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@article{ibaraki1993theory,
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title={A theory of coteries: Mutual exclusion in distributed systems},
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author={Ibaraki, Toshihide and Kameda, Tiko},
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journal={IEEE Transactions on Parallel and Distributed Systems},
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volume={4},
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number={7},
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pages={779--794},
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year={1993},
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publisher={IEEE}
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}
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@article{naor1998load,
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title={The load, capacity, and availability of quorum systems},
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author={Naor, Moni and Wool, Avishai},
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publisher={SIAM}
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}
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@article{neilsen1991general,
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title={A general method to define quorums},
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author={Neilsen, Mitchell and Mizuno, Masaaki and Raynal, Michel},
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year={1991}
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}
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@article{vukolic2013origin,
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title={The origin of quorum systems},
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author={Vukoli{\'c}, Marko and others},
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\section{Quorum Systems}
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These definitions are taken from \cite{naor1998load} and
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\cite{vukolic2013origin}.
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%
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Given a set $X = \set{x_1, \ldots, x_n}$, a \defword{quorum system} over $X$ is
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a set $Q = \set{q_1, \ldots, q_m}$ of subsets of $X$, called \defword{quorums},
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such that every pair of quorums intersect. That is, for every $q_1, q_2 \in
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Q$, $q_1 \cap q_2 \neq \emptyset$.
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%
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A quorum system $Q$ is a \defword{coterie} if there does not exist quorums
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$q_1, q_2 \in Q$ such that $q_1 \subset q_2$. In other words, a coterie is a
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quorum system that does not contain some quorum $q_1$ that is a strict subset
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of some other quorum $q_2$.
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%
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Let $P, Q$ be two quorum systems over the same set $X$. $P$ \defword{dominates}
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$Q$, denoted $P > Q$, if $P \neq Q$ and for every $q \in Q$, there exists some
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$p \in P$ such that $p \subseteq q$. A quorum system $Q$ is \defword{dominated}
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if there exists some quorum system $P$ that dominates it.
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Let $P, Q$ be two coteries over the same set $X$. $P$ \defword{dominates} $Q$,
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denoted $P > Q$, if $P \neq Q$ and for every $q \in Q$, there exists some $p
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\in P$ such that $p \subseteq q$. A coterie $Q$ is \defword{dominated} if there
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exists some coterie $P$ that dominates it.
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We can associate every quorum system $Q$ with a monotone boolean function
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$f_Q$. For example, the majority quorum system $Q = \set{\set{a, b}, \set{b,
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c}, \set{a, c}}$ corresponds to the function $f_Q = ab + bc + ac$. The prime
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implicants of the boolean function correspond to the minimal sets of the quorum
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system. We say $f \leq g$ if for every $\vec{x}$, $f(\vec{x}) \implies
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g(\vec{x})$. In other words, $f \leq g$ if $\setst{\vec{x}}{g(\vec{x})}
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\subseteq \setst{\vec{x}}{f(\vec{x})}$. Consider two quorum systems $Q_1$ and
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$Q_2$, $Q_1$ dominates $Q_2$ if and only if $f_{Q_2} < f_{Q_1}$.
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\begin{example}
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Let $P$ be the majority quorum system over the set $X = \set{a, b, c}$. That
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is, $P = \set{\set{a, b}, \set{a, c}, \set{b, c}}$. Let $Q = \set{\set{a, b,
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c}}$. Note that both quorum systems are coteries. $P$ dominates $Q$. To see
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this, we first confirm that $P \neq Q$. Next, we consider every $q \in Q$ and
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find a corresponding $p \in P$ where $p \subseteq q$. Here, we only have one
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choice for $q$ (i.e. $q = \set{a, b, c}$), and for every $p \in P$, $p
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\subseteq q$.
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\end{example}
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There is an intuitive way to think about non-dominated coteries. A coterie $Q$
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is non-dominated if (1) removing any element from any quorum would make $Q$ no
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longer a coterie and (2) there are no other quorums that we can add to $Q$
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while preserving the fact that $Q$ is a coterie. Here's why. (1) Assume for
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contradiction that we remove some element from some quorum in $Q$ to
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form a new coterie $P$. $P$ dominates $Q$ in the obvious way, but $Q$ is
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non-dominated. (2) Assume for contradiction that we add some quorum to $Q$ to
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form a new coterie $P$. Again, $P$ dominates $Q$ in the obvious way, but $Q$ is
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non-dominated. Intuitively, a non-dominated coterie is a maximal coterie (we
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cannot add any more quorums) with minimal quorums (we cannot remove any
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elements from any quorums).
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\NOTE[michael]{%
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I think domination will be an important property for recursive quorum
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systems. I think there are some quorum systems that we cannot form as a
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recursive quorum system, but we can form a recursive quorum system that
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dominates it. The definition of domination that I found is only defined on
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coteries. Can we define this without coteries? I think so, but we have to
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double check.
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}
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\newcommand{\dual}[1]{#1^d}
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Let the dual $\dual{f}$ of $f$ be $\dual{f}(x) = \bar{f}(\bar{x})$. $\dual{f}$
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is the function we get if we swap and with or. Note that $\dual{f}$ corresponds
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to the sets that intersect every set in $f$. We say a monotone function $f$
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is \defword{dual-minor} if $f \leq \dual{f}$, \defword{dual-major} if $f \geq
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\dual{f}$, and \defword{self-dual} if $f = \dual{f}$. A function $f$
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corresponds to a quorum system if and only if $f$ is dual-minor. A quorum
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system $Q$ is non-dominated if and only if $f_Q$ is self-dual. Every
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non-dominated coterie can be represented as a composition of the simple
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majority function (with duplicates). Every coterie can be represented by a
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composition of and, or, and majority. \cite{ibaraki1993theory} also talks about
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when a function can be decomposed without duplicates as well as other things
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involving decomposition. \cite{neilsen1991general} talks about composition as
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well, and even includes examples for things like grids and trees.
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Let $\sigma: Q \to [0, 1]$ be a discrete probability distribution over the
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quorums of $Q$ (i.e., $\sum_{q \in Q} \sigma(q) = 1$). We call $\sigma$ a
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which is optimal.
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\end{example}
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\cite{naor1998load} prove that if a quorum system dominates another, it has
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lower or equal load. This shows that there always is a non-dominated coterie
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that has the lowest possible load. If we're trying to optimize for load, this
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tells us that we limit ourselves to non-dominated coteries.
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The \defword{resilience} or \defword{fault tolerance} of a quorum system $Q$ is
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the largest number $f$ such that for every subset $F \subseteq X$ with $|F| =
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f$, there still exists some quorum $q \in Q$ such that $q \cap F = \emptyset$.
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