An Online Self-Adaptive System Management Technique for Multi-Core Systems

Self-Adaptive Fault Tolerance in Multi-/Many-Core Systems

Developing Self-adaptive Melody Search Algorithm for Optimal Operation of Multi-reservoir Systems

Operation of multi-reservoir systems is known as complicated and often large-scale optimization problems. The problems, because of broad search space, nonlinear relationships, correlation of several variables, as well as problem uncertainty, are difficult requiring powerful algorithms with specific capabilities to be solved. In the present study a Self-adaptive version of Melody Search algorith...

An Online Q-learning Based Multi-Agent LFC for a Multi-Area Multi-Source Power System Including Distributed Energy Resources

This paper presents an online two-stage Q-learning based multi-agent (MA) controller for load frequency control (LFC) in an interconnected multi-area multi-source power system integrated with distributed energy resources (DERs). The proposed control strategy consists of two stages. The first stage is employed a PID controller which its parameters are designed using sine cosine optimization (SCO...

Online Concurrent Workload Classification for Multi-core Energy Management

Modern embedded multi-core processors are organized as clusters of cores, where all cores in each cluster operate at a common Voltage-frequency (V-f ). Such processors often need to execute applications concurrently, exhibiting varying and mixed workloads (e.g. computeand memory-intensive) depending on the instruction mix and resource sharing. Runtime adaptation is key to achieving energy savin...

Adaptive resource control in multi-core systems

Multi-core systems present a set of unique challenges and opportunities. In this paper we discuss the issues of power-proportional computing in a multi-core environment and argue that a cross-layer approach spanning from hardware to user-facing software is necessary to successfully address this problem. 6⊂