Sentence examples for management of computing from inspiring English sources
VMware, however, points to license changes on Microsoft software that it says limit the ability to move virtual-machine software around data centers to automate the management of computing work.
Management of computing infrastructure in data centers is an important and challenging problem, that needs to: (i) ensure availability of services conforming to the Service Level Agreements (SLAs); and (ii) reduce the Power Usage Effectiveness (PUE), i.e. the ratio of total power, up to half of which is attributed to data center cooling, over the computing power to service the workloads.
Enterprise distributed real-time and embedded (DRE) systems can benefit from dynamic management of computing and networking resources to optimize and reconfigure system resources at runtime in response to changing mission needs and/or other situations, such as failures or system overload.
The cloud providers, who own large datacenters composed of a large amount of computers with internet link, provide users with the environment of data storage and software development with abstract management of computing resources in the datacenters.
Specifically, this middleware solution is designed for management of compute resources, including instantiation of virtual machine images, construction and mounting of storage volumes, metadata aggregation, and other management tasks.
Efficient management of compute resources in such a system is challenging because various factors such as workload variation, QoS requirement change, and hardware failure may cause dynamic change in system status.
But automated provisioning and management of cloud computing resources is just one of three elements needed for intelligent workload management.
Sun's N1 (it stands for "Network One") is largely aimed at network management, where it figures 80% of computing budgets go.
This survey identified the following challenges that the participant companies are facing in solving optimisation problems: large number of objectives and variables, availability of computing resources, data management and data mining for optimisation workflow, over-constrained problems, too many algorithms with limited help in selection, and cultural issues including training and mindset.
Smartphones are the future of computing.
