Abstract: Methods, apparatuses, systems, and devices are described for improving data durability in a data storage system. In one example method of improving data durability, a hardware failure risk indicator may be determined for each of a plurality of data storage elements in the data storage system. The method may also include storing one or more replicas of a first data object on one or more of the plurality of data storage elements, with a quantity of the one or more replicas and a distribution of the one or more replicas among the plurality of data storage elements being a function of the hardware failure risk indicators for each of the plurality of data storage elements. In some examples, the hardware failure risk indicators may be dynamically updated based on monitored conditions, which may result in dynamic adjustments to the quantity and distribution of the data object replicas.

Abstract: Methods, apparatuses, systems, and devices are described for improving data durability in a data storage system. In one example method of improving data durability, a hardware failure risk indicator may be determined for each of a plurality of data storage elements in the data storage system. The method may also include storing one or more replicas of a first data object on one or more of the plurality of data storage elements, with a quantity of the one or more replicas and a distribution of the one or more replicas among the plurality of data storage elements being a function of the hardware failure risk indicators for each of the plurality of data storage elements. In some examples, the hardware failure risk indicators may be dynamically updated based on monitored conditions, which may result in dynamic adjustments to the quantity and distribution of the data object replicas.

Abstract: Methods, apparatuses, systems, and devices are described for improving data durability in a data storage system. In one example method of improving data durability, a hardware failure risk indicator may be determined for each of a plurality of data storage elements in the data storage system. The method may also include storing one or more replicas of a first data object on one or more of the plurality of data storage elements, with a quantity of the one or more replicas and a distribution of the one or more replicas among the plurality of data storage elements being a function of the hardware failure risk indicators for each of the plurality of data storage elements. In some examples, the hardware failure risk indicators may be dynamically updated based on monitored conditions, which may result in dynamic adjustments to the quantity and distribution of the data object replicas.

Abstract: An apparatus and associated method contemplating a sealed container operably enclosing a storage device in an operating environment. A storage device controller is operably coupled to the storage device and configured to monitor operational parametric values of the storage device. An environment modifier is operably coupled to the container and configured to selectively alter the operating environment. A container controller is configured to selectively activate the environment modifier in response to parametric values from the storage device controller.

Abstract: An apparatus and associated method contemplating a sealed container operably enclosing a storage device in an operating environment. A storage device controller is operably coupled to the storage device and configured to monitor operational parametric values of the storage device. An environment modifier is operably coupled to the container and configured to selectively alter the operating environment. A container controller is configured to selectively activate the environment modifier in response to parametric values from the storage device controller.

Abstract: Methods, apparatuses, systems, and devices are described for improving data durability in a data storage system. In one example method of improving data durability, a hardware failure risk indicator may be determined for each of a plurality of data storage elements in the data storage system. The method may also include storing one or more replicas of a first data object on one or more of the plurality of data storage elements, with a quantity of the one or more replicas and a distribution of the one or more replicas among the plurality of data storage elements being a function of the hardware failure risk indicators for each of the plurality of data storage elements. In some examples, the hardware failure risk indicators may be dynamically updated based on monitored conditions, which may result in dynamic adjustments to the quantity and distribution of the data object replicas.