The New Age of Russia. Occult and Esoteric Dimensions

Occult and esoteric ideas became deeply embedded in Russian culture long before the Bolshevik Revolution. After the Revolution, occult ideas were manifested in literature, the humanities and the sciences as well. Although the Soviet government discouraged and eventually prohibited metaphysical speculation, that same government used the Occult for its own purposes and even funded research on it. In Stalin's time, occultism disappeared from public view, but it revived clandestinely in the post-Stalin Thaw and became a truly popular phenomenon in post-Soviet Russia. From cosmism to shamanism, from space exploration to Kabbalah, from neo-paganism to science fiction, the field is wide. Everyone interested in the occult and esoteric will appreciate this book, because it documents their continued importance in Russia and raises new issues for research and discussion. www.new-age-of-russia.co

An infrastructure service recommendation system for cloud applications with real-time QoS requirement constraints

The proliferation of cloud computing has revolutionized the hosting and delivery of Internet-based application services. However, with the constant launch of new cloud services and capabilities almost every month by both big (e.g., Amazon Web Service and Microsoft Azure) and small companies (e.g., Rackspace and Ninefold), decision makers (e.g., application developers and chief information officers) are likely to be overwhelmed by choices available. The decision-making problem is further complicated due to heterogeneous service configurations and application provisioning QoS constraints. To address this hard challenge, in our previous work, we developed a semiautomated, extensible, and ontology-based approach to infrastructure service discovery and selection only based on design-time constraints (e.g., the renting cost, the data center location, the service feature, etc.). In this paper, we extend our approach to include the real-time (run-time) QoS (the end-to-end message latency and the end-to-end message throughput) in the decision-making process. The hosting of next-generation applications in the domain of online interactive gaming, large-scale sensor analytics, and real-time mobile applications on cloud services necessitates the optimization of such real-time QoS constraints for meeting service-level agreements. To this end, we present a real-time QoS-aware multicriteria decision-making technique that builds over the well-known analytic hierarchy process method. The proposed technique is applicable to selecting Infrastructure as a Service (IaaS) cloud offers, and it allows users to define multiple design-time and real-time QoS constraints or requirements. These requirements are then matched against our knowledge base to compute the possible best fit combinations of cloud services at the IaaS layer. We conducted extensive experiments to prove the feasibility of our approach