Abstract
To handle steadily growing volumes of data and intensifying workloads, modern enterprise systems have to scale out, using multiple servers within the enterprise system landscape. With the growing number of servers—and consequently growing number of racks and CPUs—the probability of hardware-induced failures is rising.
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Reference
J. Wust, J.-H. Boese, F. Renkes, S. Blessing, J. Krueger, H. Plattner. Efficient logging for enterprise workloads on column-oriented in-memory databases, in CIKM 2012 (ACM, 2012)
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Self Test Questions
Self Test Questions
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1.
Recovery
What is recovery?
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(a)
It is the process of recording all data during the run time of a system
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(b)
It is the process of restoring a server to the last consistent state before its crash
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(c)
It is the process of improving the physical layout of database tables to speed up queries
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(d)
It is the process of cleaning up main memory, that is “recovering” space.
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(a)
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2.
Server Failure
What happens in the situation of a server failure?
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(a)
The system has to be rebooted and restored if possible, while another server takes over the workload
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(b)
The power supply is switched to backup power supply so the data within the main memory of the server is not lost
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(c)
The failure of a server has no impact whatsoever on the workload
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(d)
All data is saved to persistent storage in the last moment before the server shuts down.
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(a)
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© 2013 Springer-Verlag Berlin Heidelberg
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Plattner, H. (2013). Recovery. In: A Course in In-Memory Data Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36524-9_29
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DOI: https://doi.org/10.1007/978-3-642-36524-9_29
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-36523-2
Online ISBN: 978-3-642-36524-9
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