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Both the user and the analyst would like to know how much time is spent in each stage of processing the database transaction during its “ﬂight” through the system software. On average, the sum of the times spent in each processing stage should equal the measured end-to-end response time within some allowed tolerance. Client Network Server Fig. 5. Response time represented as links in a timing chain Another way to think about the role of time-sinks or bottlenecks is to view each processing stage as a link in a chain of processing events.
Processes coordinate with one another, via the exchange of messages, to complete a computational task. Three types of actions can be taken by a process: 1. compute (intraprocess) 2. send a message (interprocess) 3. , a process that has sent a message is not required to wait for acknowledgment to complete. Computation generates a set of distributed events. , process B cannot compute before the results of process A are available to it. 10 1 Time—The Zeroth Performance Metric This requirement amounts to a form of causality in which A must precede B.
The cautious reader should note that Redundant Arrays of Inexpensive Disks (RAID), and Storage Area Networks (SAN) usually do not oﬀer the possibility of resolving timing chains in this way. For the most part, they remain proprietary black boxes. 7 Failing Big Time Achievable performance can be constrained signiﬁcantly by poor reliability or lack of stability in a computer system. The importance of this, often ignored, aspect of performance analysis is captured in the time-honored adage, “High performance, high reliability, low cost; pick two!