摘要:
A system and associated method for automated disaster recovery (DR) planning. A DR planning process receives disaster recovery requirements and a target environment configuration from a user to design DR plans for the target environment configuration that meets disaster recovery requirements. The DR planning process accesses a knowledgebase containing information on replication technologies, best practice recipes, and past deployment instances. The DR planning process creates the DR plans by analyzing the disaster recovery requirements into element risks, associating replication technologies to protect each element risks, combining associated replication technologies based on the best practice recipes, and selecting highly evaluated combination based on the past deployment instances. The DR planning process presents the DR plans as classified by replication strategy-architecture combination for each DR plans and marks how strongly each DR plans are recommended.
摘要:
A system and associated method for automated disaster recovery (DR) planning. A DR planning process receives disaster recovery requirements and a target environment configuration from a user to design DR plans for the target environment configuration that meets disaster recovery requirements. The DR planning process accesses a knowledgebase containing information on replication technologies, best practice recipes, and past deployment instances. The DR planning process creates the DR plans by analyzing the disaster recovery requirements into element risks, associating replication technologies to protect each element risks, combining associated replication technologies based on the best practice recipes, and selecting highly evaluated combination based on the past deployment instances. The DR planning process presents the DR plans as classified by replication strategy-architecture combination for each DR plans and marks how strongly each DR plans are recommended.
摘要:
A system and associated method for continuously optimizing data archive management scheduling. A job scheduler receives, from an archive management system, inputs of task information, replica placement data, infrastructure topology data, and resource performance data. The job scheduler models a flow network that represents data content, software programs, physical devices, and communication capacity of the archive management system in various levels of vertices according to the received inputs. An optimal path in the modeled flow network is computed as an initial schedule, and the archive management system performs tasks according to the initial schedule. The operations of scheduled tasks are monitored and the job scheduler produces a new schedule based on feedbacks of the monitored operations and predefined heuristics.
摘要:
A system and associated method for continuously optimizing data archive management scheduling. A job scheduler receives, from an archive management system, inputs of task information, replica placement data, infrastructure topology data, and resource performance data. The job scheduler models a flow network that represents data content, software programs, physical devices, and communication capacity of the archive management system in various levels of vertices according to the received inputs. An optimal path in the modeled flow network is computed as an initial schedule, and the archive management system performs tasks according to the initial schedule. The operations of scheduled tasks are monitored and the job scheduler produces a new schedule based on feedbacks of the monitored operations and predefined heuristics.
摘要:
A system and associated method for continuously optimizing data archive management scheduling. A job scheduler receives, from an archive management system, inputs of task information, replica placement data, infrastructure topology data, and resource performance data. The job scheduler models a flow network that represents data content, software programs, physical devices, and communication capacity of the archive management system in various levels of vertices according to the received inputs. An optimal path in the modeled flow network is computed as an initial schedule, and the archive management system performs tasks according to the initial schedule. The operations of scheduled tasks are monitored and the job scheduler produces a new schedule based on feedbacks of the monitored operations and predefined heuristics.
摘要:
A system and associated method for continuously optimizing data archive management scheduling. A job scheduler receives, from an archive management system, inputs of task information, replica placement data, infrastructure topology data, and resource performance data. The job scheduler models a flow network that represents data content, software programs, physical devices, and communication capacity of the archive management system in various levels of vertices according to the received inputs. An optimal path in the modeled flow network is computed as an initial schedule, and the archive management system performs tasks according to the initial schedule. The operations of scheduled tasks are monitored and the job scheduler produces a new schedule based on feedbacks of the monitored operations and predefined heuristics.
摘要:
An optimization method and system. The method includes receiving by a computing system a data footprint associated with data and a human resource model. The data footprint comprises a primary data section, a secondary data section, and an archive data section. A plurality of data storage strategies are associated with the primary data section, said secondary data section, and said archive data section. The plurality of data storage strategies are compared to each other. A data staging orchestrator software module is executed. The computing system determines based on results of executing the data staging orchestrator software module, an optimal migration time, an optimal migration speed, and an optimal migration cost for managing storage for portions of the data. The computing system executes a risk modulation software module and determines a risk associated with the managing.
摘要:
An optimization method and system. The method includes receiving by a computing system a data footprint associated with data and a human resource model. The data footprint comprises a primary data section, a secondary data section, and an archive data section. A plurality of data storage strategies are associated with the primary data section, said secondary data section, and said archive data section. The plurality of data storage strategies are compared to each other. A data staging orchestrator software module is executed. The computing system determines based on results of executing the data staging orchestrator software module, an optimal migration time, an optimal migration speed, and an optimal migration cost for managing storage for portions of the data. The computing system executes a risk modulation software module and determines a risk associated with the managing.
摘要:
An optimization method and system. The method includes receiving by a computing system a data footprint associated with data and a human resource model. The data footprint comprises a primary data section, a secondary data section, and an archive data section. A plurality of data storage strategies are associated with the primary data section, said secondary data section, and said archive data section. The plurality of data storage strategies are compared to each other. A data staging orchestrator software module is executed. The computing system determines based on results of executing the data staging orchestrator software module, an optimal migration time, an optimal migration speed, and an optimal migration cost for managing storage for portions of the data. The computing system executes a risk modulation software module and determines a risk associated with the managing.
摘要:
An optimization method and system. The method includes receiving by a computing system a data footprint associated with data and a human resource model. The data footprint comprises a primary data section, a secondary data section, and an archive data section. A plurality of data storage strategies are associated with the primary data section, said secondary data section, and said archive data section. The plurality of data storage strategies are compared to each other. A data staging orchestrator software module is executed. The computing system determines based on results of executing the data staging orchestrator software module, an optimal migration time, an optimal migration speed, and an optimal migration cost for managing storage for portions of the data. The computing system executes a risk modulation software module and determines a risk associated with the managing.