1,994 research outputs found
Distributed eventual leader election in the crash-recovery and general omission failure models.
102 p.Distributed applications are present in many aspects of everyday life. Banking, healthcare or transportation are examples of such applications. These applications are built on top of distributed systems. Roughly speaking, a distributed system is composed of a set of processes that collaborate among them to achieve a common goal. When building such systems, designers have to cope with several issues, such as different synchrony assumptions and failure occurrence. Distributed systems must ensure that the delivered service is trustworthy.Agreement problems compose a fundamental class of problems in distributed systems. All agreement problems follow the same pattern: all processes must agree on some common decision. Most of the agreement problems can be considered as a particular instance of the Consensus problem. Hence, they can be solved by reduction to consensus. However, a fundamental impossibility result, namely (FLP), states that in an asynchronous distributed system it is impossible to achieve consensus deterministically when at least one process may fail. A way to circumvent this obstacle is by using unreliable failure detectors. A failure detector allows to encapsulate synchrony assumptions of the system, providing (possibly incorrect) information about process failures. A particular failure detector, called Omega, has been shown to be the weakest failure detector for solving consensus with a majority of correct processes. Informally, Omega lies on providing an eventual leader election mechanism
Models of leader elections and their applications
New research about cyber-physical systems is rapidly changing the way we think about critical infrastructures such as the power grid. Changing requirements for the generation, storage, and availability of power are all driving the development of the smart-grid. Many smart-grid projects disperse power generation across a wide area and control devices with a distributed system. However, in a distributed system, the state of processes is hard to determine due to isolation of memory. By using information flow security models, we reason about a process\u27s beliefs of the system state in a distributed system. Information flow analysis aided in the creation of Markov models for the expected behavior of a cyber controller in a smart-grid system using a communication network with omission faults. The models were used as part of an analysis of the distributed system behavior when there are communication faults. With insight gained from these models, existing congestion management techniques were extended to create a feedback mechanism, allowing the cyber-physical system to better react to issues in the communication network --Abstract, page iii
Contributions on agreement in dynamic distributed systems
139 p.This Ph.D. thesis studies the agreement problem in dynamic distributed systems by integrating both the classical fault-tolerance perspective and the more recent formalism based on evolving graphs. First, we developed a common framework that allows to analyze and compare models of dynamic distributed systems for eventual leader election. The framework extends a previous proposal by Baldoni et al. by including new dimensions and levels of dynamicity. Also, we extend the Time-Varying Graph (TVG) formalism by introducing the necessary timeliness assumptions and the minimal conditions to solve agreement problems. We provide a hierarchy of time-bounded, TVG-based, connectivity classes with increasingly stronger assumptions and specify an implementation of Terminating Reliable Broadcast for each class. Then we define an Omega failure detector, W, for the eventual leader election in dynamic distributed systems, together with a system model, , which is compatible with the timebounded TVG classes. We implement an algorithm that satisfy the properties of W in M. According to our common framework, M results to be weaker than the previous proposed dynamic distributed system models for eventual leader election. Additionally we use simulations to illustrate this fact and show that our leader election algorithm tolerates more general (i.e., dynamic) behaviors, and hence it is of application in a wider range of practical scenarios at the cost of a moderate overhead on stabilization times
Byzantine fault-tolerant agreement protocols for wireless Ad hoc networks
Tese de doutoramento, Informática (Ciências da Computação), Universidade de Lisboa, Faculdade de Ciências, 2010.The thesis investigates the problem of fault- and intrusion-tolerant consensus
in resource-constrained wireless ad hoc networks. This is a fundamental
problem in distributed computing because it abstracts the need
to coordinate activities among various nodes. It has been shown to be a
building block for several other important distributed computing problems
like state-machine replication and atomic broadcast.
The thesis begins by making a thorough performance assessment of existing
intrusion-tolerant consensus protocols, which shows that the performance
bottlenecks of current solutions are in part related to their system
modeling assumptions. Based on these results, the communication failure
model is identified as a model that simultaneously captures the reality
of wireless ad hoc networks and allows the design of efficient protocols.
Unfortunately, the model is subject to an impossibility result stating that
there is no deterministic algorithm that allows n nodes to reach agreement
if more than n2 omission transmission failures can occur in a communication
step. This result is valid even under strict timing assumptions (i.e.,
a synchronous system).
The thesis applies randomization techniques in increasingly weaker variants
of this model, until an efficient intrusion-tolerant consensus protocol
is achieved. The first variant simplifies the problem by restricting the
number of nodes that may be at the source of a transmission failure at
each communication step. An algorithm is designed that tolerates f dynamic
nodes at the source of faulty transmissions in a system with a total
of n 3f + 1 nodes.
The second variant imposes no restrictions on the pattern of transmission
failures. The proposed algorithm effectively circumvents the Santoro-
Widmayer impossibility result for the first time. It allows k out of n nodes
to decide despite dn
2 e(nk)+k2 omission failures per communication
step. This algorithm also has the interesting property of guaranteeing
safety during arbitrary periods of unrestricted message loss.
The final variant shares the same properties of the previous one, but relaxes
the model in the sense that the system is asynchronous and that a
static subset of nodes may be malicious. The obtained algorithm, called
Turquois, admits f < n
3 malicious nodes, and ensures progress in communication
steps where dnf
2 e(n k f) + k 2. The algorithm is
subject to a comparative performance evaluation against other intrusiontolerant
protocols. The results show that, as the system scales, Turquois
outperforms the other protocols by more than an order of magnitude.Esta tese investiga o problema do consenso tolerante a faltas acidentais
e maliciosas em redes ad hoc sem fios. Trata-se de um problema fundamental
que captura a essência da coordenação em actividades envolvendo
vários nós de um sistema, sendo um bloco construtor de outros importantes
problemas dos sistemas distribuídos como a replicação de máquina
de estados ou a difusão atómica.
A tese começa por efectuar uma avaliação de desempenho a protocolos
tolerantes a intrusões já existentes na literatura. Os resultados mostram
que as limitações de desempenho das soluções existentes estão em parte
relacionadas com o seu modelo de sistema. Baseado nestes resultados, é
identificado o modelo de falhas de comunicação como um modelo que simultaneamente
permite capturar o ambiente das redes ad hoc sem fios e
projectar protocolos eficientes. Todavia, o modelo é restrito por um resultado
de impossibilidade que afirma não existir algoritmo algum que permita
a n nós chegaram a acordo num sistema que admita mais do que n2
transmissões omissas num dado passo de comunicação. Este resultado é
válido mesmo sob fortes hipóteses temporais (i.e., em sistemas síncronos)
A tese aplica técnicas de aleatoriedade em variantes progressivamente
mais fracas do modelo até ser alcançado um protocolo eficiente e tolerante
a intrusões. A primeira variante do modelo, de forma a simplificar
o problema, restringe o número de nós que estão na origem de transmissões
faltosas. É apresentado um algoritmo que tolera f nós dinâmicos na
origem de transmissões faltosas em sistemas com um total de n 3f + 1
nós.
A segunda variante do modelo não impõe quaisquer restrições no padrão
de transmissões faltosas. É apresentado um algoritmo que contorna efectivamente
o resultado de impossibilidade Santoro-Widmayer pela primeira
vez e que permite a k de n nós efectuarem progresso nos passos de comunicação
em que o número de transmissões omissas seja dn
2 e(n
k) + k 2. O algoritmo possui ainda a interessante propriedade de tolerar
períodos arbitrários em que o número de transmissões omissas seja
superior a .
A última variante do modelo partilha das mesmas características da variante
anterior, mas com pressupostos mais fracos sobre o sistema. Em particular,
assume-se que o sistema é assíncrono e que um subconjunto estático
dos nós pode ser malicioso. O algoritmo apresentado, denominado
Turquois, admite f < n
3 nós maliciosos e assegura progresso nos passos
de comunicação em que dnf
2 e(n k f) + k 2. O algoritmo é
sujeito a uma análise de desempenho comparativa com outros protocolos
na literatura. Os resultados demonstram que, à medida que o número de
nós no sistema aumenta, o desempenho do protocolo Turquois ultrapassa
os restantes em mais do que uma ordem de magnitude.FC
Analysis of the Error Propagation Phenomenon in Network Structures
The analysis of error propagation is of fundamental importance to assure safe operation and management of abnormal situations in any distributed information system. In this paper, the quantitative and qualitative methods are proposed to analyze possible error propagation scenarios based on different topologies, error types and probability distributions. The most interesting from our point of view is the course of error propagation in simple structures that are contained in more complex ones. These complex structures, which have attracted the attention of scientists for many decades, are traditionally analyzed with the use of formalisms from graph theory. Certain types of graphs are often used to model naturally occurring complex structures, such as social networks. Graph-theoretic approach proved successful when applied to social networks and other naturally occurring complex networks. The research was verified based on the experiments conducted on simulation model. The results provide some ideas of robustness -- the knowledge how to design the most error resistant architectures in complex environments
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