The Distributed Batch Controller (DBC) supports scientiic batch data processing. The DBC distributes batch jobs to one or more pools of workstations and monitors and controls their execution. The pools themselves may be geographically distributed, and need not be dedicated to processing batch jobs. We describe the use of the DBC in a large scientiic data processing application, namely the gener...

This paper deals with semi-online scheduling on two parallel batch processing machines with jobs’ nondecreasing processing times. Our objective is to minimize the makespan. A batch processing machine can handle up to B jobs simultaneously. We study unbounded model which means that B is sufficiently large. The jobs that are processed together construct a batch, and all jobs in a batch start and ...

The Distributed Batch Controller DBC supports scienti c batch data processing The DBC dis tributes batch jobs to one or more pools of workstations and monitors and controls their execution The pools themselves may be geographically distributed and need not be dedicated to process ing batch jobs We describe the use of the DBC in a large scienti c data processing application namely the generation...

front of the batch processor, where they wait to be processed. The batch processor has a finite capacity Q, and the processing time is independent of the number of jobs loaded into the batch processor. In certain manufacturing systems (including semiconductor wafer fabrication), a processing time window exists from the time the job exits the feeder processor till the time it enters the batch pr...

A batch processing machine can simultaneously process several jobs forming a batch. This paper considers the problem of scheduling jobs with non-identical capacity requirements, on a single-batch processing machine of a given capacity, to minimize the makespan. The processing time of a batch is equal to the largest processing time of any job in the batch. We present some dominance properties fo...

We consider the problem of minimizing the total late work ( n ∑ j=1 V j) on an unbounded batch processing machine, where V j = min{Tj, p j} and Tj = max{C j−d j,0}. The batch processing machine can process up to B (B≥ n) jobs simultaneously. The jobs that are processed together form a batch, and all jobs in a batch start and complete at the same time, respectively. For a batch of jobs, the proc...

Batch Normalization is quite effective at accelerating and improving the training of deep models. However, its effectiveness diminishes when the training minibatches are small, or do not consist of independent samples. We hypothesize that this is due to the dependence of model layer inputs on all the examples in the minibatch, and different activations being produced between training and infere...

Article history: Received 9 November 2007 Received in revised form 17 March 2008 Accepted 3 April 2008 Available online 6 April 2008

A resource typically executes a particular activity on a series of cases. When a resource performs an activity on several cases simultaneously, (quasi-) sequentially or concurrently, this is referred to as batch processing. Given its influence on process performance, batch processing needs to be taken into account when modeling business processes for performance evaluation purposes. This paper ...