We also define the Elastic Scheduling Problem (ESP), which succinctly captures the optimal utilization objective of elastic reservations.
In this paper, we propose an offline fault-tolerant elastic scheduling algorithm for workflow in Cloud systems (FTESW).
Bearing capacity, consolidation settlement, elastic settlement, schedule, and cost factors need to be considered.
In this paper, we develop a novel scheduling strategy named energy-efficient elastic (3E) scheduling for aperiodic, independent and non-real-time tasks with user expected finish times on DVFS-enabled heterogeneous computing systems.
But it's also because the hours allow for elastic eating schedules; the Livingston shop closes at 8 p.m. on weekdays, for those who crave an early soup dinner.
Hence, country H is assumed to be facing perfectly elastic supply schedules of foreign exporters.
Also, let SF and SJ represent the perfectly elastic supply schedules of country F and country J, respectivelyd.
Throughput optimal schedulers, like Exp and Log rules, can also be used for scheduling elastic flows which are often modeled as full/infinitely backlogged buffers instead of dynamic queues with random arrivals that are independent of service rate.
In general, the approach for elastic reservation and scheduling presented in this paper is applicable to any concurrently accessible resource where the usage characteristics are quasi-flexible.
These problems remain inherent in DCF extensions such as enhanced distributed channel access (EDCA), which schedules elastic TCP streams using the 'Background' or 'Best Effort' class.
Spark opens the door but to truly deliver on the promise and speed of big data, companies must combine Spark on the back-end with improved API's, elastic scaling, job scheduling, workload management and such.
