Energy-Efficient Thermal-Aware Scheduling for RT Tasks Using TCPN

Energy Efficient and QoS-Aware Tasks Allocation for Sensor Networks

Collaborative processing among sensors to fulfill given tasks is a promising solution to save significant energy in resource-limited wireless sensor networks (WSN). Quality-of-Service (QoS) such as lifetime and latency is largely affected by how tasks are mapped to sensors in network. Tasks allocation is a well-defined problem in the area of high performance computing and has been extensively s...

Energy-Efficient Scheduling for Tasks with Uncertain Workloads

Energy-Efficient Multi-Core Scheduling for Real-Time DAG Tasks

In this work, we study energy-aware real-time scheduling of a set of sporadic Directed Acyclic Graph (DAG) tasks with implicit deadlines. While meeting all real-time constraints, we try to identify the best task allocation and execution pattern such that the average power consumption of the whole platform is minimized. To the best of our knowledge, this is the first work that addresses the powe...

EATS: Energy-Aware Tasks Scheduling in Cloud Computing Systems

The increasing cost in power consumption in data centers, and the corresponding environmental threats have raised a growing demand in energy-efficient computing. Despite its importance, little work was done on introducing models to manage the consumption efficiently. With the growing use of Cloud Computing, this issue becomes very crucial. In a Cloud Computing, the services run in a data center...

Energy-Efficient and Thermal-Aware Resource Management for Heterogeneous Datacenters

We propose in this paper to study the energy-, thermaland performance-aware resource management in heterogeneous datacenters. Witnessing the continuous development of heterogeneity in datacenters, we are confronted with their different behaviors in terms of performance, power consumption and thermal dissipation: Indeed, heterogeneity at server level lies both in the computing infrastructure (co...