Abstract:
A technique for cloud infrastructure backup in a virtualized environment utilizing shared storage includes obtaining a workload input/output (I/O) profile to the shared storage over a time period. An attempt to locate one or more time windows in the workload I/O profile for which a cloud infrastructure backup can be staged is initiated. In response to determining the cloud infrastructure backup can be staged during at least one of the time windows, staging of the cloud infrastructure backup is scheduled during a selected one of the time windows. In response to determining the cloud infrastructure backup cannot be staged during at least one of the time windows, an interference tolerance approach is employed for accessing the shared storage for active workloads and the cloud infrastructure backup during the staging of the cloud infrastructure backup.
Abstract:
In some aspects, a computer-implemented method for diagnosing an unfavorable mobile application user experience is described. The method may include retrieving user application interaction data from a mobile device, inter-correlating the user application interaction data, updating a user interaction database with the inter-correlated user application data, and diagnosing, via a processor operatively connected to the user interaction database, information indicative of a cause of the unfavorable user experience.
Abstract:
A system and method for iteratively deploying a workload pattern are provided. The system and method determines a current set of requirements for at least one piece of the workload pattern that is initiated in a designer and generates a stability metric for at least one of the current set of requirements. The system and method further compares the stability metric to an acceptance threshold and calculates an estimated time to deploy the at least one piece of the workload pattern based on the comparing of the stability metric to the acceptance threshold.
Abstract:
A method, system and computer program product for optimizing runtime performance of an application workload. Network input/output (I/O) operations between virtual machines of a pattern of virtual machines servicing the application workload in a private cloud are measured over a period of time and depicted in a histogram. A score is generated for each virtual machine or group of virtual machines in the pattern of virtual machines based on which range in the ranges of I/O operations per seconds (IOPS) depicted in the histogram has the largest sample size and the number of virtual machines in the same pattern that are allowed to be in the public cloud. In this manner, the runtime performance of the application workload is improved by minimizing the network input/output communications between the two cloud environments by migrating those virtual machine(s) or group(s) of virtual machines with a score that exceeds a threshold value.
Abstract:
Methods and systems may provide for reducing workloads of neighboring virtual machine tenants in a cloud environment with shared storage using pro-active log offloading. Additionally, logging activity may be redirected to reduce input/output resource consumption. Trends in future input/output activities may be determined and preemptive action may be implemented to reduce performance impact of the neighboring tenants.
Abstract:
A method, system and computer program product for selecting virtual machines to be migrated to a public cloud. The current resource usage for virtual machine instances running in the private cloud is determined. Furthermore, any scaling policies attached to the virtual machine instances running in the private cloud are obtained. Additional resource usages for any of the virtual machine instances with a scaling policy are computed for when these virtual machine instances are scaled out. A cost of running a virtual machine instance in the public cloud is then determined using its current resource usage as well as any additional resource usage if a scaling policy is attached to the virtual machine instance based on the cost for running virtual machine instances in a public cloud. If the cost is less than a threshold cost, then the virtual machine instance is selected to be migrated to the public cloud.
Abstract:
An approach is provided for an information handling system to select a cloud environment for a workload. In the approach a number of provisioning delays are identified with each of the provisioning delays corresponding to the workload being provisioned at a different cloud-based environment. One of the cloud-based environments is selected, with the selected cloud-based environment being based on the provisioning delay that was identified to provision the workload at the selected cloud-based environment. The workload is then deployed at the selected cloud-based environment.
Abstract:
According to one aspect of the present disclosure a method and technique for dynamic system level agreement provisioning is disclosed. The method includes: identifying, by a data processing system of a computing environment service provider, service level criteria for a customer of computing services; determining characteristics of the computing environment; identifying a time period for providing the computing services; evaluating one or more utility functions defining service level variables; and automatically determining, by the data processing system, a service level agreement (SLA) provision for the customer based on the one or more utility functions.