This thesis considers the problem of scheduling autonomous vehicles at intersections. A new system is proposed which is more efficient and could replace the recently introduced Autonomous Intersection Management (AIM) model. The proposed system is bas . . .

Policy-Driven Data Centers (PDDCs) are data centers in which all Virtual Machine (VM) traffic must traverse a sequence of Middleboxes (MBs). These MB policies help guarantee a given level of security and performance for all applications hosted in the . . .

Today’s data-driven society has prompted the need for energy-efficient data collection via data-intensive sensor networks. Previous research assumed that the nodes in these networks willingly cooperate with each other when routing and storing data. Th . . .

Increased internet service usage places increased demand on data centers posing new problems such as degrading performance and increased security risks. Middleboxes such as load balancers and intrusion detection systems are one way of addressing the i . . .

This thesis studies the Load-Balanced Middlebox Assignment Problem (LBMAP), which minimizes the communication energy cost of VM pairs while satisfying their policy requirement as well as the capacity constraint that the middlebox placed on the switche . . .

This paper describes a new Genetic Programming method that leverages the benefits of Grammatical Evolution and high performance convergence of the bacterial conjugate operator. The new method replaces the standard Genetic Algorithm used in Grammatical . . .