X-Git-Url: http://www2.svjatoslav.eu/gitweb/?a=blobdiff_plain;f=doc%2Findex.html;h=584f5d0385e7d2a791726ea5f8b81907780eabad;hb=058fc98562d8714f5ffcdb89c50f685b474c61fc;hp=cc7cce511bd10eec26e31452391debda615c27db;hpb=2316187f481ff4854fd93e381e6b1c802cd5bac0;p=sixth-data.git diff --git a/doc/index.html b/doc/index.html index cc7cce5..584f5d0 100644 --- a/doc/index.html +++ b/doc/index.html @@ -1,383 +1,481 @@ - - + + + -Sixth - system for data storage, computation, exploration and interaction - - - - - - - -" - - - + + + + + -
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Sixth - system for data storage, computation, exploration and interaction

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1.1. Source code

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  • I don't like to convert data between persistent database and runtime -objects for every transaction. How about creating united -database/computation engine instead to: +
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    2. Vision / goal

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    +Provide hackable, versioned, optimized, distributed, geometrical, +arbitrary dimensional (hypercube based) data storage and computation +engine (as inspired by the brain) for general purpose visual computing +environment called Sixth. +

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    +Because Lisp is hackable self defined programmable programming +language it would be used to provide imperative programming support. +

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    3. Inspiration

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    • Eliminate constant moving and converting of data between 2 systems. -
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    • Abstract away difference between RAM VS persistent storage. Let -the system decide at runtime which data to keep in what kind of -memory. -
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  • see also: OLAP cube.
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    1.1 Inspiration

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    3.1. Brain

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  • Even more awesome is that brain appears to operate and is wired as +arbitrary/variable dimensional structure: +https://singularityhub.com/2017/06/21/is-there-a-multidimensional-mathematical-world-hidden-in-the-brains-computation/
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  • Git (version control system) +
  • On top of this, this multidimensional space that brain represents +has dynamic/variable resolution/density: -
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  • https://www.quantamagazine.org/goals-and-rewards-redraw-the-brains-map-of-the-world-20190328
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  • Such properties allow parallel Geometrical computation and +beautifully fits CM-1 Connection Machine architecture (for extra +hardware accelerated solution).
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    1.2 Solution (the big idea)

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    3.2. CM-1 Connection Machine

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    -I see 4D data structure. +https://en.wikipedia.org/wiki/Connection_Machine

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    data model.png +

    +Massively parallel (thousands of CPUs) connected via +machine's internal 12-dimensional hypercube network allows to +efficiently simulate arbitrary dimensional hypercube and network +topology between computational units. So that when we are +solving/simulating for example 5 dimensional problem, we can arrange +computational units into virtual 5D network. See: +http://www.mission-base.com/tamiko/theory/cm_txts/di-ch2.html

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    -Dimensions: +we can pre-distribute data across computation units and perform +parallel geometrical computation.

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    4. Reasons for hypercube as a so called first class citizen

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    • List of all the objecs in the system (rows). -
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    • List of all declared unique object fields (columns). -
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    • List of all historical transactions/commits/versions (think of -sheets of paper). -
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    • List of all concurrently running branches/threads. Branches can -appear and merge over time as needed. -
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    • (Every cell is concrete field value within an object) -
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    • Hypercube is quite general purpose data structure that naturally +encapsulates wide variety data and problems.
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    • Nicely captures apparent properties of the brain.
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    • Naturally supports distributed and parallel geometrical data storage +and computation.
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    • Dedicated hardware like CM-1 can be built around hypercube concept +that results in data, computation process and hardware, all +beautifully fitting together while complementing each other +strengths.
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    • Hypercube stored data (and computation process) has geometry by its +nature and should fit nicely with "3D first" user interface ideology +of the parent Sixth project.
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    5. Geometrical computation idea

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    5.1. Distributed computation and data storage

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    +Lots of problems can be translated to geometry (use any shapes and as +many dimensions as you need). Solution(s) to such problems could be +then found via geometrical search/comparison/lookup results. As a +bonus, such geometrical data storage AND computation can be +naturally made in parallel and distributed. +

    -Partitioning/clustering: +Learning means building/updating/re-balancing the model (the hard +part). Question answering is making (relatively simple) lookups +(geometrical queries) against the model. +

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    5.2. Mapping hypercube to object-oriented model and relational database

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    +Object oriented programming is inspired by the way human mind +operates. It allows programmer to express ideas to computer in a more +human-like terms.

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    +It is actually also possible to map object model and relational +database to geometrical hyperspace: +

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    • Why not to partition/(load balance) as required across networked -physical computers along arbitrary dimension(s) declared above ? -
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    • Object or database table row is a point in hypercube arbitrary +dimensional space. Each object member variable or database table +column can be mapped to its own dimension in hypercube. That is: if +class declares 4 variables for an object, then corresponding object +can be stored as a single point inside 4 dimensional +hypercube. Variable values translate to point coordinates in that +hypercube. That is: numbers and string can be translated to linear +value that can be used as a coordinate along particular dimension.
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    • Each object class or database table declares its own hypercube that +contain instances (objects) of that class or rows of a table.
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    5.3. Mapping entity relations in hypercube

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    -Indexing (for fast searching): +Consider we want to create database of:

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    • Why not to index along arbitrary dimensions (as required) ? -
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    • Books.
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    • Authors.
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    • Effort: Amount of time contributed by every author to every book +that he/she wrote.

    -Further optimizations: +Information above can be represented as 3D cube where dimensions are:

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    • In current early stage, trying to focus on minimum possible set of -features that would provide maximum possible set of power/benefit :) -
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    • Once featres are locked. Anything can be optimised. Optimization for -size (deduplication) can be solved using Git style content -addressible storage mechanism. -
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    • X: Book
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    • Y: Author
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    • Z: Effort
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    +Points in that cube would nicely capture many to many relations +between authors and the books. +

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    2 Current status

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    6. Current status

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    • More or less defined Vision / goal.
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    • Collected some inspiring ideas.
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    • Implemented very simple persistent key-value map. -
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      • Long term goal is to use it as a backing storage engine and +implement more advanced features on top of this via layered +architecture.
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    -Long term goal is to implement more advanced features on top of this. -

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