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計算工作管理套件 - Moab Adaptive Computing
 Moab Adaptive Computing Suite

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Capabilities

Moab Adaptive Computing Suite is a policy-based intelligent cloud management system that automates the request and dynamic allocation, provisioning, and re-purposing of resources for requested IT services. It provides a self-service web application for users to request catalog-based services, makes intelligent decisions on the availability and best match of resources to utilize for the service requests, then reserves and enables chargeback for the resources. This intelligent decision making is critical not only for rapid delivery, but also avoids services failures as a result of being placed on resources that cannot fully meet their needs, which in turn generates problems for the IT department and causes business disruptions.

Moab Adaptive Computing Suite automates, through a customers preferred resource managers, the activities needed to quickly provision resources for each service as well as de-provisioning them at the end of the requested use to be re-purposed. Moab Adaptive Computing Suite also makes the decisions and initiates the actions needed to dynamically adapt cloud resources, such as VMs, to respond to changing workload demands and resource conditions, without IT staff intervention. The solution uses aggregated real-time environment information for rich context and advanced policies to make decisions and orchestrate actions across customer heterogeneous cloud resources such as mixed operating systems, hypervisors or hardware.

Key capabilities include:

•Self-service user creation of services via easy-to-use portal, with catalog-based service templates that automatically specify the optimal resources needed, speeding request, approval and delivery while reducing IT staff burden and costs

•Billing or "showback" for costs of resources by user and group, including flexible rates and charging models

•Create proven workload templates that identify the best practice resource set-up and process for each service, as determined by IT, to avoid service failures and wasteful overprovisioning

•Automate the optimal allocation and reservation of heterogeneous resources based on fine grain modeling of each service request's resource needs against the current use state of resources, and even historical resource performance, guaranteeing the resources are available now or at future time requested with advanced resource allocation and reservation policies

•Automatically initiate provisioning and de-provisioning via policies to deliver heterogeneous physical and virtual resources in minutes instead of months, without IT staff intervention, and ensure the quick repurposing of resources

•Customizable administration dashboard that provides real-time reporting to identify issues and optimize performance.

•Automatically enforce service-levels and SLAs for cloud services in line with business priorities via SLA & resource sharing policies that reduce business risk and ensure satisfaction

•Automatically initiate live workload migrations to meet service needs and maximize utilization with Virtual Machine (VM) migration policies that pack VM workloads onto underutilized resources to maximize utilization and capacity or move them from overcommitted resources to avoid service performance issues

•Reduce resource power consumption with intelligent power management policies that power down idle resources and intelligently power them back on in preparation for anticipated workloads

•Automate the reservation and running of maintenance jobs across cloud resources to avoid disruption of regular workloads, reduce management complexity and increase the compliance of cloud resources

•Automate self-healing policy workflows and responses to specific events or application and resource states to reduce management cost and complexity and ensure needed service levels are delivered


 
Adaptive Computing

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