Real-time Reproduction of Statistical Accurate Distributed System Workloads

Enquisite Software provides analytical services to corporate clients through the “mining” of data detailing how client customers interact with the clients’ Internet-point of presence. To facilitate this work, Enquisite actively collects a continuous stream of client interaction data which is stored in its repository, on which Enquisite clients perform on-demand queries for business actionable knowledge. In order to cost-effectively build the IT system required to support their business model, Enquisite needs to understand the statistical nature of the workloads which their IT system must be designed to process. Thus, this internship will develop the required statistical workload models through the analysis of the historical workload records held by Enquisite.

Faculty Supervisor:

Dr. Stephen Neville

Student:

Christopher Mueller

Partner:

Enquisite Software Inc.

Discipline:

Engineering

Sector:

Information and communications technologies

University:

University of Victoria