Today, big data is generated from many sources and there is a huge demand for storing, managing, processing, and querying on big data. The MapReduce model and its counterpart open source implementation Hadoop, has proven itself as the de facto solution to big data processing. Hadoop is inherently designed for batch and high throughput processing jobs. Although Hadoop is very suitable for batch ...

UNLABELLED High-throughput content fingerprinting techniques employing capillary electrophoresis place new demands on the editing of fingerprint files for the downstream contig assembly program, FPC. A cross-platform software application, GenoProfiler, was developed for automated editing of sized fingerprinting profiles generated by the ABI Genetic Analyzers. The batch-processing module extract...

Today, online transaction processing applications can downsize from mainframes to microprocessors. Commodity database systems, operating systems, and hardware came of age in 1993., -they surpassed the online transaction processing performance of proprietary solutions. There are lingering doubts about downsizing batch transaction processing applications. The doubts center on the ability of micro...

In a batch processing network, multiple jobs can be formed into a batch to be processed in a single service operation. The network is multiclass in that several job classes may be processed at a server. Jobs in different classes cannot be mixed into a single batch. A batch policy specifies which class of jobs is to be served next. Throughput of a batch processing network depends on the batch po...

We introduce the Free Factory, a platform for deploying data-intensive web services using small clusters of commodity hardware and free software. Independently administered virtual machines called Freegols give application developers the flexibility of a general purpose web server, along with access to distributed batch processing, cache and storage services. Each cluster exploits idle RAM and ...

‎in this paper, we study a flow shop batch processing machines scheduling problem. the fuzzy due dates are considered to make the problem more close to the reality. the objective function is taken as the weighted sum of fuzzy earliness and fuzzy tardiness. in order to tackle the given problem, we propose a hybrid electromagnetism-like (em) algorithm, in which the em is hybridized with a diversi...

Data-intensive batch jobs increasingly compete for resources with customer-facing online workloads in modern data centers. Today, the two classes of workloads run on separate infrastructures using different resource managers that pursue different objectives. Batch processing systems strive for coarse-grained throughput whereas online systems must keep the latency of fine-grained enduser request...

Pattern reordering is proposed as an alternative to sequential and batch processing for online category learning. Upon detecting that the categorization of a new input pattern is ambiguous, the input is postponed for a predefined time, after which it is reexamined and categorized for good. This approach is shown to improve the categorization performance over purely sequential processing, while ...

The observation that a significant class of data processing and analysis applications can be expressed in terms of a small set of primitives that are easy to parallelize has resulted in increasing popularity of batch-oriented, highly-parallelizable cluster frameworks. These frameworks, however, are known to have shortcomings for certain application domains. For example, in many data analysis ap...