Aiming at the stalemate that precision, speed, robustness, and other parameters constrain each other in the parallel processed vision servo system, this paper proposed an adaptive load capacity balance strategy on the servo parameters optimization algorithm (ALBPO) to improve the computing precision and to achieve high detection ratio while not reducing the servo circle. We use load capacity fu...

Balance beam, a controller that is built adopting the gyro effect, can freely control the attitude of an unstructured object by means of the position controlling of an inner gimbal. However in the former research, the weight (inertia) of a load should be known to issue a proper command for the gimbal, which makes it hard to operate the balance beam in field applications because the load can be ...

one of the most challenges in parallel computing is how to balance the load over participated processors. Imbalance states usually increase the execution time and thus decrease the performance and minimize the utilization of computing resources. Two main types of load balancing strategies are discussed in literature; static and dynamic. Few works were focused to combine both of them as hybrid s...

New load schedules for the machine calibration of a six–component force balance are currently being developed and evaluated at the NASA Ames Balance Calibration Laboratory. One of the proposed load schedules is discussed in the paper. It has a total of 2082 points that are distributed across 16 load series. Several criteria were applied to define the load schedule. It was decided, for example, ...

In IEEE 802.11, load balancing algorithms (LBA) consider only the associated stations to balance the load of the available access points (APs). However, although the APs are balanced, it causes a bad situation if the AP has a lower signal length (SNR) less than the neighbor APs. So, balance the load and associate one mobile station to an access point without care about the signal to noise ratio...

Traditional load balancing algorithms for data-intensive iterative routines can successfully load balance relatively small problems. We demonstrate that they may fail for large problem sizes on computational clusters with memory heterogeneity. Traditional algorithms use too simplistic models of processors’ performance which cannot reflect many aspects of heterogeneity. This paper presents a new...

In a service-oriented multi-tenant SaaS application, all tenants share services and user requests of the service change dynamically. In order to provide high-quality web services, we must solve the problem of the load unbalance caused by dynamic user requests’ change. This paper proposes an approach based on hypergraph partition to keep load balance for serviceoriented multi-tenant SaaS applica...