Abstract:
Various method, system, and computer program product embodiments for facilitating upgrades in a computing storage environment are provided. In one such embodiment, one of an available plurality of rolling upgrade policies registering at least one selectable upgrade parameter for an upgrade window is selected. A node down tolerance factor is set for at least one node in the computing storage environment. The node down tolerance factor specifies a percentage of elements of the at least one node taken offline to apply the selected one of the available plurality of rolling upgrade policies during the upgrade window.
Abstract:
According to examples, a storage node may include storage devices and a controller that may determine whether all of a plurality of data chunks of a first intra-node portion of a stripe have been stored on the storage node. Based on a determination that all of the data chunks have been stored, a first intra-node parity chunk may be stored at a second one of the storage devices, in which the first intra-node parity chunk may be determined from at least one of the data chunks of the first intra-node portion. Based on a determination that at least one of the data chunks has not been stored, storage of a first intra-node parity chunk of the stripe on the storage node may be delayed until a determination is made that all of the data chunks of the first intra-node portion have been stored at the storage node.
Abstract:
Aspects extend to methods, systems, and computer program products for using declarative configuration data to manage cloud lifecycle. A declarative language can be used to declare physical and logical topology as well as lifecycle management commands at multiple topology hierarchies. Developers of different cloud components can declare roles and cloud operations in compliance with a declaration model. Compliance with the declaration model allows aggregation and cross-referencing among commands and topology elements declared by different developers. As such, dependencies between components can be efficiently identified and accounted for when implementing lifecycle management commands Declarative configuration data can also be used to onboard additional components to a cloud without code changes to an underlying lifecycle state manager.
Abstract:
Disclosed are a building baseband unit, a baseband processing panel, and a failure processing method for the baseband processing panel. A direct path is introduced respectively for a baseband processing module and a power supply module in a baseband processing panel; when the baseband processing module has failed, the baseband processing module is directly bypassed, and a part of the baseband processing resources of a baseband processing panel in normal operation is allocated to an RRU corresponding to the failed baseband processing panel via a back panel and the direct path; and when both the baseband processing module and the power supply module have failed, both of them are directly bypassed, and a part of the baseband processing resources of a baseband processing panel in normal operation is allocated to the RRU corresponding to the failed baseband processing panel via the back panel and the direct path, and at the same time the power required for working is provided to an optical module via the back panel and another direct path. Applying the solution of the present invention can reduce implementation costs.
Abstract:
Disclosed herein are systems, devices, and methods related to assets and predictive models and corresponding workflows that are related to updating a routing table. In particular, examples involve based on a predictive model, determining that a given asset of a plurality of assets in a mesh network is likely to be unavailable within a given period of time in the future and in response to the determining, causing a routing configuration for at least one other asset in the mesh network to be updated.
Abstract:
The present disclosure providesa CDN-based content management system, including: a distributed scheduling center, a big data center, a task executing server cluster, a distributed reliability coordinating system, and content caching servers; the distributed scheduling center includes a plurality of distributed scheduling servers, and is configured to schedule tasks based on client requests; the big data center is configured to store client task request data, and count and analyze task data; the task executing server cluster is deployed in different regions and different operators, configured to receive task conversion commands sent by the distributed scheduling servers, and send task commands to content caching servers of corresponding regions and operators; and the distributed reliability coordinating system is configured to store status and properties of all servers in the content management system; and the content caching servers are configured to cache client files.
Abstract:
A system and method to manage a single event latched (SEL) condition, the method including operations to monitor, for a predetermined condition associated with single event latched (SEL) states, a reset signal output from a watchdog device to a microprocessor, wherein the reset signal is responsive to a malfunction condition associated with the microprocessor. The method further includes operations to control provision of power to the microprocessor in response to detection of the predetermined condition.
Abstract:
In a computing device supporting a failover in an event stream processing (ESP) system, an event block object is received. A first status of the computing device as active or standby is determined. When the first status is active, a second status of the computing device as newly active or not newly active is determined. Newly active is determined when the computing device is switched from a standby to an active status. When the second status is newly active, a last published event block object identifier that uniquely identifies a last published event block object is determined. A next event block object is selected from a non-transitory computer-readable medium accessible by the computing device. The next event block object has an event block object identifier that is greater than the determined last published event block object identifier. The selected next event block object is published to an out-messaging network device.
Abstract:
A failover system, server, method, and computer readable medium are provided. The system includes a primary server for communicating with a client machine and a backup server. The primary server includes a primary session manager, a primary dispatcher a primary order processing engine and a primary verification engine. The method involves receiving an input message, obtaining deterministic information, processing the input message and replicating the input message along with the deterministic information.