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Autor(en): 
  • Sharma Chakravarthy
  • Qingchun Jiang
  • Stream Data Processing: A Quality of Service Perspective - Modeling, Scheduling, Load Shedding, and Complex Event Processing 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Dezember 2010  
    Genre:  EDV / Informatik 
     
    Application software / C / Computer Communication Networks / Computer communication systems / computer science / Data structures (Computer science) / Data Structures and Information Theory / Data Warehousing / Database Management / database programming / Databases / Graphical & digital media applications / Information Retrieval / Information Storage and Retrieval / Information Systems Applications (incl. Internet) / Information Systems Applications (incl.Internet) / Information theory / Internet searching / Multimedia Information Systems / Network hardware
    ISBN:  9781441943736 
    EAN-Code: 
    9781441943736 
    Verlag:  Springer Nature EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  #36 - Advances in Database Systems  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  539 gr 
    Seiten:  324 
    Illustration:  XXVI, 324 p. 50 illus., schwarz-weiss Illustrationen 
    Zus. Info:  Previously published in hardcover 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Traditional database management systems, widely used today, are not well-suited for a class of emerging applications. These applications, such as network management, sensor computing, and so on, need to continuously process large amounts of data coming in the form of a stream and in addition, meet stringent response time requirements.  Support for handling QoS metrics, such as response time, memory usage, and throughput, is central to any system proposed for the above applications.

    Stream Data Processing: A Quality of Service Perspective (Modeling,Scheduling, Load Shedding, and Complex Event Processing), presents a new paradigm suitable for stream and complex event processing. This book covers a broad range of topics in stream data processing and includes detailed technical discussions of a number of proposed techniques from QoS perspective.

    This volume is intended as a text book for graduate courses and as a reference book for researchers, advanced-level students in computer sciences, and IT practitioners.

     

      
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