At the top of operational and tactical levels is the scheduling problem. It is here where decisions are made on how to operate machinery to produce a set of different PCBs (usually how to execute the weekly production plan). The next hierarchy level includes grouping and line balancing problems. For the linebalancing problem, the challenge is balancing the workload of different machines when pr...

In many practical manufacturing environments, setups consume a significant amount of industrial resources. Therefore, reducing setups in a non-identical parallel machine environment will significantly enhance a company’s performance level. In this thesis, the problem of minimizing total completion time with load balancing and sequence-dependent setups in a non-identical parallel machine environ...

Adaptive Distributed Applications in Java (ADAJ ) is a platform developed for execution of distributed applications in Java. The objectives of this platform is to facilitate application design and to efficiently use the power of distributed computing. The ADAJ offers both a programming and an execution environment. In the latter it implements object observation and load balancing mechanisms. Th...

We propose, design, implement and test a prototype for load balancing in distributed systems. It is based on ideas from a new analytical model, the multiclass G-Network with triggered customer movement, which is used to model strategies for load balancing. We summarize the new results on \product form networks" which extend the analytical formulas previously derived for multiclass networks 19] ...

The resource management is the central component of grid system. The analysis of the workload log file of LCG including the job arrival and the resource utilization daily cycle shows that the idle sites in the Grid are the source of load imbalance and energy waste. Here we focus on these two issues: balancing the workload by transferring jobs to idle sites at prime time to minimize the response...

The ever-increasing demand for web applications deployed across multiple data centers results in large electricity costs for service providers and significant impact on the environment. This has motivated service providers to move towards more sustainable data centers powered by renewable or green sources of energy, such as solar or wind. However, efficient utilization of green energy to servic...

A number of technology and workload trends motivate us to consider a new request distribution and load balancing strategy for streaming media cluster. First, in emerging media workloads, a significant portion of the content is short and encoded at low bit rates. Additionally, media workloads display a strong temporal and spatial locality. This makes modern servers with gigabytes of main memory ...

Nowadays energy consumption problem is a major issue for data centers. The energy consumption increases significantly along with its CPU frequency getting higher. With Dynamic Voltage and Frequency Scaling (DVFS) techniques, CPU could be set to a suitable working frequency during the running time according to the workload. On the other side, reducing frequency implies that more servers will be ...

The emergence of dynamically structured computations, which run on parallel and distributed resources, motivates us to develop advanced algorithms for load balancing and distribution. Efficient load balancing can be defined as the process of distributing the work among a set of processors, such that the processors are kept busy as much as possible (maximizing the efficiency) and, at the same ti...

Any code that parallelizes computational work is required to come up with a method to load balance the work across the available processors. Most codes of this nature use some heuristic to decide how to perform this load balancing. In essence, they must have a (cheap) method of coming up with a number to act as a proxy for dividing up the actual computational work. For some applications that us...