1. Spotlight on the Petroleum and Energy Vertical February 18, 2014

2. Introduction John Tkaczewski, President and Co-Founder
Andrea Rodolico, CTO and Co-Founder, NICE
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3. Overview Big Data Challenges Facing Energy Organizations
FileCatalyst - Why Accelerated File Transfer?
NICE Introduction
Joint Solution – EnginFrame and FileCatalyst
Case Study
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4. Big Data Challenges Global operations Vs. HPC centralization
Data acquisition for drilling and exploration
Engineering, construction, simulation data is VERY big but it is usually highly compressible
Data distribution to geographically dispersed interpretation and analysis locations
Diverse networks (Fiber, Satellite, 3/4G, Cable/DSL, Microwave), sometimes unreliable or congested
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5. Why Accelerated File Transfer?
File transfer acceleration technology allows large “big data” files to be sent quickly over large geographical distances without being impeded by network impairments such as latency and packet loss
Accomplished by transferring files using the UDP protocol instead of the TCP protocol, the protocol used for FTP
UDP wastes no time communicating about the receipt of a block of data so that regardless of network latency data transmission remains constant, thus overcoming the peak and valley effect that occurs with TCP based protocols on links with high latency
Reliability and congestion control is added to UDP at the application layer thus it doesn’t sacrifice its other desirable properties
Fine grain bandwidth management
Smart resume and re-try of large file transfers. MD5 checksum is performed before a file is resumed
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6. Speed Gains with Acceleration vs. FTP
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7. NICE Introduction
EnginFrame: the leading HPC Portal for Oil&Gas applications
Web based, intuitive, scheduler independent interface to address all HPC and Interactive needs of Technical Computing users
Works with leading HPC applications including reservoir simulation, seismic analysis, fluid dynamics, structural analysis, etc.
Desktop Cloud Visualization (DCV): 3D without workstations
Enable high end 3D applications to be run securely, close to the data, in the Private or Public Cloud, optimizing network usage over WAN and enabling collaboration and full mobility
NICE Services: accelerate Technical Cloud adoption
Comprehensive service offering to analyze, implement and evolve Technical Cloud solutions based on NICE and 3rd party tools
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8. O&G “Technical Cloud” Architecture
Access
Self-Service Offering
Resources
Thin viewer
Collaborators,
Support staff
Linux & Windows 3D sessions
DCV protocol
Visualization
Servers
HTTP(S)
Storage
End Users
FileCatalyst protocol
FC Hot Folder
FileCatalyst Server
HPC schdulers
HPC jobs
Developers,
Integrators
SOAP

9. Result: Fully Centralized HPC Workflows

10. 5 Key benefits of the Technical Cloud
Comprehensive, engineer-friendly experience
Web based, command line, seamless job and data correlation
Boosts existing data management
Centralized, distributed, mixed, incremental transfers
Hide the complexity of distributed systems
Multiple HPC schedulers, multiple clusters, batch and visualization
Compatible with Mainstream ISV applications
Wrapping of HPC solvers, programmable APIs, full 3D management
Ready for today’s complex Oil&Gas requirements
Standards based, SSO support, secure deployments, non-intrusive

11. Case Study: Global Oil Company
Houston
The engineers submit jobs from KL, Perth and other locations to Houston. The data sets vary from 2GB to 5GB. They transfer such large files to Houston using Windows Explorer, submit to the cluster and then copy back the results.
Data transfer can take hours and overload the corporate network during peak time.

12. Improved User Workflow
User in KL/Perth submits ECLIPSE jobs through EnginFrame
Input files are uploaded by EnginFrame Multiple File Upload Applet through FileCatalyst
Uploaded files are cached by EnginFrame
INCLUDE/SLAVES statements are analyzed and uploaded automatically
Before upload occurs, the central cache is checked
Cache is global for all the EnginFrame users, to maximize time savings
FileCatalyst provides bandwidth control during peak hours
Job starts and results are incrementally copied back to KL/Perth, while the job is running
EnginFrame “job spooler” sync through FileCatalyst
Unattended; no action required by the user

13. The Solution: EnginFrame + FileCatalyst
Houston
FC Hot Folder
Web browser
Server, Agent, Cache
FC Server
FileCatalyst accelerates and automates transfer of input and output files. It seamlessly integrates with EnginFrame and eliminates most manual steps previously required.
The integration has considerably improved the ease of use and reliability of the workflows, shortening time for each HPC iteration and reducing network usage and congestion.
Data transfers went down from hours to seconds!

14. How to contact us For more information about NICE
For more information about FileCatalyst
Full case study on:
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15. Upcoming Events
- Prime Time, Ottawa Westin Hotel (Feb ) - FileCatalyst User Forum, Canadian High Commission, London, UK (Feb. 24th) - BVE 2014, Excel, London, UK (Feb 25-26) - CABSAT 2014, Dubai World Trade Centre (March 11-13) - NAB Show, Las Vegas, Nevada (April 5-10) And of course don’t forget our monthly webinars...
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16. Thank you! Questions?