摘要:
An apparatus, system, and method are disclosed for detecting entity changes in a storage area network. A discovery module probes a plurality of entities of the storage area network to detect an event in response to a policy, stores attributes of the probed entities, and reports the event with a probe event reference. A monitor module receives a self-announced event reference of the event if an entity communicates the event. A configuration module records the event as an initiated event reference if the event is initiated by an administrator. An event manager synthesizes a report of the event from the event references.
摘要:
An apparatus, system, and method are disclosed for detecting entity changes in a storage area network. A discovery module probes a plurality of entities of the storage area network to detect an event in response to a policy, stores attributes of the probed entities, and reports the event with a probe event reference. A monitor module receives a self-announced event reference of the event if an entity communicates the event. A configuration module records the event as an initiated event reference if the event is initiated by an administrator. An event manager synthesizes a report of the event from the event references.
摘要:
A SAN management system including the ability to generate perspectives of a SAN topology is provided. The SAN management system includes a SAN manager program to monitor a SAN. The SAN management system further includes a SAN management database linked with the SAN manager program, wherein the SAN management database maintains information identifying devices included within the SAN and connections between the devices. In addition, the SAN management system includes a plurality of sensor agents positioned within the devices included within the SAN, wherein the sensor agents gather information pertaining to the connections between the devices and provide the gathered information to the SAN manager program for inclusion within the SAN management database. Moreover, the SAN management system includes a topology viewer linked to the SAN manager to generate a user requested topology perspective according to data included within the SAN management database and data associated with a previously requested topology perspective.
摘要:
According to the present invention, there is provided a system to provide autonomically zoning of storage area networks based on system administrator defined policies. This will allow system administrators to manage the storage area network zones from a single window of control and also remove the responsibility of managing switch ports to the underlying autonomic more, the system administrator can specify policies that can changes with the growth of the storage network infrastructure. The system includes an autonomic zoning management module to autonomically generate zoning plans pertaining to network, according to a combination of each device in the network's connectivity information and user generated policies.
摘要:
The invention provides a method and system for continuous optimization of a data center. The method includes monitoring loads of storage modules, server modules and switch modules in the data center, detecting an overload condition upon a load exceeding a load threshold, combining server and storage virtualization to address storage overloads by planning allocation migration between the storage modules, to address server overloads by planning allocation migration between the server modules, to address switch overloads by planning allocation migration mix between server modules and storage modules for overload reduction, and orchestrating the planned allocation migration to reduce the overload condition in the data center.
摘要:
Embodiments of the present invention provide an approach for adapting an information extraction middleware for a clustered computing environment (e.g., a cloud environment) by creating and managing a set of statistical models generated from performance statistics of operating devices within the clustered computing environment. This approach takes into account the required accuracy in modeling, including computation cost of modeling, to pick the best modeling solution at a given point in time. When higher accuracy is desired (e.g., nearing workload saturation), the approach adapts to use an appropriate modeling algorithm. Adapting statistical models to the data characteristics ensures optimal accuracy with minimal computation time and resources for modeling. This approach provides intelligent selective refinement of models using accuracy-based and operating probability-based triggers to optimize the clustered computing environment, i.e., maximize accuracy and minimize computation time.
摘要:
The present invention proactively identifies hotspots in a cloud computing environment through cloud resource usage models that use workload parameters as inputs. In some embodiments the cloud resource usage models are based upon performance data from cloud resources and time series based workload trend models. Hotspots may occur and can be detected at any layer of the cloud computing environment, including the server, storage, and network level. In a typical embodiment, parameters for a workload are identified in the cloud computing environment and inputted into a cloud resource usage model. The model is run with the inputted workload parameters to identify potential hotspots, and resources are then provisioned for the workload so as to avoid these hotspots.
摘要:
Embodiments of the present invention provide lifecycle storage management for data within a Cloud computing environment. Specifically, a set of policies can be defined that allow for automatic valuation of the data and migration of the data between a set of storage tiers. Before a policy set is deployed, it can be assessed to determine effects it will have on cost, performance, and data location. Based on data characteristics and access patterns, a set of policy recommendations can be provided that predict the value of the data over time, and offer an improved migration strategy for moving the data between the set of storage tiers as the value of the data changes.
摘要:
Embodiments discussed in this disclosure provide an integrated provisioning framework that automates the process of provisioning storage resources, end-to-end, for an enterprise storage cloud environment. Such embodiments configure and orchestrate the deployment of a user's workload and, at the same time, provide optimization across a multitude of storage cloud resources. Along these lines, input is received in the form of workload requirements and configuration information for available system resources. Based on the input, a set (at least one) of storage cloud configuration plans is developed that satisfy the workload requirements. A set of scripts is then generated that orchestrate the deployment and configuration of different software and hardware components based on the plans.
摘要:
Embodiments of the present invention provide an approach for protecting and restoring data within a networked (e.g. cloud) storage computing environment through asynchronous replication and remote backup of data and its associated metadata. Under embodiments of the present invention, data backup and recovery functionality provides data backups by detecting incremental updates to the data and its associated metadata at specific points in time determined by policies. The policies are configurable based on user requirements. Multiple copies of the data backups can be made and stored in separate compressed files at backup/disaster recovery locations. The backups of data and its associated metadata, which includes file system configuration information can be used to restore the state of a computer file system to that of a given point-in-time. Accordingly, a data protection approach is disclosed for protecting data at both the file system level and application level.