Email: [email protected] Abstract: The Map/Reduce paradigm has dominated cloud computing since its beginnings. However, there are some scenarios in which Map/Reduce is not the best model. Once such situation is a system that collects data dynamically, with intermittent arrival times. In this study, we study a modified form of Map/Reduce that uses a load balancer to distribute work, rathe...

The development of a monitoring system to identify the presence of laying hens, in a closed room of a free-range commercial organic egg production farm, was the aim of this study. This monitoring system was based on the infrared (IR) technology and had, as final target, a possible reduction of atmospheric ammonia levels and bacterial load. Tests were carried out for three weeks and involved 7 I...

Abstract Bidirectional static load tests to evaluate the axial load-bearing capacity of large cross-sectional bored piles are indispensable. Nonetheless, this test is complicated, costly, and easy fail. A case history a bidirectional conducted in HoChiMinh City reported analyzed. In particular, pile with 1.8m diameter ∼60m embedment length, located Tan Binh district, City, tested using test. Th...

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...

Load balancing in computer networks is one of the most subjects that has got researcher's attention in the last decade. Load balancing will lead to reduce processing time and memory usage that are the most two concerns of the network companies in now days, and they are the most two factors that determine if the approach is worthy applicable or not. There are two kinds of load balancing, distrib...