We review recent progress made towards two types of holographic data storage systems. The first offers the potential for simultaneous search of an entire database by performing multiple optical correlations between stored data pages and a search argument [1,2]. This content–addressable retrieval produces one analog correlation score for each stored volume hologram. We review work we have perfor...

Though there have been substantial innovations in both file systems and storage systems over the past twenty-five years, the interface with which they communicate has remained simple and abstract. The storage stack that exists today was not developed in a coherent manner; rather, it evolved over time due to the flexible nature of this abstraction. The result is an information gap: the file syst...

The exposure time and the time between successive exposures were varied in a picture recognition task. Exposure times of .2, .5, 1.0, 2.0, and 4.0 sec. were orthogonally combined with between-slide durations of 1.0, 2.0, and 4.0 sec. Confidence ratings of recognition increased monotonically with exposure time but were not affected by the amount of time between slides. These results suggest ther...

What is the limit of information storage capacity of discrete spin systems? To answer this question, we study classical error-correcting codes which can be physically realized as the energy ground space of gapped local Hamiltonians. For discrete spin systems on a D-dimensional lattice governed by local frustration-free Hamiltonians, the following bound is known to hold; kd 1/D ≤ O(n) where k is...

Spatial Data warehouses pose many challenging requirements with respect to the design of the data model due to the nature of analytical operations and the nature of the views to be maintained by the spatial warehouse. The first challenge is due to the multi-dimensional nature of each dimension itself. In a traditional data warehouse the various dimensions contributing to the warehouse data are ...

A major puzzle in neural networks is understanding the information encoding principles that implement the functions of the brain systems. Population coding in neurons and plastic changes in synapses are two important subjects in attempts to explore such principles. This forms the basis of modern theory of neuroscience concerning self-organization and associative memory. Here we wish to suggest ...

Cells store information in DNA and in stable programs of gene expression, which thereby implement forms of long-term cellular memory. Cells must also possess short-term forms of information storage, implemented posttranslationally, to transduce and interpret external signals. CaMKII, for instance, is thought to implement a one-bit (bistable) short-term memory required for learning at post-synap...

Network monitoring has became a significant part of network management. Each environment and type of network have their specific, different needs. To allow network traffic monitoring in various environments, a necessity of flexible approach thus grows. The current generation of flow collectors provides only a limited flexibility, mainly due to limits of their data storage formats. Moreover, it ...

Spatial aggregation of animal groups give individuals many benefits that they would not be able to obtain otherwise. One of the key questions in the study of these animal groups, or “swarms”, concerns the way in which information is propagated through the group. In this paper, we examine this propagation using an information-theoretic framework of distributed computation. Swarm dynamics is inte...

Scalable distributed semantic storage infrastructures are hard to realize. We propose the usage of principles of selforganization for the storage and retrieval of RDF triples. We use a biology-inspired algorithm for clustering of triples based on a purely syntactical similarity measure.