摘要:
A computer-implemented method, a computer program product, and a system for selecting a host from a plurality of host for an application pattern component using a service level agreement (SLA) requirement are provided. The computer-implemented method for selecting a host from a plurality of hosts for an application pattern component using a service level agreement requirement can include receiving the service level agreement requirement for the application pattern component. The method can include receiving a first capability metric of the host from the plurality of hosts. The method can include determining whether the first capability metric of the host from the plurality of hosts is sufficient for the service level agreement requirement. The method can include selecting the host in response to the host being sufficient for the service level agreement requirement.
摘要:
A system and computer-implemented method for managing a workload in an environment is disclosed. The method may include establishing a shadow workload on a shadow computer environment, wherein the shadow workload is a copy of an original workload. The method may include communicating a shadow input for the shadow workload, wherein the shadow input is a copy of an original input for the original workload. The method may also include collecting an original output from the original workload and a shadow output from the shadow workload. The method may also include determining, by comparing the original output from the original workload with the shadow output from the shadow workload, whether the shadow computer environment is configured to operate the original workload.
摘要:
Virtual machines are allocated among servers in a virtual environment, whereby each virtual machine has a current placement. A current fitness score is calculated for each virtual machine based on its current placement. Proposed placement plans are then generated, each plan including a proposed placement of each virtual machine. For each plan, a plan score is created. Each plan score is created by calculating a proposed fitness score for each virtual machine based on a proposed placement of that virtual machine in accordance with that plan, generating a virtual machine score for each virtual machine based on a comparison of that virtual machine's current fitness score and proposed fitness score, and then combining the virtual machine scores. The plan scores are then compared, and a target plan is selected from among the plans. The virtual machines are then reallocated among the servers in accordance with the target proposed placement plan.
摘要:
Embodiments of the present invention provide an approach for determining distributions of virtual machine (VM) patterns across pools of VM instances based upon historical data (e.g., to achieve faster provisioning times). In a typical embodiment, a total pool size for a pool of VM instances is determined (e.g., based on historical data). Then, a distribution of a set of VM instance patterns across the pool is determined (e.g., also based upon historical data). Once the distribution has been determined, the pool of VM instances may be provisioned according to the distribution. In one embodiment, the VM patterns may be evenly distributed across the pool. In another embodiment, the VM patterns may be distributed according to percentages with which the VM patterns were previously requested. In yet another embodiment, the VM patterns may be grouped into two or more groups that are associated with particular user/customer level(s) (e.g., privilege and/or permission level, a service level purchased and/or specified by the consumer, etc).
摘要:
Virtual machines are allocated among servers in a virtual environment, whereby each virtual machine has a current placement. A current fitness score is calculated for each virtual machine based on its current placement. Proposed placement plans are then generated, each plan including a proposed placement of each virtual machine. For each plan, a plan score is created. Each plan score is created by calculating a proposed fitness score for each virtual machine based on a proposed placement of that virtual machine in accordance with that plan, generating a virtual machine score for each virtual machine based on a comparison of that virtual machine's current fitness score and proposed fitness score, and then combining the virtual machine scores. The plan scores are then compared, and a target plan is selected from among the plans. The virtual machines are then reallocated among the servers in accordance with the target proposed placement plan.
摘要:
Embodiments of the present invention provide an approach for monitoring electrical disturbance (e.g., surges, outages, etc.) possibilities, and then automatically isolating electronic devices (also referred to herein as electronics) for the duration of the disturbance (or threat thereof). In a typical embodiment, a probability of an electrical disturbance occurring at a specified location will be determined. Then, a set of device protection profiles will be accessed. The set of device protection profiles comprises a set of thresholds and a corresponding set of device topologies associated with a set of electronic devices positioned. The set of thresholds in the set of device protection profiles will then be compared to the probability to identify a matching device topology from the set of device topologies. According to the matching device topology, at least one electronic device will be isolated from an electrical power source.
摘要:
Embodiments of the present invention provide approaches for allowing management of a virtual machine (VM) by multiple cloud providers in a networked computing environment (e.g., a cloud computing environment). Specifically, in a typical embodiment, a system identifies a set of provisioned resources of a VM managed by a first cloud provider, generates a set of artifacts containing information for a second cloud provider to allow co-management of the VM by the first cloud provider and the second cloud provider, and provides access to the set of provisioned resources of the VM to the second cloud provider. As such, a single virtual machine may be managed by multiple (e.g., geographically distinct) cloud providers to cooperatively and selectively execute VM operations because the end product (i.e., VM) from the first and second cloud providers is the same.
摘要:
Embodiments of the present invention provide a set of algorithmic methods that can be used to select which partially and/or pre-provisioned virtual machines (VMs) should be used as a base platform to satisfy a new workload (e.g., provisioning) request received in a networked computing environment (e.g., a cloud computing environment). Specifically, when a workload request is received, a set (e.g., at last one) of software programs needed to process the workload request is identified. Then, a set of VMs is selected from a pool of pre-provisioned VMs having the set of software programs. In general, multiple methods and/or factors can be followed to select the set of VMs. Examples include a length of time to install the set of VMs, a probability of the set of VMs being in demand, and/or or a quantity of the set of VMs having the set of software programs. Once the set of VMs has been selected, the set of VMs may be installed, and the workload request can be processed using the set of software programs.
摘要:
Embodiments of the present invention relate to an approach for resolving and/or implementing policies based on layers of a network stack (e.g., cloud computing stack). Specifically, for a given policy that is being resolved, the system first evaluates the applicability of the policy to each layer in the network stack. For a given policy, the system then evaluates the relative effectiveness of applying the policy to achieve the overall goal of the policy. Based on the best fit evaluation of the relative comparison, the system then decides how and where the policy is enacted (e.g., determines a protocol for implementing the policy).
摘要:
Embodiments of the present invention provide an approach for determining distributions of virtual machine (VM) patterns across pools of VM instances based upon historical data (e.g., to achieve faster provisioning times). In a typical embodiment, a total pool size for a pool of VM instances is determined (e.g., based on historical data). Then, a distribution of a set of VM instance patterns across the pool is determined (e.g., also based upon historical data). Once the distribution has been determined, the pool of VM instances may be provisioned according to the distribution. In one embodiment, the VM patterns may be evenly distributed across the pool. In another embodiment, the VM patterns may be distributed according to percentages with which the VM patterns were previously requested. In yet another embodiment, the VM patterns may be grouped into two or more groups that are associated with particular user/customer level(s) (e.g., privilege and/or permission level, a service level purchased and/or specified by the consumer, etc).