In systems aiming at high-speed distributed applications, load balancing plays an essential role. If a process can be easily broken down into several sub-parts, it is possible to do the load balancing transparently to the user application. This is possible if processes consist of multiple threads, distributed objects, or logical nodes. Then some of these parts could be transparently migrated fr...

—This paper proposes a new load balancing strategy, called Comet, for fast multi-agent cluster computing. We use a new load index that takes into account the cost of inter-agent communications. Agents with predictable workload are assigned statically to cluster nodes, whereas agents with unpredictable workload are allowed to migrate dynamically between cluster nodes using a creditbased load bal...

We describe a dynamic load-balancing strategy for parallel finite element methods with adaptive mesh (h-) and order (p-) refinement. The load-balancing algorithm is based on the tiling load-balancing system, where global balance is achieved by performing local balancing within overlapping neighborhoods of processors. Tiling is applied to each mesh level created by the adaptive h-refinement. Wei...

Load balancing algorithms play critical roles in systems where the workload has to be distributed across multiple resources, such as cores in multiprocessor system, computers in distributed computing, and network links. In this paper, we study and evaluate four load balancing methods: random, round robin, shortest queue, and shortest queue with stale load information. We build a simulation mode...

This paper describes a middleware architecture for distributed automotive systems that supports dynamic load balancing of tasks. Load balancing could be applied if an external device is added to the vehicle. The middleware architecture has to deal with the fusion of such non-built-in devices. An important factor to set up such a system is the identification of the requirements that should be ha...

In distributed systems, servers offer their service to independent clients. It is the load balancing problem to assign jobs to servers. Dynamic load balancing has great potential to outperform static policies in spite of the overhead for measurement and system state information exchange. Problems arise if the system state information used as criterion for the job assignment is not up to date. T...

We present a method of balancing for nonlinear systems which is an extension of balancing for linear systems in the sense that it is based on the input and output energy of a system. We deal with the input and output energy function of a stable nonlinear systems and propose a method to use these functions to get a balanced form for a stable nonlinear system. It is a local result, but gives ‘bro...

The paper highlights the significance of open source software for distributed computing environment and proposes an adaptive load balancing model using open source software for distributed computing environment. The load balancing strategies used by the model are based on load of the system. The proposed algorithm uses current load, response ratio and processor utilization of the nodes of the w...

In this paper, we present an adaptive version of our previously proposed quality equalizing (QE) load balancing strategy that attempts to maximize the performance of parallel branch-and-bound (B&B) by adapting to application and target computing system characteristics. Adaptive QE (AQE) incorporates the following salient adaptive features: (1) Anticipatory quantitative and qualitative load bala...

Abstract In DHT-based P2P systems, the use of DHT and the heterogeneity of node capacities can cause a load imbalance problem, which may affect the DHT system efficiency. Many solutions have been proposed to tackle the load balancing issue. However, the convergence rate is still low, and they reassign loads among nodes without considering security factor. This paper proposes a security-aware lo...