IBM Platform Computing for grid and high-performance computing cloud benefits

We can determine the two user segments in the technical computing market. A section is made up of business/application users who try to get applications to meet business requirements. The other part is departmental or enterprise-level IT organizations that are trying to run these applications more efficiently by providing IT support.

In fact, applications are becoming more complex in the business and application user segments. For example, a risk management class solution tries to improve the effect by providing more complex algorithms or adding more data.

All of this complexity drives businesses to need more IT resources. Customers do not have access to these resources because, according to the budget, they cannot afford the related costs, and the opportunities that enterprises can obtain are restricted. This method is considered to be relevant to the demand side. From the vendor's point of view, the IT organization has a silo data center for different application groups to ensure that customers have the appropriate level of service and availability when they need it. Typically, the infrastructure is often not ideal, as important workload requirements drive the overall scale of the infrastructure up and the existing resources are overallocated. Unfortunately, IT organizations cannot add more hardware because of expenses.

People are trying to find different solutions. You can leverage new technologies, such as graphics processing units (GPU), or try to move to a shared computing environment to simplify the complexity of operations. A shared computing environment can standardize its requirements among multiple groups. This effectively provides environmental visibility, which can be viewed as a larger IT infrastructure, and customers do not have to pay full funding for this. This provides a portfolio effect for all requirements. In addition, all IT resources are static and customers may want to get rid of cloud service providers. If customers have short-term requirements, they can increase resource roles, but do not have to keep these resources for long.

Businesses and users have many needs. These resources come from the IT side. How can we allow the two sides to collaborate better without increasing costs?

The IBM Platform Computing solution provides shared functionality for technical computing and analysis in a distributed computing environment. This shared services model breaks the concept of silo application environments and creates a shared grid that can be used by multiple groups. The Shared services model offers many advantages, but it is also a complex management process. We will provide four key competencies for all solutions at a higher level.

Create a shared resource pool, which applies both to compute-intensive applications and to data-intensive applications, which are actually heterogeneous resource pools. The resource pool contains physical, virtual, and cloud components to facilitate users. Users do not know that they are using a shared grid. They only know that they need to be able to properly combine access to all resources. Shared services are sent to multiple user groups and sites, in many cases even globally. We can use many types of applications. Flexibility is critical to breaking down the organization's existing silos. We offer a number of management methods to ensure that you have the right security and priority, and that all reports and analytics can help you manage these environments.

Workload management is where we will apply the policies on the demand side, ensuring that the appropriate workloads are given the appropriate priority and then allocating the appropriate resources to them. Therefore, we need to understand both supply and demand. We can provide the right algorithm to maximize the use and optimization of the overall environment, thus delivering fully automated and streamlined service level agreements (SLAs). If you have interdependent workloads, you can coordinate these workflows and achieve a high level of utilization of the overall resource pool.

transforms a static infrastructure into a dynamic infrastructure. If you have hardware that is not dedicated, such as servers or desktops, you can add them to the overall resource pool in an intelligent way. We can distribute the workload from the inside or outside to the third party cloud. You can also take advantage of virtualization in some places with multiple management programs. You can change the nature of the resource and optimize the overall throughput of the shared system based on the workload queues.

Advantage

IBM Platform Computing is a software that manages complex computing, and is actually a compute-intensive or data-intensive software that runs on large computer networks by optimizing all resource workloads and dramatically reducing the time to get results.

IBM Platform Computing Software offers several important advantages:

improves utilization because we reduce the number of it silos across the organization increasing the throughput of the work done by the computer network improves the organization's it flexibility by reducing the number of errors

Shared distributed computing is one of the key concepts. Distributed computing is the computer network. Sharing is a collection of multiple groups that can be connected using a large network and computer without increasing costs. This concept is a key message for many CFOs or CEOs. Because it can do more work without increasing costs and effectively increase the calculation output for you.

We will see this concept in two major areas. One area is scientific or engineering applications, for product design or breakthrough science. Another area is the increasingly common, large, complex business tasks in the industry, such as financial services or risk management. These tasks are necessary for banks and insurance companies that require complex analysis of large datasets.

In financial services, pre-trade analysis and risk management applications can be used to help people make decisions in real time.

In the semiconductor and electronics industries of Electronic Design automation (EDA), the simulation analysis required by the design of the customer can help customers to enter the market faster.

In the field of industrial manufacturing, it is possible to help people create better product designs by strengthening the background of computer-aided design (CAD), aided Engineering (CAE), and OMG model-driven Architecture (MDA) applications.

In the field of life sciences, it is possible to accelerate drug development and shorten the time to obtain results in genomic sequencing.

Oil and gas sharing applications are seismic and resource-storage applications, and we can shorten the time to get results to discover reserved resources and determine how to utilize other production resource reserves.

Clusters, grids, and clouds

A cluster is usually a single application or a single group. Because clusters become a grid in multiple applications, multiple groups, and multiple locations, you need more advanced policy-based scheduling to manage it.

Now that we are in the cloud, cloud computing focuses on how to use a more dynamic infrastructure than the infrastructure with on-demand self-service. Interestingly, when we started thinking about using cloud computing, many grid customers had considered turning their grids into clouds. This evolution extends the ability of the platform to manage distributed computing heterogeneous complexity. This management capability has many applications in the cloud. Figure 1-1 shows the evolution of clusters, grids, and HPC clouds.

Figure 1. Evolution of distributed computing

Figure 1 illustrates the transition from cluster to grid to cloud, and demonstrates how IBM expertise in various categories provides a natural location for IBM Platform Computing Solutions as markets evolve to the next stage.

Understanding the evolution of various workloads from the HPC world to financial services with the concept of risk analysis, risk management, and business Intelligence (BI) is also interesting. Data-intensive application and analysis class applications in the installation library are being widely used.

As you upgrade and people migrate from the cluster to a more dynamic cloud infrastructure grid, the application workload types become more complex. We also see the evolution of HPC and private cloud management cloud computing in the Fortune 2000 installation library.

This evolution is now happening in many different industries, from life sciences to computing, engineering, and defense digital fields. Cloud computing is a good fit for anyone who needs a stronger computing power. If you don't want to move the data, but you want the computation to have a data affinity, then the good applicability of cloud computing can solve more complex tasks. How do you summarize and manage all the complexities? You can use the capabilities of the IBM Platform Computing solution to scan all these areas. This feature will vary depending on the market.

IBM Platform Computing Solutions are widely regarded as industry standards for computational-intensive design, manufacturing, and research applications. IBM Platform Computing is a choice for mission-critical application vendors. Mission-critical applications can massively use complex applications and workloads in heterogeneous environments. IBM Platform Computing is validated by the enterprise, with large enterprises in the most complex situation with nearly 20 years of cooperation history. IBM Platform Computing has a glorious history of managing large distributed computing environments, with proven results.