The past few years have seen a major change in computing systems, as growing data volumes and stalling processor speeds require more and more applications to scale out to clusters. Today, a myriad data sources, from the Internet to business operations to scientific instruments, produce large and valuable data streams. However, the processing capabilities of single machines have not kept up with the size of data. As a result, organizations increasingly need to scale out their computations over clusters.
At the same time, the speed and sophistication required of data processing have...
The past few years have seen a major change in computing systems, as growing data volumes and stalling processor speeds require more and more appli...
The past few years have seen a major change in computing systems, as growing data volumes and stalling processor speeds require more and more applications to scale out to clusters. Today, a myriad data sources, from the Internet to business operations to scientific instruments, produce large and valuable data streams. However, the processing capabilities of single machines have not kept up with the size of data. As a result, organizations increasingly need to scale out their computations over clusters.
At the same time, the speed and sophistication required of data processing have...
The past few years have seen a major change in computing systems, as growing data volumes and stalling processor speeds require more and more appli...
