A method includes identifying, by a first instance of a service, a first number of data partitions of a data source to be processed by the service and a second number of instances of the service available to process the first number of data partitions. The method further includes separating the first number of data partitions into a first set of data partitions and a second set of data partitions in view of the second number of instances of the service, determining a target number of data partitions from the first set of data partitions to be claimed by each of the second number of instances of the service, and claiming, by the first instance of the service, the target number of data partitions from the first set of data partitions and up to one data partition from the second set of data partitions.

A data processing system is disclosed that includes one or more processors that can perform producer processes to produce work and consumer processes that can consume work produced by a producer process. The system includes a pool of plural communication resources that may be used for communications between a producer process and a consumer process. The system tracks the usage of communication resources of the pool of communication resources, and allocates a communication resource from the pool of communication resources based on the tracking.

The disclosure herein describes management of distribution of resources between a global pool and an associated plurality of local pools using a flush threshold. A request for resources is received at the global pool from a local pool, the request indicating a requested quantity of resources. Based on the received request, it is determined that available resources in the global pool are below a flush threshold of the global pool. Based on this determination, flush instructions are sent to the local pools, wherein the flush instructions instruct each local pool to release unused resources (e.g., available to be released) to the global pool. Based on the available resources of the global pool then exceeding the requested quantity of resources and/or the flush threshold, resources of the global pool are allocated to the requesting local pool, whereby the local pool is enabled to use the allocated resources.

The present disclosure describes systems, methods, and computer-readable storage media implementing techniques for providing split control of an execution environment. According to aspects of the disclosure, a first entity may be configured to exert control over presentation related aspects (e.g., the look and feel) of services provided by a second entity, while the second entity may exert control over backend processing and execution of the services. To facilitate the different portions of the split control, one or more servers may be configured to provide a first execution layer, a second execution layer, and a second execution layer control panel. The first execution layer may perform operations for executing the provisioning of the service. The second execution layer may perform operations for presenting the computing/execution environment for providing the service, and the second execution environment control panel may provide the first entity to customize/modify presentation related aspects of the computing/execution environment.

Embodiments allow automated provisioning of a plan upgrade for databases hosted in storage environments. A database is hosted in a shared storage environment according an existing plan, based upon consumption of available system resources (e.g., processing, I/O, memory, disk). An agent periodically issues requests for information relevant to database behavior (e.g., performance metrics, query logs, and/or knob settings). The agent collects the received information (e.g., via a domain socket), performing analysis thereon to predict whether future database activity is expected remain within the existing plan. Such analysis can include but is not limited to compiling statistics, and calculating values such as entropy, information divergence, and/or adjusted settings for database knobs. Based upon this analysis, the agent communicates a recommendation including a plan update and supporting statistics. Embodiments can reduce the effort/cost of the database administrator in having to manually predict future estimated database resource consumption and generate a plan update.

A method for graphics processing including rendering graphics for an application using a plurality of graphics processing units (GPUs). The method including dividing responsibility for rendering geometry of the graphics between the GPUs based on screen regions, each GPU having a corresponding division of the responsibility which is known to the GPUs. The method including determining a Z-value for a piece of geometry during a pre-pass phase of rendering at a first GPU for an image, wherein the piece of geometry overlaps a first screen region for which the first GPU has a division of responsibility. The method including comparing the Z-value against a Z-buffer value for the piece of geometry. The method including generating information including a result of the comparing the Z-value against the Z-buffer value for use by the GPU when rendering the piece of geometry during a full render phase of rendering.

A method for processing data using a computing array is provided. In the method, source data is allocated to each of multiple computing nodes in a computing array. The source data includes multiple blocks. At a computing node among the computing nodes, in at least one iteration process, multiple blocks are respectively received from multiple other computing nodes other than the computing node among the computing nodes using multiple first type computing devices among a set of computing devices included in the computing node. A processing operation is executed on the received blocks using the first type computing devices respectively to generate multiple intermediate results. The processing operation is executed on the intermediate results to obtain a first part of a final result of executing the processing operation on the source data. A corresponding computer system is also provided.

An integrated circuit includes a primary initiator domain (ID) circuit including having a processor core, a responder domain (RD) control circuit, and a reset controller. Secondary ID circuits, each include a processor core and a reset controller. RD circuitry is coupled to communicate with the primary ID circuit and the secondary ID circuits and includes RD resource circuits. The RD control circuit is configured to allocate each of the RD resource circuits to a first initiator domain consisting of the primary ID circuit or one of the secondary ID circuits, and when one of the secondary ID circuits enters a reset mode of operation, the RD resource circuit allocated to the one of the secondary ID circuits enters a reset while the remaining RD resource circuits are not affected by the reset.

A processing system is in a host center configured to communicate with edge computers each of which is mounted on one of a plurality of moving bodies, and the processing system is configured to perform host processing on a service data set related to a cloud service. The processing system includes a processor configured to set divided data of the service data set, and search, for each of the divided data, the edge computer that satisfies a necessary condition required for performing distribution processing on the divided data by monitoring whether each of the edge computers satisfies the necessary condition.

A web server operating in a container has resource and network limits applied to add an extra layer of security to the web server. If a monitor detects that the container's resource usage is approaching one or more of these limits, which may be indicative of a DDoS attack, (step 210) or identifies traffic sources exhibiting suspicious behaviour, such as frequently repeated requests from the same address, or from a related set of addresses, a restrictor function caps the resources allowed by the original Webserver container to allow it to recover from buffer overflow and protect servers running in other containers from overwhelming any shared resources. A duplicator function starts up replica containers with the same resource limits to take overflow traffic, and a load balancing function then directs incoming traffic to these overflow containers etc. Traffic from suspicious sources is directed by the load balancer to one or more specially-configured attack-assessment container(s) where a ‘dummy’ web server operates. The behaviour of these sources is analysed by a behaviour monitoring function over some time to determine if they are legitimate or malicious, which can control a firewall to block addresses identified as generating malicious traffic.