Abstract Considering the low flexibility and efficiency of scheduling problem, an improved multi-objective immune algorithm with non-dominated neighbor-based selection Tabu search (NNITSA) is proposed. A novel (TSA)-based operator introduced in both local mutation stage, which improves climbing performance NNTSA. Special strategies can prevent from being caught optimal solution. In addition, co...

Performance irregularities on massively parallel processors lead to load imbalances and a significant loss of performance. Multi-core nodes suggest a promising way to redistribute work within a node, thus mitigating performance irregularities. However, there exists a non-trivial cost to redistributing work, and associated data, across cores. We investigate how work can be equitably distributed ...

Effective control of large-scale enterprises requires a combination of long-range planning to identify appropriate strategies for meeting objectives and efficient scheduling of resources to ensure timely completion of tasks associated with those strategies. Given the highly dynamic operating environment of many enterprises, planning and scheduling must both be adaptive to unexpected events and ...

An adaptive method to perform dynamic voltage and frequency scheduling (DVFS) for minimizing the energy consumption of microprocessor chips is presented. Instead of using a fixed update interval, the proposed DVFS system makes use of adaptive update intervals for optimal frequency and voltage scheduling. The optimization enables the system to rapidly track the workload changes so as to meet sof...