Theses and Dissertations

Issuing Body

Mississippi State University


Khan, Samee U.

Committee Member

Luo, Chaomin

Committee Member

Luo, Yu

Date of Degree


Document Type

Graduate Thesis - Open Access


Electrical and Computer Engineering

Degree Name

Master of Science (M.S.)


James Worth Bagley College of Engineering


Department of Electrical and Computer Engineering


IoT enables profitable communication between sensor/actuator devices and the cloud. Slow network causing Edge data to lack Cloud analytics hinders real-time analytics adoption. VRebalance solves priority-based workload performance for stream processing at the Edge. BO is used in VRebalance to prioritize workloads and find optimal resource configurations for efficient resource management. Apache Storm platform was used with RIoTBench IoT benchmark tool for real-time stream processing. Tools were used to evaluate VRebalance. Study shows VRebalance is more effective than traditional methods, meeting SLO targets despite system changes. VRebalance decreased SLO violation rates by almost 30% for static priority-based workloads and 52.2% for dynamic priority-based workloads compared to hill climbing algorithm. Using VRebalance decreased SLO violations by 66.1% compared to Apache Storm's default allocation.