Security and Policy Driven Computing

Security and Policy Driven Computing covers recent advances in security, storage, parallelization, and computing as well as applications. The author incorporates a wealth of analysis, including studies on intrusion detection and key management, computer storage policy, and transactional management. The book first describes multiple variables and index structure derivation for high dimensional data distribution and applies numeric methods to proposed search methods. It also focuses on discovering relations, logic, and knowledge for policy management. To manage performance, the text discusses contention management for transactional structures, buffer tuning, and test environments. It then illustrates search optimization using truncated functions with paralleled techniques. The final chapters present structures, recovery, message conflicts, and test coverage of quantum policies and explain methods of quantum protection for intrusion prevention. An overview of security and policy applications for systems and computing, this book explores the latest R&D, emerging technology, and state-of-the-art technical studies of security and policy issues. It also looks to future research and technologies that will propel the innovation of next-generation systems.

A Parallel Search Optimization Using an Adaptive State-Action Index Structure Introduction Significance of Research Problem Formulation Review of Literature Contribution Methodology Evaluation Experimental Study Discussion A Method of Policy Discovery for Storage and Data Management Introduction Problem AnalysisMethod of Policy DiscoveryPerformance Evaluation Conclusions Knowledge-Based Policy Discovery for Storage and Data Management IntroductionProblem Analysis Method of DiscoveryPerformance EvaluationConclusions Closure Stabilizing Read-Write Throughput of Transactional Memory for Contention Management IntroductionProblem Statement and Goal Brief Review of the LiteratureApproachBarriers and Issues Parallel Search Optimization for Storage Virtualization Introduction Significance of Research Problem Formulation Review of Literature Methodology Evaluation Experimental StudyDiscussion Finite Automata for Evaluating Testbed Resource Contention Introduction Problem Analysis Review of Literature Methodology Performance Evaluation Implementation Conclusion Adaptive Buffer Tuning for Data Intensive Algebraic Operations Introduction Significance of Work Problem Analysis Contribution Methodology Conclusion A Quantum Method of Representing Recurring Data Deduplication Policy States Introduction Problem FormulationReview of LiteratureMethodology Implementation Conclusion QAM—Quantum Availability Mechanics without Recovery for Storage and Data Management Introduction Problem FormulationReview of Possible SolutionsMethodology A Quantum Method with Unknown Future Tasks to Resolve Storage Message Conflicts Introduction Problem FormulationReview of Possible SolutionsMethodologyConclusion A Quantum Automatic Controlled Method for Storage Test Coverage Problem Statement Wave of Programs Methodology Protection Mechanics with a Quantum Operator for Anomaly Attacks Introduction Problem Statement and ObjectivesState-of-the-Art and Existing MethodologiesBarriers, Issues, and Open ProblemsMethodologyExamples in DetailsExperimental Results Comparison of Detection Methods, Algorithms, and ResultsConclusions and Future Work Index References appear at the end of each chapter.

Lei has hands-on experiencewith analysis and problem proofs. He has four patents granted and two patents filedin the U.S. patent office. Lei has been writing a book on Next Generation Enterprise System.