Abstract: In accordance with disclosed embodiments, there are provided systems, methods, and apparatuses for implementing a scalable scheduler with heterogeneous resource allocation of large competing workloads types using Quality of Service (QoS) requirements.

Abstract: Systems, methods, and computer program products are described for orchestrating communication between containers or microservices of a multi-container architecture. Data having a plurality of tasks and associated dependencies among the plurality of tasks is received. A dependency graphs is generated that correlates each dependency of the associated dependencies with a plurality of microservices. Each microservice is configured to execute a task of the plurality of tasks. Each task is distributed, based on the generated dependency graph, to a respective microservice for execution. A plurality of messages are sequentially received from the plurality of microservices. Each message includes an output of each microservice for a respective task. Output data having a combination of the output of each microservice is provided for further characterization.

Abstract: Methods and systems for improving the performance of a distributed job scheduler using job self-scheduling and job stealing are described. The distributed job scheduler may schedule jobs to be run among data storage nodes within a cluster. Each node in the cluster may make a localized decision regarding which jobs should be executed by the node by periodically polling candidate jobs from a table of candidate jobs stored using a distributed metadata store. Upon completion of a job, the job may self-schedule another instance of itself if the next instance of the job should be run before the next polling of candidate jobs by the node that ran the completed job. The node may attempt to steal one or more jobs from a second node within the cluster if a job queue length for a job queue associated with the node falls below a queue length threshold.

Abstract: Disclosed are embodiments for migrating a virtual machine (VM) from a source host to a destination host while the virtual machine is running on the destination host. The system includes an RDMA facility connected between the source and destination hosts and a device coupled to a local memory, the local memory being responsible for memory pages of the VM instead of the source host. The device is configured to copy pages of the VM to the destination host and to maintain correct operation of the VM by monitoring coherence events, such as a cache miss, caused by the virtual machine running on the destination host. The device services these cache misses using the RDMA facility and copies the cache line satisfying the cache miss to the CPU running the VM. The device also tracks the cache misses to create an access pattern that it uses to predict future cache misses.

Abstract: A method for distributed processing involves receiving a graph (G) of targets and of influencers, with each influencer related to at least one target, receiving an action graph of actions performed by one or more of the influencers, and key partitioning G across shards. The method further involves transposing the first graph (G) to obtain a first transposed graph (GT), value partitioning GT across the shards, storing the action graph on multiple shards, issuing, to a shard, a request specifying an influencer, to perform an intersection, receiving a response to the request of a set of influencers each of which is related to a target, and determining whether to send a recommendation to the target based on the response.

Abstract: Examples described relate to associating virtual network interfaces with a virtual machine during provisioning in a cloud system. In an example, during booting of a virtual machine in a cloud system, a number of network interfaces associated with the virtual machine may be determined. A further determination may be made whether the number of network interfaces associated with the virtual machine is less than a number of network interfaces specified for the virtual machine to perform a function. In response to a determination that the number of network interfaces associated with the virtual machine is less than the number of network interfaces specified for the virtual machine to perform the function, an internal virtual network kernel interface may be created. The internal virtual network kernel interface may be associated with the virtual machine. The virtual machine may be provisioned in the cloud system.

Abstract: A system is described that has a node and runtime logic. The node has a plurality of processing elements operatively coupled by interconnects. The runtime logic is configured to receive target interconnect bandwidth, target interconnect latency, rated interconnect bandwidth and rated interconnect latency. The runtime logic responds by allocating to configuration files defined by the application graph: (1) processing elements in the plurality of processing elements, and (2) interconnects between the processing elements. The runtime logic further responds by executing the configuration files using the allocated processing elements and the allocated interconnects.

Abstract: Systems and methods for sharing transactional context between Java and traditional language applications are disclosed. In embodiments, a method comprises: receiving, by a computing device, a transaction request to execute a program, wherein the program comprises non-Java program components and Java program components; executing, by a transaction middleware of the computing device, the non-Java program components; contacting, by the transaction middleware, a resource manager server and registering with the resource manager server using global transaction ID data; transferring, by the transaction middleware of the computing device, the Java program components to a transaction coordinator of the computing device, along with thread ID data and the global transaction ID data; and storing, by the transaction coordinator, the thread ID data and global transaction ID data in a recoverable transaction log store.

Abstract: In a computer-implemented method for using a nested host manager in a hyper converged infrastructure to streamline the upgrade process for one or more hosts in a workload domain, a first workload domain having one or more hosts is chosen, and at least one host of the one or more hosts is designated for an upgrade. The resource allotment of the at least one host is evaluated and a nested host having a comparable resource allotment is selected and provided in a second workload domain. Communication is redirected from the at least one host to the nested host. The at least one host is placed in a maintenance mode, updated, and returned to an operational mode.

Abstract: A computing fabric includes one or more host computing platforms and a plurality of partitions instantiated across the one or more host computing platforms, each of the plurality of partitions allocated computing resources of the one or more host computing platforms. The computing fabric further includes a hypervisor installed on the one or more host computing platforms and managing interactions among the plurality of partitions. The plurality of partitions includes a persistent partition to which one or more storage devices are allocated, the persistent partition executing software loaded from a trusted storage location and executing from a non-volatile memory.

Abstract: A Hyper-Converged Infrastructure (HCI) ephemeral workload/data provisioning system includes a workload system coupled to a plurality of HCI systems by a manager system. The manager system identifies a first ephemeral workload that is provided by the workload system and that is configured to operate on one of the plurality of HCI systems for less than a first time period. In response to identifying the first ephemeral workload, the manager system determines first data that is to-be utilized by the first ephemeral workload and that is stored on a first HCI system that is included in the plurality of HCI systems. In response to determining that the first HCI system includes the first data that is to-be utilized by the first ephemeral workload, the manager system causes the first ephemeral workload to be provisioned on the first HCI system.

Abstract: A process for processor management includes activating a delay thread running on a processor. A determination is made whether a wait event for a first thread running on the processor is in a queue. Responsive to determining that the wait event for the first thread is in the queue, a determination is made whether a wait time associated with the wait event has expired. Responsive to determining that the wait time has not expired, a determination is made if wait time exceeds a threshold. Responsive to determining that the wait time exceeds the threshold, a timer is set and a low power mode is initiated for the processor.

Abstract: An approach is provided for managing a timeout and polling interval of an operation of an application. A recommendation specifying the timeout and polling interval is selected. The timeout and polling interval are applied to a deployed image. Based on polling intervals, numbers of polls for operations, identifications of the operations, and environments of the operations, a minimum number of polls of the operation in an environment before a successful completion of the operation is determined and an old polling interval used between the polls of the operation is determined. If the minimum number of polls is greater than one, the polling interval specified in the recommendation is determined as the minimum number of polls multiplied by the old polling interval. If the minimum number of polls equals one, the polling interval specified in the recommendation is determined by decreasing the old polling interval by a configurable factor.

Abstract: Presented herein are methods, non-transitory computer readable media, and devices for optimizing thread assignment to schedulers, avoid starvation of individual data partitions, and maximize parallelism in the presence of hierarchical data partitioning are disclosed, which include: partitioning, by a network storage server, a scheduler servicing a data partitioned system into a plurality of autonomous schedulers; determining what fraction of thread resources in the data partitioned system at least one of the plurality of autonomous schedulers is to receive; and determining, with minimal synchronization, when it is time to allow the at least one of the plurality of autonomous schedulers servicing a coarse hierarchy to run.

Abstract: An information processing system that includes at least one information processing apparatus and executes programs, each of which performs a predetermined process, the information processing system including a memory unit configured to store, for each of applications performing a sequence of processes using electronic data, program identification information identifying at least one program performing each process of the sequence of processes, flow information defining an execution order of the at least one program, and app identification information identifying each of the applications, while associating the program identification information, the flow information, and the app identification information, a registering unit, and a process executing unit, in receipt of a request including information related to the electronic data and the app identification information from a second apparatus, configured to cause the program identified by the program identification information in accordance with the execution

Abstract: Embodiments of the application provide a resource configuration method, a mobile terminal and a storage medium. An operating system in an operating system space of a mobile terminal firstly receives a scenario data packet sent by a running target application program, the scenario data packet comprising an application type identifier and a scenario identifier of the target application program, then determines a performance improvement strategy according to the application type identifier and the scenario identifier, and adjusts allocation of a system resource for the target application program according to the performance improvement strategy.

Abstract: According to a disclosed embodiment, data analysis is secured with a microservice architecture and data anonymization in a multitenant application. Tenant data is received by a first microservice in a multitenant application. The tenant data is isolated from other tenant data in the first microservice and stored separately from other tenant data in a tenant database. The tenant data is anonymized in the first microservice and thereafter provided to a second microservice. The second microservice stores the anonymized tenant data in an analytics database. The second microservice, upon request, analyzes anonymized tenant data from a plurality of tenants from the analytics database and provides an analytics result to the first microservice.

Abstract: Methods and apparatus to manage workload domains in virtual server racks are disclosed.

Abstract: This document describes techniques for placing instances on servers of a service provider environment. In an example embodiment, a system can determine that characteristics of a new virtual machine instance match a co-tenant policy of an existing virtual machine instance on a server and factor that information into a decision to place the virtual machine instance.

Abstract: A management apparatus and management method capable of enhancing reliability and safety of the entire system are proposed. When any one of virtual machine no longer satisfies its performance requirement, a business computer notifies a management apparatus of an alert; a priority representing a priority level when switching a logical path is set to each virtual machine; and when the management apparatus is notified by the business computer of the alert, the management apparatus determines a combination pattern, which satisfies performance requirements for all the virtual machines and satisfies a requirement for the priority that is set to each virtual machine, and issues an instruction to the corresponding business computer and/or a storage apparatus so that a combination pattern of each logical path from each virtual machine to a logical volume allocated to that virtual machine will become the determined combination pattern.