Assured cloud computing

Description

Explores themes that drive individual contributions, including design correctness, support for big data and analytics, monitoring and detection, network considerations, and performance - Synthesizes highly cited earlier work (on topics including DARE, trust mechanisms, and elastic graphs) as well as newer research findings on topics including R-Storm, and RAMP transactions - Addresses assured cloud computing concerns such as game theory, stream processing, storage, algorithms, workflow, scheduling, access control, formal analysis of safety, and streaming Marketing Description: IEEE Computer Society, the IEEE Reliability Society, and the IEEE Systems, Man, and Cybernetics Society--  Read more... Abstract: Explores themes that drive individual contributions, including design correctness, support for big data and analytics, monitoring and detection, network considerations, and performance - Synthesizes highly cited earlier work (on topics including DARE, trust mechanisms, and elastic graphs) as well as newer research findings on topics including R-Storm, and RAMP transactions - Addresses assured cloud computing concerns such as game theory, stream processing, storage, algorithms, workflow, scheduling, access control, formal analysis of safety, and streaming Marketing Description: IEEE Computer Society, the IEEE Reliability Society, and the IEEE Systems, Man, and Cybernetics Society Content: Assured Cloud Computing Table of Contents Preface Editors' Biographies List of Contributors Chapter 1: Introduction 1.1 Introduction 1.1.1 Mission-Critical Cloud Solutions for the Military 1.2 Overview of the Book References Chapter 2: Survivability: Design, Formal Modeling, and Validation of Cloud Storage Systems Using Maude 2.1 Introduction 2.1.1 State of the Art 2.1.2 Vision: Formal Methods for Cloud Storage Systems 2.1.3 The Rewriting Logic Framework 2.1.4 Summary: Using Formal Methods on Cloud Storage Systems 2.2 Apache Cassandra. 2.3 Formalizing, Analyzing, and Extending Google's Megastore2.3.1 Specifying Megastore 2.3.2 Analyzing Megastore 2.3.2.1 Megastore-CGC 2.4 RAMP Transaction Systems 2.5 Group Key Management via ZooKeeper 2.5.1 Zookeeper Background 2.5.2 System Design 2.5.3 Maude Model 2.5.4 Analysis and Discussion 2.6 How Amazon Web Services Uses Formal Methods 2.6.1 Use of Formal Methods 2.6.2 Outcomes and Experiences 2.6.3 Limitations 2.7 Related Work 2.8 Concluding Remarks 2.8.1 The Future Acknowledgments References. 4.5.1 Hypervisor Introspection4.5.1.1 VMI Monitor 4.5.1.2 VM Suspend Side-Channel 4.5.1.3 Limitations of Hypervisor Introspection 4.5.2 Evading VMI with Hypervisor Introspection 4.5.2.1 Insider Attack Model and Assumptions 4.5.2.2 Large File Transfer 4.5.3 Defenses against Hypervisor Introspection 4.5.3.1 Introducing Noise to VM Clocks 4.5.3.2 Scheduler-Based Defenses 4.5.3.3 Randomized Monitoring Interval 4.5.4 Summary 4.6 Identifying Compromised Users in Shared Computing Infrastructures 4.6.1 Target System and Security Data 4.6.1.1 Data and Alerts.