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Carmen C Iannacone - One of the best experts on this subject based on the ideXlab platform.

  • RTDB: a real-time Database Manager for time-critical applications
    Proceedings. EUROMICRO `91 Workshop on Real-Time Systems, 1991
    Co-Authors: Carmen C Iannacone
    Abstract:

    Compared with traditional Databases, Database systems for time-critical applications have the distinct feature that they must satisfy timing constraints associated with transactions. Transactions in real-time Database systems should be scheduled considering both data consistency and timing constraints. Since a Database system must operate in the context of available operating system services, an environment for Database systems development must provide facilities to support operating system functions and integrate them with Database systems for experimentation. The authors chose the ARTS real-time operating system kernel. They present their experience in integrating a relational Database Manager with a real-time operating system kernel, and their attempts at providing flexible control for concurrent transaction management. On-going research issues involving the development of a programming interface and the authors' efforts in using these techniques in implementing a specific experimental application (DOSE, distributed operating system experiment) are also discussed.

  • RTS - RTDB: a real-time Database Manager for time-critical applications
    Real-time Systems, 1991
    Co-Authors: Carmen C Iannacone, Marc S Poris
    Abstract:

    Compared with traditional Databases, Database systems for time-critical applications have the distinct feature that they must satisfy timing constraints associated with transactions. Transactions in real-time Database systems should be scheduled considering both data consistency and timing constraints. Since a Database system must operate in the context of available operating system services, an environment for Database systems development must provide facilities to support operating system functions and integrate them with Database systems for experimentation. The authors chose the ARTS real-time operating system kernel. They present their experience in integrating a relational Database Manager with a real-time operating system kernel, and their attempts at providing flexible control for concurrent transaction management. On-going research issues involving the development of a programming interface and the authors' efforts in using these techniques in implementing a specific experimental application (DOSE, distributed operating system experiment) are also discussed. >

  • implementing a distributed real time Database Manager
    Database Systems for Advanced Applications, 1991
    Co-Authors: Marc S Poris, Carmen C Iannacone
    Abstract:

    Conventional Database systems are typically not used in time-critical applications due to poor performance and lack of predictability. Compared with uaditional Databases, Database systems for such applications have the distinct feature that they must satisfy timing constraints associated with transactions. Transactions in real-time Database systems should be scheduled considering both data consistency and timing constraints. In addition, a real-time Database system must adapt to changes in the operating environment and guaranlee the completion of critical transactions. In this paper we present our experience in integrating a relational Database Manager with a real-time operating system kernel. Since a Database system must operate in the context of available operating system scrviccs, an environment for Database systems development must provide facilities to support operating system functions and integrate them with Database systems for expcrimenlation. We choose the ARTS real-time operating system kernel, which provides a predictable and reliable distributed real-time computing environment.

  • DASFAA - Implementing a Distributed Real-Time Database Manager
    1991
    Co-Authors: Marc S Poris, Carmen C Iannacone
    Abstract:

    Conventional Database systems are typically not used in time-critical applications due to poor performance and lack of predictability. Compared with uaditional Databases, Database systems for such applications have the distinct feature that they must satisfy timing constraints associated with transactions. Transactions in real-time Database systems should be scheduled considering both data consistency and timing constraints. In addition, a real-time Database system must adapt to changes in the operating environment and guaranlee the completion of critical transactions. In this paper we present our experience in integrating a relational Database Manager with a real-time operating system kernel. Since a Database system must operate in the context of available operating system scrviccs, an environment for Database systems development must provide facilities to support operating system functions and integrate them with Database systems for expcrimenlation. We choose the ARTS real-time operating system kernel, which provides a predictable and reliable distributed real-time computing environment.

Marc S Poris - One of the best experts on this subject based on the ideXlab platform.

  • RTS - RTDB: a real-time Database Manager for time-critical applications
    Real-time Systems, 1991
    Co-Authors: Carmen C Iannacone, Marc S Poris
    Abstract:

    Compared with traditional Databases, Database systems for time-critical applications have the distinct feature that they must satisfy timing constraints associated with transactions. Transactions in real-time Database systems should be scheduled considering both data consistency and timing constraints. Since a Database system must operate in the context of available operating system services, an environment for Database systems development must provide facilities to support operating system functions and integrate them with Database systems for experimentation. The authors chose the ARTS real-time operating system kernel. They present their experience in integrating a relational Database Manager with a real-time operating system kernel, and their attempts at providing flexible control for concurrent transaction management. On-going research issues involving the development of a programming interface and the authors' efforts in using these techniques in implementing a specific experimental application (DOSE, distributed operating system experiment) are also discussed. >

  • implementing a distributed real time Database Manager
    Database Systems for Advanced Applications, 1991
    Co-Authors: Marc S Poris, Carmen C Iannacone
    Abstract:

    Conventional Database systems are typically not used in time-critical applications due to poor performance and lack of predictability. Compared with uaditional Databases, Database systems for such applications have the distinct feature that they must satisfy timing constraints associated with transactions. Transactions in real-time Database systems should be scheduled considering both data consistency and timing constraints. In addition, a real-time Database system must adapt to changes in the operating environment and guaranlee the completion of critical transactions. In this paper we present our experience in integrating a relational Database Manager with a real-time operating system kernel. Since a Database system must operate in the context of available operating system scrviccs, an environment for Database systems development must provide facilities to support operating system functions and integrate them with Database systems for expcrimenlation. We choose the ARTS real-time operating system kernel, which provides a predictable and reliable distributed real-time computing environment.

  • DASFAA - Implementing a Distributed Real-Time Database Manager
    1991
    Co-Authors: Marc S Poris, Carmen C Iannacone
    Abstract:

    Conventional Database systems are typically not used in time-critical applications due to poor performance and lack of predictability. Compared with uaditional Databases, Database systems for such applications have the distinct feature that they must satisfy timing constraints associated with transactions. Transactions in real-time Database systems should be scheduled considering both data consistency and timing constraints. In addition, a real-time Database system must adapt to changes in the operating environment and guaranlee the completion of critical transactions. In this paper we present our experience in integrating a relational Database Manager with a real-time operating system kernel. Since a Database system must operate in the context of available operating system scrviccs, an environment for Database systems development must provide facilities to support operating system functions and integrate them with Database systems for expcrimenlation. We choose the ARTS real-time operating system kernel, which provides a predictable and reliable distributed real-time computing environment.

Kimberly Hoffman - One of the best experts on this subject based on the ideXlab platform.

Tore Risch - One of the best experts on this subject based on the ideXlab platform.

  • WDAS - High-performance GRID Database Manager for Scientific Data
    2006
    Co-Authors: Tore Risch, Milena Gateva Koparanova, Bo Thide
    Abstract:

    The GRID initiative provides an infrastructure for distributed computations among widely distributed high-performance computers. This will allow for exchanging and processing very large amounts of data. The LOFAR project (www.nfra.nl/lofar) is an international initiative to build a versatile, geographically distributed, multi-point radio facility for astrophysics, space physics, atmospheric physics, and radio research, utilizing very high performance GRID computing. LOIS is a proposed Swedish outrigger to LOFAR providing a software radar. As the volume of processed data by LOFAR/LOIS is very large and dynamic there will be need for very high performing data management systems. For this a high-performance stream-oriented distributed data Manager and query processor is being developed that allows very efficient execution of Database queries to streamed data involving numerical and other data. Very high performance is attained by utilizing many object-relational main-memory Database engines running on PCs and connected through the GRID. The project leverages upon a highperformance, extensible, and object-oriented Database engine, the Amos II kernel, developed in the Uppsala Database Laboratory. A very high performing stream-oriented DBMS is being developed for representing and querying non-relational data representations extracted from the data flows used in space and environmental physics applications. Of particular interest is the development of new distributed data population and query processing techniques for this kind of applications and thereby utilizing distributed and scalable data structures for high-performance stream data processing.

  • high performance grid stream Database Manager for scientific data
    Lecture Notes in Computer Science, 2003
    Co-Authors: Milena Gateva Koparanova, Tore Risch
    Abstract:

    In this work we describe a high-performance stream-oriented distributed Database Manager and query processor under development. It allows efficient execution of Database queries to streamed numerical data from scientific applications. Very high performance is attained by utilizing many object-relational main-memory Database engines connected through the GRID.

  • European Across Grids Conference - High-Performance GRID Stream Database Manager for Scientific Data
    Lecture Notes in Computer Science, 2003
    Co-Authors: Milena Gateva Koparanova, Tore Risch
    Abstract:

    In this work we describe a high-performance stream-oriented distributed Database Manager and query processor under development. It allows efficient execution of Database queries to streamed numerical data from scientific applications. Very high performance is attained by utilizing many object-relational main-memory Database engines connected through the GRID.

  • high performance grid Database Manager for scientific data
    WDAS, 2002
    Co-Authors: Tore Risch, Milena Gateva Koparanova, Bo Thide
    Abstract:

    The GRID initiative provides an infrastructure for distributed computations among widely distributed high-performance computers. This will allow for exchanging and processing very large amounts of data. The LOFAR project (www.nfra.nl/lofar) is an international initiative to build a versatile, geographically distributed, multi-point radio facility for astrophysics, space physics, atmospheric physics, and radio research, utilizing very high performance GRID computing. LOIS is a proposed Swedish outrigger to LOFAR providing a software radar. As the volume of processed data by LOFAR/LOIS is very large and dynamic there will be need for very high performing data management systems. For this a high-performance stream-oriented distributed data Manager and query processor is being developed that allows very efficient execution of Database queries to streamed data involving numerical and other data. Very high performance is attained by utilizing many object-relational main-memory Database engines running on PCs and connected through the GRID. The project leverages upon a highperformance, extensible, and object-oriented Database engine, the Amos II kernel, developed in the Uppsala Database Laboratory. A very high performing stream-oriented DBMS is being developed for representing and querying non-relational data representations extracted from the data flows used in space and environmental physics applications. Of particular interest is the development of new distributed data population and query processing techniques for this kind of applications and thereby utilizing distributed and scalable data structures for high-performance stream data processing.

Kevin Gunn - One of the best experts on this subject based on the ideXlab platform.

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