Symbol T_opt
pt is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.
Read this term in its guide →Published equation contexts
The underlying trade-off is a classical one from checkpoint/restart theory, and it is worth making explicit because it is the model every specific policy below is an instance of. If a checkpoint costs a fixed time C to write and failures arrive with mean time between them M , then choosing a checkpoint interval T trades two costs against each other: writing more often burns time on overhead, and writing less often burns time re-doing work lost since the last save. Minimising the sum of those two costs — checkpoint overhead C/T plus expected rework T/2M — over T gives the classical optimum: . The consequence that matters operationally is that shrinks as M…
pt is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.
Read this term in its guide →C is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.
Read this term in its guide →M is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.
Read this term in its guide →Its accuracy depends on the assumptions and range of use described in the article.
A symbol can carry a different meaning in another article. Each occurrence keeps its own guide and term definitions.
Equation 7 · Datacenters
This equation gives an approximation: it relates the quantities while allowing an approximation.
The underlying trade-off is a classical one from checkpoint/restart theory, and it is worth making explicit because it is the model every specific policy below is an instance of. If a checkpoint costs a fixed time C to write and failures arrive with mean time between them M , then choosing a checkpoint interval T trades two costs against each other: writing more often burns time on overhead, and writing less often burns time re-doing work lost since the last save. Minimising the sum of those two costs — checkpoint overhead C/T plus expected rework T/2M — over T gives the classical optimum: . The consequence that matters operationally is that shrinks as M…
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