Abstract: An external storage resource pool associated with federated tiered storage is associated with at least one performance tier based on evaluated performance of the external storage resource pool. Performance of the external pool may be evaluated in terms of service level expectations or service level objectives. Workload pattern analysis or performance probability curves may be used to classify the external storage resource pool. Workload distribution may be determined by a margin analysis algorithm that matches workloads and storage resource pool performance characteristics.

Abstract: High performance storage resources are proactively deallocated when a storage group exceeds its service level objective. A load score is calculated for each unit of storage allocated from a high performance physical disk group. A minimum load score is determined that is the lowest load score calculated for the storage units allocated from the high performance disk group to the storage group. When the storage group service level objective is exceeded, a demotion threshold is calculated equal to a product of the minimum load score and a demotion range factor. A demotion set is determined made up of storage units allocated from the high performance disk group having load scores less than or equal to the demotion threshold. Host data stored on the demotion set is migrated to storage from a lower performance disk group, and the high performance units of storage in the demotion set are released for re-allocation.

Abstract: The invention is directed to new class of quinolone heterocyclic aromatic molecules (Renotinibs) and their use in the treatment of cancer, in particular, cancer that harbor abnormal human epidermal growth factor receptors (EGFRs).

Abstract: Identifying data for placement in a storage system having a plurality of storage classes includes subdividing the data into portions, for each of the portions, independently determining at least one score for a particular portion based on a metric corresponding to access of the particular portion, where the at least one score for the particular portion is independent of scores for other ones of the portions, and identifying sub-portions of data for placement in a particular storage class based on the at least one score of a portion of data corresponding to the sub-portions. The at least one score may be based on short term access statistics and long term access statistics. The access statistics may include read misses, writes, and prefetches.

Abstract: Described are techniques for processing service level objectives. A first service level objective specified for a storage group of devices may include a first value denoting a first target level of performance for I/O operations. A second service level objective specified for a first portion of the storage group may include a second value denoting a second target level of performance for I/O operations directed to the first portion. The second value may denote a higher level of performance than the first value. It may be determined whether there is a violation of any of the first service level objective and the second level objective. Responsive to determining there is the violation of any of the first service level objective and the second level objective, one or more data movements in accordance with the violation may be performed.

Abstract: Described are techniques for configuring data storage. Criteria identifying limits is received for a plurality of storage tiers for one or more logical devices. The storage tiers include a first storage tier and one or more other storage tiers where the first storage tier is higher performing than the other storage tiers. First processing is performed to determine a first set of data portions of the logical devices to be stored on physical devices of the first storage tier subject to limits included in said criteria. First processing includes determining scores for data portions of the logical devices. Each score is calculated using one or more metrics including a first metric weighted based on an expected I/O size. The data portions are ranked in accordance with the scores. The first set of data portions stored in the first storage tier is selected based on the score ranking.

Abstract: When migrating data, a first message is received at a target data storage system from a source data storage system. The target data storage system includes a data storage optimizer that performs automated data movement optimizations. The first message requests a reservation of a first amount of storage on a first storage tier for performing a data migration to migrate data from the source to the target data storage system. A first capacity limit of the first storage tier is reduced by the first amount thereby representing the reservation of the first amount of storage for performing the data migration. If the first storage tier does not include an amount of available storage of at least the first amount, processing is performed to increase the amount of available storage of the first storage tier.

Abstract: Described are techniques for evaluating data movement alternative. A set of criteria including capacity and performance limits is received. First processing is performed to evaluate a plurality of alternatives for use in data movement with respect to a set of logical devices having data stored on a set of physical storage devices. Each of the plurality of alternatives includes a different set of data movement criteria comprising capacity limits and a different set of performance limits. The set of physical storage devices includes at least a first physical device of one of a plurality of storage tiers and a second physical device of another one of the plurality of storage tier. One of the sets of performance limits is selected in accordance with the first processing.

Abstract: Described are techniques for determining whether to move data between devices. A first cost metric is determined for a first device and a second device. At least one portion of data is selected for movement from one of the first device and the second device to another of the first device and the second device. A second cost metric is determined for the first device and the second device based on moving said at least one portion of data between said first device and said second device. It is determined using the first cost metric and the second cost metric whether to move the at least one portion of data.

Abstract: An efficient linear technique is used to determine allocation of tiered storage resources among data extents based on system performance and SLOs. Efficiency is achieved by first determining a system performance boundary condition via hardware performance modeling under desirable system performance zones. SLOs are then balanced and SLO achievement improved by exchanging workload activities among SG donors and SG receivers while system performance boundary conditions are maintained. Remaining unutilized capacity is the uniformly distributed to further improve SLO achievement.

Abstract: Described are techniques for performing data storage optimizations. A reserved workload for a first of a plurality of storage tiers is determined. Each of the plurality of storage tiers is characterized by a set of one or more attributes. The first storage tier includes performance characteristics which are any of incomplete, unknown, and unable to be predictively modeled for various workloads. The plurality of storage tiers includes the first tier and a remaining set of additional storage tier(s). Performance is modeled of a first workload distributed among the remaining set of storage tiers. The first workload represents a total workload less the reserved workload. One or more data movements are determined in accordance with the modeling. Each data movement moves a data portion from a first physical device of one of the plurality of storage tiers to a second physical device of another of the plurality of storage tiers.

Abstract: Described are modeling techniques. In accordance with one or more criteria, a determination may be made as to whether to use a dynamic model or a static model to model performance of components, such as storage devices, of a data storage system. A system may include first and second data storage systems where the first data storage system includes a computer readable medium with first code that performs processing in connection with data storage movement optimizations using one or more models including a dynamic model, and second code that generates and maintains the dynamic model used to model performance of storage devices. The second code may include code for performing first processing to determine device sets each of which does not share back-end resources of the second data storage system with any other device sets, and performing second processing to determine sets of performance curves corresponding to the device sets.

Abstract: Managing data in a storage system having a plurality of classes of storage includes determining an amount of data to be provided on at least one of the classes of storage according to a policy, dynamically setting a threshold according to the amount of data to be provided on the at least one of the classes or an expected performance based on the threshold, and placing data on particular classes of storage based on the threshold. Dynamically setting a threshold may include sorting data portions according to at least one score thereof and may include determining a particular score corresponding to the amount of data to be provided. The data portions may be provided in a histogram having a horizontal scale corresponding to a score value and a vertical scale corresponding to a number of data portions having a particular value.

Abstract: Described are techniques for evaluating data movement alternative. A set of criteria including capacity and performance limits is received. First processing is performed to evaluate a plurality of alternatives for use in data movement with respect to a set of logical devices having data stored on a set of physical storage devices. Each of the plurality of alternatives includes a different set of data movement criteria comprising capacity limits and a different set of performance limits. The set of physical storage devices includes at least a first physical device of one of a plurality of storage tiers and a second physical device of another one of the plurality of storage tier. One of the sets of performance limits is selected in accordance with the first processing.

Abstract: Described are techniques for configuring data storage. Criteria identifying limits is received for a plurality of storage tiers for one or more logical devices. The storage tiers include a first storage tier and one or more other storage tiers where the first storage tier is higher performing than the other storage tiers. First processing is performed to determine a first set of data portions of the logical devices to be stored on physical devices of the first storage tier subject to limits included in said criteria. First processing includes determining scores for data portions of the logical devices. Each score is calculated using one or more metrics including a first metric weighted based on an expected I/O size. The data portions are ranked in accordance with the scores. The first set of data portions stored in the first storage tier is selected based on the score ranking.

Abstract: A networked data storage system includes data movement logic and a virtual machine for executing a data management processing plan which is generated by a facility outside the storage array based on statistical information associated with extent level activity metrics provided by the storage array. Dynamically updated and automatically generated data management processing plans are provided to the storage array in the form of units of compiled byte code which the storage array is able to verify and execute using a virtual machine. The virtual machine interfaces with the environment in which it is embedded in a carefully constrained manner, thereby preventing clearly undesirable operations.

Abstract: Off-path admission control signaling in the presence of a network address translation (NAT) device may be provided. In response to a request for a content asset, a placeholder classifier may be created. The placeholder classifier may be used to allocate resources for providing the content asset to the client from a content server. The content server may communicate with the client, traversing the NAT device to identify a destination address and port for the client to which the content will be provided. The placeholder classifier may then be updated with the destination address and port.

Abstract: A write operation writes first data to a target logical address range included in a first logical address range of a virtually provisioned device. It is determined that physical storage is not allocated for the target logical address range. First processing is performed to allocate a first portion of physical storage having a first corresponding logical address subrange that includes the target logical address range. The first portion is allocated from a physical device included in a first storage tier. The first processing includes selecting the first storage tier from multiple storage tiers in accordance with selection criteria including metrics characterizing an expected workload or level of activity for the first corresponding logical address subrange of the virtually provisioned device. Mapping information is updated to indicate that the first corresponding logical address subrange of the virtually provisioned device maps to the first portion of physical storage.

Abstract: Described are techniques for configuring data storage. A plurality of devices is selected. It is determined, for each of the plurality of devices, whether data for said each device should be located in a first storage tier or another storage tier. The first storage tier is higher performance storage tier than the other storage tier. For each of the plurality of devices that the determining step determines should be located in the first storage tier, data of said each device is automatically located on a physical storage device of the first storage tier.

Abstract: Described are techniques for performing data storage optimizations. A data storage optimizer on a first data storage system connected to a set of other data storage systems receives performance classification information. The first data storage system includes a first set of storage devices of a first performance classification. The set of other data storage systems includes a second set of storage devices of a second performance classification different from the first performance classification. A write operation is received from the host to write first data to a target address of a virtually provisioned device. It is determined that physical storage is not currently allocated for the target address of the virtually provisioned device. A first portion of physical storage is allocated for storing the first data. The first portion of physical storage is included in a storage device of the second set having the second performance classification.