Next evolutionary step in enterprise-scale system design and deployment. Distributed microApps™ beyond the cloud.
Fundamental building block Is a "Fractal" which has:
Each Fractal Is a small vertical software stack running in a loosely coupled process that is an independent processing entity in a distributed processing environment. The Fractal Web framework gives programmers explicit and granular control over sharding and partitioning of the distributed data. The framework also constructs software data processing/caching pipelines to efficiently move data to the CPU core during run-time processing.
The performance of Fractal Apps™ is due to Locality Optimization™ technology:
Best use cases are enterprise-class applications that support mission critical repetitive business processes. Examples of this are: billing, forecasting, reconcilliation, and other customer care oriented applications.
Emperical results Locality of Reference optimization can reduce I/O wait-states in application layer code by multiple decimal orders of magnitude (compared to a similar legacy application implemented in a relational database). We have customers with production applications that are now running 1,000x to 1,000,000x faster than their legacy application.
Simultaneous innovation Fractal Programming consists of simultaneous innovations in:
Next evolutionary step in enterprise-scale system design and deployment.
Fundamental building block is a Fractal. Each Fractal is a small vertical software stack running in a loosely coupled process that is an independent processing entity in a distributed processing environment.
Each Fractal contains the entire application A user, or another application, interacts with a Fractal via web services. The Fractal contains all of the data and code (including all user interface widgets) for the application that the user wishes to run. Each Fractal is a smaller scale version of the overall application.
Billing example if the user is running a billing application, an individual Fractal might be responsible for on the order of about 25,000 customers and all of their associated information. If the user asks the Fractal to "show a list of all customers" the Fractal will respond with a list of 25,000 customers. If the Fractal is running in a Fractal Web™ environment where it can communicate with all of the other Fractals in the environment -- then before the Fractal sends a response back to the user, it broadcasts a message to the other Fractals asking them if they also manage any customers. The Fractal takes all of their responses and folds them into its internal response before sending the final response back to the user. The mechanisms for dissiminating requests out to other Fractals and integrating their results into a final result is part of the Fractal Web™ framework.
Spreadsheet example If the user wants to build an application with a "spreadsheet" implementation style, each Fractal is responsible for a section of the spreadsheet. Often these type of spreadsheets are organized as multiple "sheets" within the overall spreadsheet. Each Fractal is responsible for it's assigned sheet in the spreadsheet. This Fractal approach to spreadsheet implementation makes is possible to have "infinite" spreadsheets that enable a simple application implementation style (spreadhseet programming) to scale to very large data sets and to utilize massive amounts of parallel processing. Each Fractal manages its iSheet™ sheet in the aggregate spreadsheet in parallel and the Fractal Web framework provides the programmer with Locality Optimization™ tools to insure parallelism for optimal run-time performance.
Fractal Web™ peer-to-peer architecture. Each Fractal contains a fully functional application with all of the data and application logic for performing some task. The user experience of interacting with an individual Fractal or the entire network of Fractals is exactly the same -- the result sets are either a fraction of the total data set (when interacting with only a single Fractal) or the entire data set (when interacting with a Fractal that, in turn, is communicating with the other Fractals).
All Fractals are the same A user can attach to any Fractal in the network to initiate a request. Each Fractal is capable of communicating with all of the other Fractals and assembing a complete result for the user. A Fractal Web architecture enables massive parallel processing, fault-tolerance, and high availability of the overall application since failover and backup logic is also embedded in each Fractal as part of the Fractal Web framework.
Minimalist but complete.
A Fractal contains just the necessary essence of the massive software infrastructure resident in the cloud and enterprise scale applications.
Reduce need for data centers A Fractal instance manages storage and compute resources at a granular scale. A Fractal runs on hardware at the network edge or the minimal instance of the cloud. A Fractal runs on mobile devices, network hardware, desktop PCs, departmental workstations, and conventional servers in your data center and in the cloud. If the hardware has a processor, some storage, and a network connection -- it can be a Fractal resource. Fractal enables you to migrate OUT OF DATA CENTERS, reducing your energy footprint.
Distributed processing & storage Fractal is a distributed development and delivery software platform. It enables an enterprise application and its databases to be split into dozens, hundreds, thousands, or millions of loosely coupled distributed processing and storage resources. Decentralized, distributed management of these resources so they behave as a coherent whole is an innate capability of each Fractal instance.
Example A medium size 10 million customer billing app is typically deployed on 10 Intel NUC's, each running 40 Fractals, for a total of 400 Fractals.
Each Fractal is connected to the other Fractals in a peer-to-peer network. Each Fractal has a complete copy of the application code and is capable of operate completely independently.
The 40 Fractals on each NUC manage about 25,000 customer each so each NUC handles the processing for about 1 million customers.
Each Fractal Is a small vertical software stack running as a loosely coupled process that is an independent processing entity in a distributed processing network.
Fractal Programming™ gives programmers explicit and granular control over sharding and partitioning of the distributed data.
The Fractal Framework™ constructs software data processing/caching pipelines to efficiently move data from long-term persistent storage, to fast-access storage, to RAM, to layer-2 cache, and to the CPU cores at run-time.
Data sharding & partitioning Each loosely-coupled Fractal typically hosts 3 types of databases.
(Calculated by App)
|example: Point of Sale, Call Logs, Meter Readings, etc.||example: Location, Account ID's, Customer ID's, etc.||example: Bills, Forecasts, Alerts, etc.|
10 years of data
Total Records = 9 billion per Fractal
Total Records = 25,000 per Fractal
10 years of data
Total Records = 3 million per Fractal
|Databases partitioned by month into 120 partions per shard with 1 shard per Fractal||Databases in 1 partition per shard with 1 shard per Fractal||Databases partitioned by month into 120 partitions per shard with 1 shard per Fractal|
|Total Input Records: (9 Billion / Frctal) x 400 Fractals =|
|Total Location records: (25,000 / Fractal) x 400 Fractals =|
|Total Output Records: (3 million / Fractal) x 400 Fractals =|
Data flow Input data is streamed by the service point DB which guides calculations to produce the output data. This processing is done via a software processing pipeline that optimizes data flow so that data is paged into layer-2 cache immediately prior to a CPU core requiring the next data block from a data stream.