Exchanging of Situation Awareness information is extremely important for organizations in order to survive as part of the cyber domain. The situation Awareness is required for decision making and for an early warning of upcoming threats. Situation Awareness and the security information in the cyber domain differ from the kinetic domain. Because of that, Situation Awareness has different requirements and use cases, for example when considering time or geographical distances. There is always a risk when sharing security information due to the classified nature of the information. It might contain information of weaknesses or vulnerabilities of the organization, and if used wrongly it jeopardizes the continuity of the business or mission. The model introduced in this paper for creating information sharing topologies enables sharing of classified security related information between multiple organizations with the lowest possible risks levels.
This paper proposes a model to maximize revenue while serving customers with different Quality-of-Service (QoS) requirements. A provider's goal is to share resources between active customers to ensure all QoS requirements. At the same time, a provider is interested in maximizing the revenue. Since the amount of active users varies a provider functioning can be optimized by allocating different portions of resources. The proposed model is based on the Weighted Fair Queue policy, which is extended so that the usage-based revenue criterion can be used to dynamically adapt weights. The model is flexible in that different services are grouped into service classes and are given different performance characteristics. It guarantees the QoS requirements and maximizes the revenue by manipulating weights of the WFQ model. The simulation of the proposed model considers a single node with several service classes. It is shown that the total revenue can be significantly improved when compared to a non-adaptive approach.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.