A workload is the amount of processing a computer or a server undertakes to execute an application and support a number of users interacting with the application. As computing is increasingly abstracted from the end user device to remotely located server(s) along with migration of workloads from premise-based networks to cloud networks, they create new network requirements in both traditional and cloud datacenter environments. Traditionally, one server carried one workload. However, with increasing server computing capacity, there has been increasing virtualization—multiple workloads per physical server. Cloud economics includes server cost, resiliency, scalability and product lifespan (et al.). These considerations often lead to organizations to move from traditional data centers to cloud data centers. This enables the migration of workloads across servers—both inside the data center and across data centers (even in a different geographic area). Often times an end user application could be supported by several workloads distributed across servers – this would lead to generation of multiple streams of traffic within and between datacenters in addition to the end user. Here’s a major milestone: In 2014 the balance of Workloads shifts towards cloud for the first time – 51% of total workloads will be in cloud environment vs. 49% in the traditional IT space. By 2017, 63% of workloads will be processed in Cloud and only 37% in Traditional Data Centers.Overall Workload growth from 2012-2017 – 2.3 timesCloud Workload growth from 2012-2017 – 3.7 timesTraditional WL growth from 2012-2017: 1.4 times CAGR 2012-2017Cloud CAGR = 30% over forecast periodTraditional Data Center CAGR = 6% over forecast period