Red Hat MRG

Industry Use Cases

Red Hat Enterprise MRG is broadly applicable across a variety of industries, and can be used to optimize technologies already in place. Industries where MRG is leveraged frequently include:

MRG can also be utilized in cooperation with cutting-edge technologies such as:

Financial Services

Nowhere is the adage "time is money" more applicable than financial institutions. MRG Realtime's deterministic response times equates to competitive edge. With increasing international fair trading regulations, increasing pressure is placed on today's financial institutions to deploy systems with consistent response times.

The trading industry is experiencing an explosive growth in trade volumes and shrinking trade size. Red Hat Enterprise MRG's Realtime capabilities provides the low-latency solution required by the trading firms to cope with this volatility. Red Hat Enterprise MRG also provides a high-speed Messaging solution using AMQP that is optimized for MRG's Realtime kernel to help Wall Street address its need for low-latency, high-performance infrastructure.

Red Hat Enterprise MRG's Grid and High Throughput Computing (HTC) capabilities provide financial services companies with the power they need to process intensive workloads like Monte Carlo algorithms. Furthermore, by enabling scheduling to local and remote grids, rented cloud capacity; and cycle-stealing from desktop PCs, MRG Grid provides the flexibility to make use of all available computing capacity.

Additional information: Red Hat's Financial Services Solutions

Government

Military command and control deployments have a strong need for predictable, low-latency response time. Increasingly, realtime RTSJ compliance is a requirement in this vertical, making the combination of IBM WebSphere Real Time or Sun Java Real-Time System and MRG Realtime a compelling platform for realtime Java.

Red Hat Enterprise MRG's Messaging capabilities enable reliable and fast messaging capabilities - even for multigigabyte message - for distributing crucial information.

Red Hat Enterprise MRG's Grid and High Throughput Computing (HTC) capabilities provide the computational power needed to process intensive workloads and make use of all available computing resources.

Additional information: Red Hat's Government Solutions

Healthcare

The growing use of IT in healthcare is increasing the amount of data that needs to be exchanged. Traditional message transports for HL7 either do not scale (MLLP, FTP) or are proprietary and expensive. MRG Messaging implements the open Advanced Message Queuing Protocol (AMQP) standard to provide a valuable, scalable message transport. Additionally, MRG Grid provides a powerful platform for conducting scientific research and processing complex workloads.

Additional information: Red Hat's Health Care Solutions

Telecommunications

Reliable processing of network traffic within extremely tight time constraints is the hallmark of the Telco vertical. MRG Realtime is the industry's leading Linux Commercial Off The Shelf (COTS) offering based on upstream technology.

Additional information: Red Hat's Telco Solutions

Virtualization

Most - if not all - workloads and environments can benefit from virtualization. But, how do you leverage virtualization if:

  • You have thousands or tens of thousands of heterogeneous servers running different applications?
  • You have high variability or seasonality in your workloads?
  • You want to utilize additional resources that aren't in your datacenter?
  • You want to treat your datacenter as a computing utility or "internal cloud?"

MRG Grid's integrated support for virtualization enables enterprises to manage virtualization in large-scale deployments, and integrate them with non-virtualized workloads and cloud infrastructure. MRG's grid scheduler can automatically handle virtualization management tasks, such as starting, stopping, or live-migrating a virtual machine. MRG Grid's support for features like prioritization and backfill can also further optimize utilization when deploying virtualization technologies.

Cloud Computing

MRG Grid includes integrated support for scheduling jobs to Amazon EC2. MRG Grid's scheduler can automatically:

  • Instantiate capacity in the cloud
  • Send jobs and data to the newly available capacity in the cloud
  • Execute and monitor the jobs in the cloud
  • Retrieve and handle job results
  • Tear down the capacity in the cloud when the job has finished

This capability allows enterprises to add capacity dynamically to existing data centers when they need additional processing power. Alternatively, companies that might not be able to utilize fully a local grid can leverage MRG to instantiate dynmically a grid on-the-fly in the cloud for the times that they do need access to a grid. Finally, MRG Grid enables enterprises to blend seamlessly cloud-based infrastructure with local infrastructure.

High Performance Computing (HPC)

Based on the Condor scheduler, MRG Grid provides the most advanced and scalable platform for High Throughput and High Performance Computing, with capabilities like:

  • Scalability to run the largest grids in the world
  • Advanced features for handling priorities, workflows, concurrency limits, utilization, low latency scheduling, and more
  • Support for a wide variety of tasks, ranging from sub-second calculations to long-running, highly parallel (MPI) jobs
  • The ability to schedule to all available computing resources, including local grids, remote grids, virtual machines, idle desktop workstations, and dynamically provisioned cloud infrastructure