In the current computing environment, the significance of distributed heterogeneous systems
has gained prominence. The research on scheduling problems in distributed systems that …

Heterogeneous computing systems are being increasingly deployed on time-critical
applications, where tasks need to meet execution deadlines and the energy consumption is …

Reducing energy consumption is a major design constraint for modern heterogeneous
computing systems to minimize electricity cost, improve system reliability and protect …

Energy consumption is a significant concern for both small-scale embedded devices to large-
scale data centers. The problem of minimizing the scheduling length of parallel applications …

Devising energy‐efficient scheduling strategies for real‐time periodic tasks on
heterogeneous platforms is a challenging as well as a computationally demanding problem …

Energy consumption has always been one of the main design problems in heterogeneous
distributed systems, whether for large cluster computer systems or small handheld terminal …

Designing energy-efficient scheduling algorithms on heterogeneous distributed systems is
increasingly becoming the focus of research. State-of-the-art works have studied scheduling …

Scheduling algorithms in distributed heterogeneous systems have been the subject of
extensive research. However, with the advancement of technology, addressing real-time …

Modern real-time systems based on heterogeneous multicore platforms can efficiently meet
the disparate and high computation needs of the applications. The management of energy …

Multi-ECU (electronic control unit) systems are widely used in drones and electric vehicles.
The trend of sharing resources by multiple tasks is inevitable due to the sensitive costs and …