Abstract: Storage object groups uniquely associated with respective host applications are processed to model, for each host application, the relationship between current utilized storage capacity of each host application and greatest possible utilized storage capacity of each host application without exhausting either the storage capacity of the storage system or the performance capacity of the storage system. The modeled relationships may be used to calculate headroom and performance impact scores for each host application. Storage object groups that have insufficient headroom for growth, e.g., as indicated by performance impact score, are deemed to be associated with host application workloads that are candidates for migration to a different storage system. The candidates may be ranked and selected for migration based on performance impact scores.

Abstract: Storage object groups uniquely associated with respective host applications are processed to model, for each host application, the relationship between current utilized storage capacity of each host application and greatest possible utilized storage capacity of each host application without exhausting either the storage capacity of the storage system or the performance capacity of the storage system. The modeled relationships may be used to calculate headroom and performance impact scores for each host application. Storage object groups that have insufficient headroom for growth, e.g., as indicated by performance impact score, are deemed to be associated with host application workloads that are candidates for migration to a different storage system. The candidates may be ranked and selected for migration based on performance impact scores.

Abstract: A workload planner is used to determine headroom and SLE (Service Level Expectation) compliance of a storage system. The historical workload of the storage system over a set of monitoring intervals is obtained, and optionally a new workload to be moved to the storage system is added to the historical workload. Headroom compliance for components of the storage system, and service level expectation compliance on a per-storage group basis are determined by the workload planner. If a headroom or service level expectation violation is determined for one or more of the monitoring intervals, a set of rules are applied to selectively remove monitoring intervals from the time series. The redacted time series is then used to determine headroom and service level expectation compliance. If no violations are found, based on the redacted time series, the storage system meets headroom and SLE requirements.

Abstract: A workload planner is used to determine headroom and SLE (Service Level Expectation) compliance of a storage system. The historical workload of the storage system over a set of monitoring intervals is obtained, and optionally a new workload to be moved to the storage system is added to the historical workload. Headroom compliance for components of the storage system, and service level expectation compliance on a per-storage group basis are determined by the workload planner. If a headroom or service level expectation violation is determined for one or more of the monitoring intervals, a set of rules are applied to selectively remove monitoring intervals from the time series. The redacted time series is then used to determine headroom and service level expectation compliance. If no violations are found, based on the redacted time series, the storage system meets headroom and SLE requirements.

Abstract: A method and apparatus for assigning an allocated workload in a data center having multiple storage systems includes selecting one or more storage systems to be assigned the allocated workload based on a combination of performance impact scores and deployment scores. By considering both performance impact and deployment effort, the allocated workload is able to be assigned with a view not only toward storage system performance, but also with a view toward how deployment on a particular storage system would comply with data center policies and the amount of configuration effort it would take to enable the workload to be implemented on the target storage system. This enables workloads to be allocated within the data center while minimizing the required amount of configuration or reconfiguration required to implement the workload allocation within the data center.

Abstract: A method for receiving and processing a digital radio broadcasting signal includes: receiving a digital radio broadcasting signal including encoded content in a first format; processing the encoded content to convert the encoded content into a second format; storing the encoded content in a second format; and decoding the stored encoded content to recover decoded content. A receiver that implements the method is also provided.

Abstract: A method for receiving and processing a digital radio broadcasting signal includes: receiving a digital radio broadcasting signal including encoded content in a first format; processing the encoded content to convert the encoded content into a second format; storing the encoded content in a second format; and decoding the stored encoded content to recover decoded content. A receiver that implements the method is also provided.

Abstract: A method for receiving and processing a digital radio broadcasting signal includes: receiving a digital radio broadcasting signal comprised of two or more multicast contents, playing a first one of the multicast contents, and concurrently storing a second one of the multicast contents. A receiver that implements the method is also provided.

Abstract: A method for receiving and processing a digital radio broadcasting signal includes: receiving a digital radio broadcasting signal comprised of two or more multicast contents, playing a first one of the multicast contents, and concurrently storing a second one of the multicast contents. A receiver that implements the method is also provided.

Abstract: A method is provided for receiving and processing a digital radio broadcasting signal. The method includes the steps of receiving a digital radio broadcasting signal including content, storing encoded content, and decoding the stored encoded content to recover decoded content. The stored encoded content can include protocol data units or packets. The stored encoded content can be recovered by decoding the encoded content according to a logical protocol stack.

Abstract: A method is provided for receiving and processing a digital radio broadcasting signal. The method includes the steps of receiving a digital radio broadcasting signal including content, storing encoded content, and decoding the stored encoded content to recover decoded content. The stored encoded content can include protocol data units or packets. The stored encoded content can be recovered by decoding the encoded content according to a logical protocol stack.