Sentence examples for deadline budget from inspiring English sources

The predictable column in our system is the sequence's number of strategies and input columns are request's characteristics such as Deadline, Budget, FileSize, and Length.

User: On users' side, a request for an application is sent to a SaaS provider's application layer with QoS constraints, such as, deadline, budget and penalty rate.

x...... x [88] Dynamic programming x. x.. x... x [25] Dynamic scheduling.... x o... x [11] Energy efficiency.... o.. x.. [131] Reputation-based QoS provisioning o o x....... [74] Deadline, budget, auto-scaling.

These properties are fully or at least partially covered by the other taxonomies, such as [9], with cost, makespan, and reliability; [112], with unpredictability management (closely related to dynamic properties and reliability) and rescheduling; [127], with deadline, budget, reliability, and energy; and [108], with cost, time, and energy.

The participating actors involved in the process are discussed below along with their objectives and constraints: User: On users' side, a request for an application is sent to a SaaS provider's application layer with QoS constraints, such as, deadline, budget and penalty rate.

Deadline Budgeting Algorithm for Workflows.

The algorithms devised to decompose the end-to-end deadline for multi-stage jobs are described in Section "Deadline budgeting algorithm for workflows".

The deadlines of the jobs are generated by multiplying SET j R (recall Section "Deadline Budgeting Algorithm for Workflows") with an execution time multiplier (em) and adding the resulting value to s j.

As in the case with RM-DCWF, a best-fit strategy (as described in Section "Deadline Budgeting Algorithm for Workflows") is used allocate the tasks of a job to resources.

Algorithm 1 presents the Deadline Budgeting Algorithm for Workflows (DBW algorithm), which is used by RM-DCWF to decompose the end-to-end deadline of a multi-stage job into components and to assign each task of the job a sub-deadline.

The normalized laxity of a job j (denoted NL j ) is calculated as follows: {NL}_j=frac{L_j}{SET_j} (3)where L j is the laxity of job j and SET j is the sample execution time of job j (recall Section "Deadline Budgeting Algorithm for Workflows").