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CSI Kernel: Finding a Needle in a Multiterabyte Haystack.

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Title: CSI Kernel: Finding a Needle in a Multiterabyte Haystack.
Authors: King, Clive1, Beal, Chris1
Source: IEEE Software. Nov2012, Vol. 29 Issue 6, p9-12. 4p. 1 Chart, 1 Graph.
Subjects: Computer operating system software, Computer operating system standards, Computer operating system maintenance & repair, Computer operating system design & construction, Computer software, Software engineering
Abstract: Oracle's Clive King and Chris Beal talk about hidden software on which we completely depend—the OS. Although OSs are highly reliable, no OS is perfect. So, when things go wrong in the OS running on modern systems, the needle-in-the-haystack analogy hardly begins to scratch the surface of the needed detective work. [ABSTRACT FROM PUBLISHER]
Copyright of IEEE Software is the property of IEEE Computer Society 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.)
Database: Engineering Source
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  Data: CSI Kernel: Finding a Needle in a Multiterabyte Haystack.
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  Data: Oracle's Clive King and Chris Beal talk about hidden software on which we completely depend—the OS. Although OSs are highly reliable, no OS is perfect. So, when things go wrong in the OS running on modern systems, the needle-in-the-haystack analogy hardly begins to scratch the surface of the needed detective work. [ABSTRACT FROM PUBLISHER]
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  Data: <i>Copyright of IEEE Software is the property of IEEE Computer Society 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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