Information Processing Software System

An Information Processing Software System is a data processing system that implements information processing algorithms to solve information processing tasks (through information transformation operations).

• AKA: Information Processor, Information Processing Engine.
• Context:
  • Task Input: Raw Information, Structured Information, Unstructured Information
    • Optional Input: Processing Parameters, Configuration Settings
  • Task Output: Processed Information, Information Reports
  • Task Performance Measure: Processing Speed, Information Quality Score, Resource Utilization
  • ...
  • It can provide Core Information Processing Functions through processing engines.
  • It can perform Information Ingestion through input handlers.
  • It can execute Information Transformation through processing engines.
  • It can manage Information Output through delivery mechanisms.
  • It can validate Information Quality through validation rules.
  • ...
  • It can range from being a Simple Information Processing System to being a Complex Information Processing System, depending on its processing complexity.
  • It can range from being a Basic Information Processing System to being an Advanced Information Processing System, depending on its processing capability.
  • It can range from being a Single Domain System to being a Multi Domain System, depending on its application scope.
  • ...
  • It can integrate with External Information Systems through system interfaces.
  • It can implement Information Governance through policy enforcement.
  • It can support System Monitoring through health checks.
  • It can enable System Recovery through backup mechanisms.
  • ...
• Examples:
  • Core Processing Systems, such as:
    • OLTP Systems, such as:
      • Enterprise OLTP Systems for transaction processing.
      • Database OLTP Systems for data management.
    • Information Filtering Systems, such as:
      • Recommender Systems for content filtering.
      • Content Filtering Systems for information selection.
    • Information Retrieval Systems, such as:
      • Web Search Engines for web content retrieval.
      • Document Search Systems for document retrieval.
  • System Components, such as:
    • Processing Components, such as:
      • Input Subsystems for information ingestion.
      • Processing Units for information transformation.
      • Storage Subsystems for information management.
      • Output Subsystems for information delivery.
    • Control Components, such as:
      • Monitoring Components for system health.
      • Security Modules for information protection.
  • ...
• Counter-Examples:
  • Data Ingestion Systems, which collect rather than process information.
  • Data Storage Systems, which store rather than transform information.
  • Signal Processing Systems, which handle signals rather than structured information.
• See: Information Processing Architecture, Information Pipeline, System Scalability, Processing Framework, Information Management, System Integration, Information Governance, Processing Optimization, System Reliability, Information Quality Management, Data Analysis System.

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References

2013

• http://en.wikipedia.org/wiki/Information_processor
  • An information processor or information processing system, as its name suggests, is a system (be it electrical, mechanical or biological) which takes information (a sequence of enumerated states) in one form and processes (transforms) it into another form, e.g. to statistics, by an algorithmic process.

    An information processing system is made up of four basic parts, or sub-systems:

    • input.
    • processor.
    • storage.
    • output.
  • An object may be considered an information processor if it receives information from another object and in some manner changes the information before transmitting it. This broadly defined term can be used to describe every change which occurs in the universe. As an example, a falling rock could be considered an information processor due to the following observable facts:

    First, information in the form of gravitational force from the earth serves as input to the system we call a rock. At a particular instant the rock is a specific distance from the surface of the earth traveling at a specific speed. Both the current distance and speed properties are also forms of information which for that instant only may be considered "stored" in the rock.

    In the next instant, the distance of the rock from the earth has changed due to its motion under the influence of the Earth's gravity. Any time the properties of an object change a process has occurred meaning that a processor of some kind is at work. In addition, the rock's new position and increased speed is observed by us as it falls. These changing properties of the rock are its "output."

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