Abstract: A method is disclosed that places data-intensive subprocesses in close physical and logical proximity to the facility responsible for storing the data, so that high efficiencies at reduced cost are achieved. In one specific example, new computer programs, termed adjuncts, are added and placed in a logical partition on a storage facility so that they can be invoked using appropriate commands issued on the I/O channel. Further, programs or changes are added to existing programs on the host machine, wherein such programs or changes discover the function extensions and invoke them to perform data processing.

Abstract: A system for utilizing informed throttling to guarantee quality of service to a plurality of clients includes a server core having a performance analyzer that compares a performance level received by a client to a corresponding contracted service level and determines if the client qualifies as a victim whose received performance level is less than the corresponding contracted service level. The performance analyzer is further configured to identify one or more candidates for throttling in response to an I/O stream receiving insufficient resources by determining if the client qualifies as a candidate whose received performance level is better than the corresponding contracted service level. The server core further includes a scheduler that selectively and dynamically issues a throttling command to the candidate client, and provides a quality of service enforcement point by concurrently monitoring a plurality of I/O streams to candidate clients and concurrently throttling commands to the candidate clients.

Abstract: A method is disclosed that places data-intensive subprocesses in close physical and logical proximity to the facility responsible for storing the data, so that high efficiencies at reduced cost are achieved. In one specific example, new computer programs, termed adjuncts, are added and placed in a logical partition on a storage facility so that they can be invoked using appropriate commands issued on the I/O channel. Further, programs or changes are added to existing programs on the host machine, wherein such programs or changes discover the function extensions and invoke them to perform data processing.

Abstract: A system for utilizing informed throttling to guarantee quality of service to a plurality of clients includes a server core having a performance analyzer that compares a performance level received by a client to a corresponding contracted service level and determines if the client qualifies as a victim whose received performance level is less than the corresponding contracted service level. The performance analyzer is further configured to identify one or more candidates for throttling in response to an I/O stream receiving insufficient resources by determining if the client qualifies as a candidate whose received performance level is better than the corresponding contracted service level. The server core further includes a scheduler that selectively and dynamically issues a throttling command to the candidate client, and provides a quality of service enforcement point by concurrently monitoring a plurality of I/O streams to candidate clients and concurrently throttling commands to the candidate clients.

Abstract: The present system and associated method resolve the problem of providing statistical performance guarantees for applications generating streams of read/write accesses (I/Os) on a shared, potentially distributed storage system of finite resources, by initiating throttling whenever an I/O stream is receiving insufficient resources. The severity of throttling is determined in a dynamic, adaptive way at the storage subsystem level. Global, real-time knowledge about I/O streams is used to apply controls to guarantee quality of service to all I/O streams, providing dynamic control rather than reservation of bandwidth or other resources when an I/O stream is created that will always be applied to that I/O stream. The present system throttles at control points to distribute resources that are not co-located with the control point.

Abstract: The present system and associated method resolve the problem of providing statistical performance guarantees for applications generating streams of read/write accesses (I/Os) on a shared, potentially distributed storage system of finite resources, by initiating throttling whenever an I/O stream is receiving insufficient resources. The severity of throttling is determined in a dynamic, adaptive way at the storage subsystem level. Global, real-time knowledge about I/O streams is used to apply controls to guarantee quality of service to all I/O streams, providing dynamic control rather than reservation of bandwidth or other resources when an I/O stream is created that will always be applied to that I/O stream. The present system throttles at control points to distribute resources that are not co-located with the control point.