Intro
Foreword
Preface
Organization
Contents
Blockchains and Cryptocurrencies
An Evaluation of Blockchain Application Requirements and Their Satisfaction in Hyperledger Fabric
1 Introduction
2 Related Work
3 Background
4 Methodology
5 Requirements Analysis
5.1 Electronic Voting (EVote)
5.2 Supply Chains (IBM Food Trust and GoDirect Trade)
5.3 Healthcare (Change Healthcare)
5.4 Banking (VISA B2B Connect)
6 How HLF Meets Enterprise Requirements
6.1 Resilience Requirements
6.2 Performance Requirements
7 Performance Evaluation

7.1 Multi Ordering Services Performance
7.2 Mixed Workloads
7.3 Discussion
8 Conclusion
References
Using SGX for Meta-Transactions Support in Ethereum DApps
1 Introduction
2 Background
3 Basic Solution Design
4 Discussion and Open Directions
5 Conclusion
References
Understanding Cryptocoins Trends Correlations
1 Introduction
2 Background
3 Preliminary Evaluation
4 Related Work
5 Conclusion and Future Work
References
Rebop: Reputation-Based Incentives in Committee-Based Blockchains
1 Introduction
2 Committee-Based Blockchains

3 System and Protocol Model
4 Attacks and Incentives
5 Rebop: Reputation-Based Reward Opportunity
6 Incentive Analysis
6.1 Baseline Analysis
6.2 Collusion Resistance of Rebop
6.3 Preventing Byzantine Attacks
7 Simulation Results
7.1 Resistance Against Colluding Processes
7.2 Byzantine Resistance
8 Related Works
9 Conclusion
References
Fault Tolerance
Lesser Evil: Embracing Failure to Protect Overall System Availability
1 Introduction
2 Problem Statement
3 Erlang
4 Lesser Evil
4.1 Entities
4.2 Badness
4.3 Strategy

4.4 Compensating Actions
4.5 Architecture
4.6 Discussion
4.7 Note on Applicability
5 Evaluation
5.1 Test Subject
5.2 Configuration
5.3 Experiments
5.4 Results
5.5 Conclusion and Limitations
5.6 Threats to Validity
6 Related Work
7 Conclusion
References
Failure Root Cause Analysis for Microservices, Explained
1 Introduction
2 Motivating Scenario
3 Declarative Failure Root Cause Analysis
4 Prototype Implementation
5 Evaluation
6 Related Work
7 Conclusions
References
Trusted Execution, Deep Learning, and IoT

Attestation Mechanisms for Trusted Execution Environments Demystified
1 Introduction
2 Attestation
2.1 Local Attestation
2.2 Remote Attestation
2.3 Mutual Attestation
3 Issuing Attestations Using TEEs
3.1 TEE Cornerstone Features
3.2 Trusted Environments and Remote Attestation
3.3 Intel SGX
3.4 Arm TrustZone Architectures
3.5 AMD SEV
3.6 RISC-V Architectures
4 Future Work
5 Conclusion
References
Accelerate Model Parallel Deep Learning Training Using Effective Graph Traversal Order in Device Placement
1 Introduction
2 Preliminaries