Partner Spotlight: NICE Software
Accelerated and managed file transfer in the oil and gas industry
NICE Software delivers comprehensive grid & cloud solutions for companies and institutions aimed at increasing user productivity to access applications and computing resources. Since 1996, NICE Software has provided solutions built on its flexible EnginFrame Grid Portal technology, delivering leading software products aimed at organizational management and optimization of computing resources in a variety of industries including oil and gas, aerospace, automotive, life sciences, and telecommunications.
NICE Software had seen strong adoption by oil & gas computing applications as its software allows petroleum engineers to reduce submission time, track run time, efficiently manage the large data-sets associated with daily uploads. However, within this industry a considerable amount of time was being spent waiting for large data sets containing geophysical, seismic, and other types of data to be collected and exchanged. “The problem experienced by a client of ours was submitting jobs from Perth, Australia to Houston, Texas,” said Antonio Arena, Solutions Architect at NICE Software. “The data sets can vary in size from 2GB to 5GB. Engineers had to transfer the files to Houston using Windows Explorer, submit to the cluster and then copy back the results.” Furthermore, network conditions often add to file transfer issues causing many failed and unreliable transfers of crucial data.
To accelerate file transfer within NICE Software’s solution, FileCatalyst Direct was integrated within the existing EnginFrame software. The FileCatalyst Direct point to point solution enabled accelerated and managed file transfers with its UDP-based technology, transferring files of any size at speeds of up to 10 Gbps, between cities, countries and even continents.
Using FileCatalyst allowed EnginFrame client organizations to recoup lost time via rapid access to valuable data, applications and resources. “We are pleased to report that this has resulted in measurable increased efficiencies.” said Antonio Arena. The increased efficiencies were seen in faster file transfers, dramatically increased reliability, and also in reduced run times for CPU intensive applications such as seismic analysis and reservoir simulation.