every year, with regard to rapid development of data, grid computing that is a kind of distributed computing system is that it has attracted the attention of most people and considerably taken into account. computing that cannot be done by huge computers can be performed by grid computing. if load balance is used, efficiency will increase in grid. resources have an important and effective role ...

the graphical technique for nonlinear circuits was described that enable us to optimize circuits to obtain maximum output power, maximum efficiency or minimum intermodulation. according to this method a high power amplifier in the ka band was designed. using a nonlinear model of the transistor, optimum slope for load-line was determined so that maximum power at the output was obtainable, then ...

MapReduce is a famous model for data-intensive parallel computing in shared-nothing clusters. One of the main issues in MapReduce is the fact of depending its performance mainly on data distribution. MapReduce contains simple load balance technique based on FIFO job scheduler that serves the jobs in their submission order but unfortunately it is insufficient in real world cases as it missed man...

Fourier Analysis Cyclic Reduction is a class of very eecient methods for the solution of Poisson's equation on regular grids. We show that exploiting the numerical properties of the tridiagonal systems involved may reduce the factorization work required to a few percent of a normal factorization. We also show that exploiting this property on distributed memory parallel processor architectures m...

Increasingly, replicated anycast servers are being used to deliver network applications and service ever increasing user requests. Therefore, the strategies used to guarantee network bandwidth prerequisites and perform load balancing across the nodes of an anycast group are critical to the performance of online applications. In this paper, we model user requests, network congestion and latency,...

Proper planning of assembly lines is one of the production managers’ concerns at the tactical level so that it would be possible to use the machine capacity, reduce operating costs and deliver customer orders on time. The lack of an efficient method in balancing assembly line can create threatening problems for manufacturing organizations. The use of assembly line balancing methods cannot balan...

One important issue in the DHT design is how to balance the load across the nodes in the system. To achieve load balance, existing DHT-based P2P systems simply resort to the hash function to map objects to nodes randomly. However, the use of DHT and the heterogeneity of nodes capacities may give rise to load imbalance problems, and affect the DHT system efficiency as well. A new load balance al...

Load balance mechanism does the vital role in high performance computing (HPC) and energy efficient computing (EEC). An effective load balance mechanism achieves high performance resource management. Several load management platform (e.g. Openstack, Nebula and Eucaluptus) available to simulate/perform status of algorithm. Load balance manager should be able to customize the resource management ...

By analyzing a large of history data and predicting load variance trend of host, We can offer the important basis to load balance and decide load balance strategy for effective load balance. However most load prediction re-search focus on flow prediction of the network or load prediction algorithm it-self used classical time series prediction method, usually it is ignored on load balance after ...

Computational grid nowadays has become a hotspot in high performance computing environments because it can solve larger scale computing problems. The present load balance strategy in computing grid such as the Globus tools is static. This paper mainly focuses on dynamic load balance in the computational grid. We put forward a new model that solves the dynamic load balance problems on computatio...