A Weighted Buddy Method for Dynamic Storage Allocation.

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Bibliographic Details
Title: A Weighted Buddy Method for Dynamic Storage Allocation.
Authors: Shen, Kenneth K.1, Peterson, James L.1, Weissman, C.
Source: Communications of the ACM. Oct74, Vol. 17 Issue 10, p558-562. 5p. 4 Diagrams.
Subjects: Dynamic storage allocation (Computer science), Computer software, Algorithms, Computer programming, Electronic data processing
Abstract: An extension of the buddy method, called the weighted buddy method, for dynamic storage allocation is presented The weighted buddy method allows block sizes of 2k and 3 ,2k, whereas the original buddy method allowed only block sizes of 2k. This extension is achieved at an additional cost of only two bits per block. Simulation results are presented which compare this method with the buddy method. These results indicate that, for a uniform request distribution, the buddy system has less total memory fragmentation than the weighted buddy algorithm. However, the total fragmentation is smaller for the weighted buddy method when the requests are for exponentially distributed block sizes. [ABSTRACT FROM AUTHOR]
Copyright of Communications of the ACM is the property of Association for Computing Machinery 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.)
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  Data: A Weighted Buddy Method for Dynamic Storage Allocation.
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  Data: An extension of the buddy method, called the weighted buddy method, for dynamic storage allocation is presented The weighted buddy method allows block sizes of 2k and 3 ,2k, whereas the original buddy method allowed only block sizes of 2k. This extension is achieved at an additional cost of only two bits per block. Simulation results are presented which compare this method with the buddy method. These results indicate that, for a uniform request distribution, the buddy system has less total memory fragmentation than the weighted buddy algorithm. However, the total fragmentation is smaller for the weighted buddy method when the requests are for exponentially distributed block sizes. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Communications of the ACM is the property of Association for Computing Machinery 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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        Value: 10.1145/355620.361164
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      – Code: eng
        Text: English
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        PageCount: 5
        StartPage: 558
    Subjects:
      – SubjectFull: Dynamic storage allocation (Computer science)
        Type: general
      – SubjectFull: Computer software
        Type: general
      – SubjectFull: Algorithms
        Type: general
      – SubjectFull: Computer programming
        Type: general
      – SubjectFull: Electronic data processing
        Type: general
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      – TitleFull: A Weighted Buddy Method for Dynamic Storage Allocation.
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            NameFull: Shen, Kenneth K.
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            NameFull: Peterson, James L.
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            NameFull: Weissman, C.
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              M: 10
              Text: Oct74
              Type: published
              Y: 1974
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              Value: 17
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              Value: 10
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