Veca: A High-Performance Consensus Algorithm for State Machine Replication

2019 ◽  
pp. 452-463
Author(s):  
Xiangguang Yan ◽  
Yun Wang
Keyword(s):  
High Performance ◽  
State Machine ◽  
Consensus Algorithm ◽  
State Machine Replication

Building Secure and Dependable Online Gaming Applications

2011 ◽  
pp. 428-432
Author(s):  
Bo Chen ◽  
Wenbing Zhao
Keyword(s):  
Online Gaming ◽  
State Machine ◽  
Consensus Algorithm ◽  
Random Numbers ◽  
Pseudorandom Number Generator ◽  
Signature Scheme ◽  
Byzantine Fault Tolerance ◽  
Online Systems ◽  
Online Poker ◽  
State Machine Replication

Online gaming has become a multibillion-dollar industry. The security and dependability of such games are critical for both the game providers and honest game players alike. Essential to all such applications is the use of random numbers; for example, random numbers are needed to shuffle cards. For obvious reasons, if the hands can be predicated, players could gain unfair advantages. The nature of this type of applications poses great challenges in increasing their availability while preserving their integrity (Arkin, Hill, Marks, Scjmod, & Walls, 1999; Viega & McGraw, 2002; Young & Yung, 2004). Byzantine fault tolerance (BFT; Castro & Liskov, 2002) is a well-known technique to tolerate various malicious attacks to online systems and it often involves state machine replication (Schneider, 1990). However, state machine replication assumes that all replicas are deterministic, which is not the case for online gaming applications. In this article, we elaborate how we address this dilemma using an online poker application that uses a pseudorandom number generator (PRNG) to shuffle the cards as an illustrating example. We propose two alternative strategies to cope with the intrinsic application nondeterminism. One depends on a Byzantine consensus algorithm and the other depends on a practical threshold signature scheme. Furthermore, we thoroughly discuss the strength and weaknesses of these two schemes.

scholarly journals State-machine replication for planet-scale systems

2020 ◽  
Author(s):  
Vitor Enes ◽  
Carlos Baquero ◽  
Tuanir França Rezende ◽  
Alexey Gotsman ◽  
Matthieu Perrin ◽  
...  
Keyword(s):  
State Machine ◽  
State Machine Replication

Checkpointing in Parallel State-Machine Replication

2014 ◽  
pp. 123-138 ◽  
Author(s):  
Odorico M. Mendizabal ◽  
Parisa Jalili Marandi ◽  
Fernando Luís Dotti ◽  
Fernando Pedone
Keyword(s):  
State Machine ◽  
State Machine Replication

scholarly journals A fabric architecture towards block chain application using hyper ledger

2018 ◽  
Vol 7 (2.20) ◽  
pp. 83 ◽  
Author(s):  
Md Haseeb ◽  
K Raja Sekhar ◽  
Y V. Spandana ◽  
M Syam
Keyword(s):  
Business Models ◽  
State Machine ◽  
The State ◽  
Distributed Ledger ◽  
Block Chain ◽  
Fabric Architecture ◽  
State Machine Replication ◽  
Main Factor

Block chain is a trust which can be best understood by the state machine replication, It is decentralized distributed ledger which is along all peers in the network connected through nodes over Internet. Every Node in the chain have equal stake and also the main factor is every node which have greater CPU cycles has a chance to operate node by spending those CPU cycles and also show Proof Of Work. Hence when the block chain is used in Business Models it loses its Private transactions and Confidential Contracts.  

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