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Enhancing Call-Level Interfaces with Thread-Safe Local Memory Structures.

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Titel: Enhancing Call-Level Interfaces with Thread-Safe Local Memory Structures.
Autoren: Pereira, Óscar Mortágua, Aguiar, Rui L.
Quelle: International Journal of Software Engineering & Knowledge Engineering; Dec2017, Vol. 27 Issue 9/10, p1549-1565, 17p
Schlagwörter: APPLICATION software, DATABASES, COMPUTER storage devices, NONRELATIONAL databases, CLIENT/SERVER computing
Abstract: Database applications are being increasingly under pressure to respond effectively to ever more demanding performance requirements. Software architects can resort to several well-known architectural tactics to minimize the possibility of coming across with any performance bottleneck. The usage of call-level interfaces (CLIs) is a strategy aimed at reducing the overhead of business components. CLIs are low-level APIs that provide a high-performance environment to execute standard SQL statements on relational and also on some NoSQL database (DB) servers. In spite of these valuable features, CLIs are not thread-safe when distinct threads need to share datasets retrieved through Select statements from databases. Thus, even in situations where two or more threads could share a dataset, there is no other possibility than providing each thread with its own dataset, this way leading to an increased need of computational resources. To overcome this drawback, in this paper we propose a new natively thread-safe architecture. The implementation herein presented is based on a thread-safe updatable local memory structure (LMS) where the data retrieved from databases is kept. A proof of concept based on Java Database Connectivity type 4 (JDBC) for SQL Server 2008 is presented and also a performance assessment. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Software Engineering & Knowledge Engineering is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Datenbank: Complementary Index
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  Data: Enhancing Call-Level Interfaces with Thread-Safe Local Memory Structures.
– Name: Author
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  Data: <searchLink fieldCode="AR" term="%22Pereira%2C+Óscar+Mortágua%22">Pereira, Óscar Mortágua</searchLink><br /><searchLink fieldCode="AR" term="%22Aguiar%2C+Rui+L%2E%22">Aguiar, Rui L.</searchLink>
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  Data: International Journal of Software Engineering & Knowledge Engineering; Dec2017, Vol. 27 Issue 9/10, p1549-1565, 17p
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  Data: <searchLink fieldCode="DE" term="%22APPLICATION+software%22">APPLICATION software</searchLink><br /><searchLink fieldCode="DE" term="%22DATABASES%22">DATABASES</searchLink><br /><searchLink fieldCode="DE" term="%22COMPUTER+storage+devices%22">COMPUTER storage devices</searchLink><br /><searchLink fieldCode="DE" term="%22NONRELATIONAL+databases%22">NONRELATIONAL databases</searchLink><br /><searchLink fieldCode="DE" term="%22CLIENT%2FSERVER+computing%22">CLIENT/SERVER computing</searchLink>
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  Data: Database applications are being increasingly under pressure to respond effectively to ever more demanding performance requirements. Software architects can resort to several well-known architectural tactics to minimize the possibility of coming across with any performance bottleneck. The usage of call-level interfaces (CLIs) is a strategy aimed at reducing the overhead of business components. CLIs are low-level APIs that provide a high-performance environment to execute standard SQL statements on relational and also on some NoSQL database (DB) servers. In spite of these valuable features, CLIs are not thread-safe when distinct threads need to share datasets retrieved through Select statements from databases. Thus, even in situations where two or more threads could share a dataset, there is no other possibility than providing each thread with its own dataset, this way leading to an increased need of computational resources. To overcome this drawback, in this paper we propose a new natively thread-safe architecture. The implementation herein presented is based on a thread-safe updatable local memory structure (LMS) where the data retrieved from databases is kept. A proof of concept based on Java Database Connectivity type 4 (JDBC) for SQL Server 2008 is presented and also a performance assessment. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Software Engineering & Knowledge Engineering is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1142/S0218194017400101
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      – Code: eng
        Text: English
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        PageCount: 17
        StartPage: 1549
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      – SubjectFull: APPLICATION software
        Type: general
      – SubjectFull: DATABASES
        Type: general
      – SubjectFull: COMPUTER storage devices
        Type: general
      – SubjectFull: NONRELATIONAL databases
        Type: general
      – SubjectFull: CLIENT/SERVER computing
        Type: general
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      – TitleFull: Enhancing Call-Level Interfaces with Thread-Safe Local Memory Structures.
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              M: 12
              Text: Dec2017
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              Y: 2017
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              Value: 27
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              Value: 9/10
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