There has been a great significance of dynamic load balancing strategies for public cloud infrastructures (PCIs). An optimized load balancing strategy can enhance the performance of PCIs many folds. The predominant requirements for optimal public cloud are the efficient resource utilization and data security. On the other hand the dynamic load scheduling can make cloud system operational effici...

Dynamic load balancing is an important step conditioning the performance of parallel programs, like adaptive mesh refinement codes. If the global workload varies drastically over time (such that memory is exceeded), it can be relevant to adjust the number of processors while maintaining the load balanced. We propose two different solutions, that extend classic graph repartitioning approaches to...

This paper describes the design and implementation of a dynamic threshold policy (to be used to classify local node availability, for load-balancing purpose). The experiments were built upon the Extended Gradient algorithm, running over Linux/X86 computing nodes. Results validating the usefulness of the dynamic threshold policy are presented.

The paper presents the mechanisms for dynamic load distribution implemented within the support for the Parallel Objects (PO for short) programming environment. PO applications evolve depending on their dynamic need of resources, enhancing application performance. The goal is to show how dynamic load distribution can be successfully applied on a massively parallel architecture.

Planning robot trajectory is a complex task that plays a significant role in design and application of robots in task space. The problem is formulated as a trajectory optimization problem which is fundamentally a constrained nonlinear optimization problem. Open-loop optimal control method is proposed as an approach for trajectory optimization of cable parallel manipulator for a given two-end-po...

Dynamic balancing of computation and communication load is vital for the execution stability and performance of distributed, parallel simulations deployed on the shared, unreliable resources of large-scale environments. High Level Architecture (HLA) based simulations can experience a decrease in performance due to imbalances that are produced initially and/or during run time. These imbalances a...