be crucial for the success of the smart asset store. With the participation of the intern in the design and implementation of the data core of the system, the company will benefit from both, the intern’s prior expertise in databases and distributed systems, as well as its capacity of research as a masters student.

Faculty Supervisor:

Dr. Eugene Fiume

Student:

Yeleiny Bonilla

Partner:

Side Effects Software

Discipline:

Computer science

Sector:

Information and communications technologies

University:

University of Toronto