Will Task Scheduler run when computer is locked?
Answers from top 9 papers
More filters
Papers (9) | Insight |
---|---|
26 Aug 2013 | Benchmarking on a set of task parallel programs using a work-stealing scheduler demonstrates that our approach is generally effective. |
10 Oct 2011 | Experimental evaluation shows that the unified scheduler is as efficient as the Cilk scheduler when tasks have no dependencies. |
01 Apr 2019 22 Citations | Experimental results indicate that our scheduler outperforms prior work in terms of task schedulability and analysis time complexity. |
11 Apr 2011 | This information also allows the scheduler to determine feasibility of task migrations, which is critical for the safety of any hard real-time system. |
48 Citations | In the experiments our scheduler clearly outperforms conventional run-time schedulers based on as-soon-as-possible techniques. |
06 Nov 2005 11 Citations | Our experimental results show that the scheduler can achieve substantial energy savings over a device that is always on. |
29 Citations | This scheduler has achieved the tight schedulability bound of this problem. |
41 Citations | Results of the experimental study of the scheduler demonstrate its high performance. |
01 Jun 1999 14 Citations | Our scheduler can be implemented with reasonable hardware overhead. |
Related Questions
How does scheduling constraints affect the time of a task?5 answersScheduling constraints have a significant impact on the time of a task. In parallel-computing frameworks like Hadoop and Spark, tasks within the same stage (job) have a collective completion time determined by the slowest task in the collection. Time window constraints on tasks in a robotic network cloud system ensure that tasks are ordered and completed in the fastest way possible. In resource-constrained Internet of Things (IoT) systems, hardware configurations and varying effects on the scheduler's computing time make it challenging to achieve optimal scheduler optimization while minimizing computational complexity. In edge computing, dependent task scheduling with bandwidth constraints during task startups is crucial to reduce startup latency and improve performance. In a cluster of machines, scheduling parallel-task jobs with synchronization, packing, and placement constraints aims to minimize the weighted average of completion times.
How do I lock my Iphone for productivity?9 answers
How do you lock your messages on signal?6 answers
How do you release cell lock in Excel?8 answers
What is task scheduling in fog computing?8 answers
Will Windows Task Scheduler run when computer is locked?8 answers