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Top 10 ways that IBM Platform Computing can help you save money
Let’s face it - IT infrastructure is expensive. This is especially true of the type of infrastructure used for clustered High Performance Computing (HPC) and analytic applications. For people not familiar with distributed workload management, claims around cost-savings can sound fanciful, so in short this post I wanted to take the time to clearly explain some of the money savers. Here are the ten effective ways that IBM Platform Computing software can help you do more with less: Running applications more efficiently: While we often focus on topics like clock speed and bandwidth as measures of performance, in distributed applications latency is what matters. This is especially true as computers get faster. If I have a series of tasks where each executes for 2 seconds, but I spend a full-second getting each task scheduled to a cluster node, I’ve just lost 33% of my productivity and added 50% to my cost. Platform Computing schedulers avoid this pitfall by providing as low as sub-millisecond scheduling latency removing the “white space” between jobs and keeping infrastructure close to 100% utilized. Sharing infrastructure more liberally: Everyone appreciates the value of sharing, but in complex IT environments it is often easier said than done. Various technical barriers and concerns about ownership, security and SLAs can cause line-of-business owners to purposely spend more on replicated infrastructure just to avoid these... [Continue Reading]
Tags:  hpc cloudcomputing softwaredefined sddn sdc platformcomputing highperformancecomputing |
IBM Introduces Hybrid Clouds for Compute Intensive Environments
Your organization might have deployed a cluster or grid on site. But can these resources always meet your peak demands? For example, what happens when several large projects move into the same simulation and design phase at the same time? Simply adding hardware to address peak workload requirements, especially if they are short term, is probably not an option. Expanding the physical infrastructure can require significant time, expertise and budget. And the data center may already be maxed out on power, cooling and real estate. What’s the answer? To address these challenges, at Pulse 2014, IBM announced the IBM Platform Computing Cloud Service , which provides ready-to-run clusters in the SoftLayer cloud that are optimized for compute-intensive technical computing and analytics applications. The Cloud Service comes complete with Platform LSF (SaaS) and Platform Symphony (SaaS) workload management software, dedicated physical machines and the support of the Platform Computing Cloud Operations team. Organizations that have on-site clusters or grids can quickly address spikes in infrastructure demand by implementing a hybrid cloud. Platform Computing Cloud Service enables these organizations to forward workloads from local infrastructure to a Platform LSF or Platform Symphony cluster in the SoftLayer cloud, quickly accommodating demand without being concerned about security or performance. Because the same workload... [Continue Reading]
Tags:  softwaredefinednetworking sde softwaredefined sds virtualizationmanagement socialbusiness softwaredefinedenvironmen... sddn virtualization cloudcomputing powersystems bigdata mobile ibmpulse infrastructurematters sdn sdc |