OREANDA-NEWS. IBM today expanded its portfolio of software-defined infrastructure solutions with cognitive features to help clients improve the management of computing resources to achieve faster, results from data-driven applications and analytics.

The new IBM Spectrum LSF delivers comprehensive workload and resource management capabilities to research scientists for high-performance research, design and simulation applications. Ease of use is improved through an enhanced mobile user interface, improved reporting and workload visibility (credit: IBM)

The new intelligent resource and workload management software, called IBM Spectrum Computing is designed to make it easier for organizations to extract full value from data to accelerate performance-intensive analytics or machine learning.  This technology can be used across industries to help sequence genomes for improved cancer treatment, or for engineers to design a championship-winning Formula One race car or bankers to personalize financial services to attract new customers. 

IDC estimates the market for software-defined infrastructure – where the data center is managed, provisioned and automated by software regardless of compute, storage or network components -- to reach nearly $51 billion by 2019,[1] growing at a rate of 23.8 percent from 2014 to 2019. This makes it the fastest-growing segment of the infrastructure market, according to IDC.  

The IBM Spectrum Computing platform offers new cognitive, resource-aware scheduling policies that help increase the utilization of existing compute resources, controlling costs while speeding results for high performance computing, big data analytics, new generation applications and open source frameworks, such as Hadoop and Apache Spark.

IBM Spectrum Computing assists organizations with consolidating data center infrastructure and sharing resources across on-premise, cloud or hybrid environments -- and includes three new software products.