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In many real-world workloads, data skew is omnipresent.
To meet the Quality of Service (QoS) required by cloud users in the context of fluctuating IT workloads, data center operators usually over-provision the computing resource according to the peak workload.
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B. Workload data: .
Luckily, workload data are available in the form of accounting logs.
Task performance, electromyography, and subjective workload data were collected to examine the touch behavior.
Gmach et al. [22] applies pattern recognition techniques to data center and cloud workload data.
A user identifies any existing sources of workload data, for example, from database monitoring tools.
While the source of the workload model is existing or newly created database workload data (e.g., query log files).
Standard defect and workload data normally collected in a typical small software development organization can be used for this purpose.
Both the exponential smoothing techniques weight the history of the workload data by a series of exponentially decreasing factors.
Capability of a system/ model/function/algorithm to cope and perform under an increased or expanding workload (data volume).
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