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Software Defined Networking (SDN) is increasingly being used in data centers as well as enterprise networks. In an environment that has strict compliance requirements, such as HIPAA compliance, a critical role for an SDN controller is to route all data packets while considering data privacy preservation and compliance-preservation. In this paper, we address this problem by proposing a routing protocol...
Deploying applications in containers has several advantages, such as rapid development, portability across different machines, and simplified maintenance. In a cloud computing environment, container scheduling algorithms coordinate with different aspects of physical systems, such as memory allocation for tasks of different users. The scheduled containers on a host may process sensitive data. For instance,...
The problem of Learning from Demonstration is targeted at learning to perform tasks based on observed examples. One approach to Learning from Demonstration is Inverse Reinforcement Learning, in which actions are observed to infer rewards. This work combines a feature-based state evaluation approach to Inverse Reinforcement Learning with neuroevolution, a paradigm for modifying neural networks based...
Feature selection is a form of both data reduction and attribute prioritization. It is modeled in existing work as a game between agents (buyers and sellers of information) in a corporate environment where information is accessible at a price. However, the interactions are typically moderated by a trusted third-party agent. Extending that work, we observe behavior in an unmoderated environment, integrated...
Agent-based modeling is a paradigm of modeling dynamic systems of interacting agents that are individually governed by specified behavioral rules. Training a model of such agents to produce an emergent behavior by specification of the emergent (as opposed to agent) behavior is easier from a demonstration perspective. While many approaches involve manual behavior specification via code or reliance...
Service Assured task execution is an exemplary need for Enterprise Task Crowdsourcing, even when crowdsourcing tasks on open and public crowdosourcing platforms, which are characteristic of non-committed and discretionary task execution by crowd workers. Service Assurance (SA) has broader semantics than SLA fulfillment in the context of enterprise task crowdsourcing, as explained in our previous work...
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