"task migration" is a correct and usable phrase in written English.
It refers to the process of transferring tasks from one system or person to another. For example, "We had to implement task migration to make sure all tasks were completed in a timely manner."
Even-Dar and Mansour [22] consider concurrent and independent task migration policies, where tasks are allowed to migrate from the overloaded machines to the under-loaded resources.
Two constraints are given between two submeshes for task migration.
The triggering of activating a task migration is also important.
Finally, performance analysis is adopted to compare the proposed task migration schemes.
However, only the partitioned scheduling approach which prevents task migration was supported.
The overhead of task compaction relies mainly on designing an efficient task migration scheme.
This work proposes an analysis methodology, i.e., Formal Analysis Methodology for Task Migrations (FAMe-TM), and identifies a generic set of properties for the formal verification of task-migration-based dDTM schemes.
Distributed Dynamic Thermal Management (dDTM) through task migrations across cores provides a very promising solution to cater for the heating issues in Many-Core architectures.
(2) As we assume that cores that share jobs of a migrating task have a local copy of this task, we reduce both the overhead concerning task fetching and the number of task migrations due to the offline job-to-core mapping.
For illustration purposes, we apply FAMe-TM to two recently proposed task-migration-based dDTM schemes, i.e., Thermal Coupling Aware (TCA-TM) dDTM and Hot Spot Reduction (HR-TM) dDTM.
In [17] we proposed an HW/SW partitioning approach based on HW SW and SW HW tasks migrations.
