# CSE5313 Computer Vision (Lecture 16: Exam Review) ## Exam Review ### Information flow graph Parameters: - $n$ is the number of nodes in the initial system (before any node leaves/crashes). - $k$ is the number of nodes required to reconstruct the file $k$. - $d$ is the number of nodes required to repair a failed node. - $\alpha$ is the storage at each node. - $\beta$ is the edge capacity **for repair**. - $B$ is the file size. #### Graph construction Source: System admin. Sink: Data collector. Nodes: Storage servers. Edges: Represents transmission of information. (Number of $\mathbb{F}_q$ elements is weight.) Main observation: - $k$ elements (number of servers required to reconstruct the file) The message size is $B$. from $\mathbb{F}_q$ must "flow" from the source (system admin) to the sink (data collector). - Any cut $(U,\overline{U})$ which separates source from sink must have capacity at least $k$. ### Bounds for local recoverable codes #### Turan's Lemma Let $G$ be a graph with $n$ vertices. Then there exists an induced directed acyclic subgraph (DAG) of $G$ on at least $\frac{n}{1+\operatorname{avg}_i(d^{out}_i)}$ nodes, where $d^{out}_i$ is the out-degree of vertex $i$. #### Bound 2 Consider the induced acyclic graph $G_U$ on $U$ nodes. By the definition of $r$-locally recoverable code, each leaf node in $G_U$ must be determined by other nodes in $G\setminus G_U$, so we can safely remove all leaf nodes in $G_U$ and the remaining graph is still a DAG. Let $N\subseteq [n]\setminus U$ be the set of neighbors of $U$ in $G$. $|N|\leq r|U|\leq k-1$. Complete $n$ to be of the size $k-1$ by adding elements not in $U$. $|C_N|\leq q^{k-1}$ Also $|N\cup U'|=k-1+\lfloor\frac{k-1}{r}\rfloor$ All nodes in $G_U$ can be recovered from nodes in $N$. So $|C_{N\cup U'}|=|C_N|\leq q^{k-1}$. Therefore, $\max\{|I|:C_I