Distributed cloud computing platform and content delivery network
    1.
    发明授权
    Distributed cloud computing platform and content delivery network 有权
    分布式云计算平台和内容传送网络

    公开(公告)号:US09270750B1

    公开(公告)日:2016-02-23

    申请号:US14312985

    申请日:2014-06-24

    Applicant: Jisto Inc.

    CPC classification number: H04L67/1036 G06F9/46 G06F9/50 H04L67/10 H04L67/104

    Abstract: Various embodiments of the invention provide methods and systems for providing a distributed computing platform. Tasks for execution are received from a remote computer and a set of computation users are identified to execute the set of computation task segments. The tasks are distributed to the set of computation users a solution segment is received from each computation user in the set of computation users to generate a set of solution segments, which are combined into a solution.

    Abstract translation: 本发明的各种实施例提供了用于提供分布式计算平台的方法和系统。 从远程计算机接收用于执行的任务,并且识别一组计算用户以执行该组计算任务段。 这些任务被分配给一组计算用户,在该组计算用户中从每个计算用户接收到一个解决方案段,以生成一组解决方案,将其组合成一个解决方案。

    EFFICIENT WORKLOAD DEPLOYMENT USING CONTAINERS AND UNIKERNELS

    公开(公告)号:US20180046446A1

    公开(公告)日:2018-02-15

    申请号:US15662649

    申请日:2017-07-28

    Applicant: Jisto Inc.

    CPC classification number: G06F8/65 G06F8/63 G06F8/71 G06F9/44521 G06F9/455

    Abstract: A bottom-up approach is taken to creating a condensed container, in which an automatic determination is made of the minimum set of requirements and dependencies, in forms of libraries and packages, for deployed applications/services and any corresponding user-specified content. The most fitting libraries and packages are merged with the applications/services, and the merged results are containerized using a minimized version of a container base image. Specialized unikernel generation includes automatically determining the minimum set of requirements and dependencies, in forms of libraries and packages, for the deployed applications/services and any corresponding user-specified content. The best available library operating system is identified, and compilation occurs to generate the unikernel. In effect, optimized (in terms of most fitting to applications/services, for any combination of size, speed, resource utilization, and performance) containers and unikernel images from applications/services by leveraging traditional unikernel technologies are produced.

    Efficient workload deployment using containers and unikernels

    公开(公告)号:US10402187B2

    公开(公告)日:2019-09-03

    申请号:US15662649

    申请日:2017-07-28

    Applicant: Jisto Inc.

    Abstract: A bottom-up approach is taken to creating a condensed container, in which an automatic determination is made of the minimum set of requirements and dependencies, in forms of libraries and packages, for deployed applications/services and any corresponding user-specified content. The most fitting libraries and packages are merged with the applications/services, and the merged results are containerized using a minimized version of a container base image. Specialized unikernel generation includes automatically determining the minimum set of requirements and dependencies, in forms of libraries and packages, for the deployed applications/services and any corresponding user-specified content. The best available library operating system is identified, and compilation occurs to generate the unikernel. In effect, optimized (in terms of most fitting to applications/services, for any combination of size, speed, resource utilization, and performance) containers and unikernel images from applications/services by leveraging traditional unikernel technologies are produced.

    UBIQUITOUS AND ELASTIC WORKLOAD ORCHESTRATION ARCHITECTURE OF HYBRID APPLICATIONS/SERVICES ON HYBRID CLOUD

    公开(公告)号:US20170192825A1

    公开(公告)日:2017-07-06

    申请号:US15381427

    申请日:2016-12-16

    Applicant: Jisto Inc.

    CPC classification number: G06F9/5072 H04L67/1008 H04L67/1012

    Abstract: Systems and methods for deploying computer application workload elements among a plurality of computing resources are described. An elastic workload orchestration architecture includes a workload queue that is configured to receive application workload elements for processing using one or more distributed hybrid application services. The workload elements are evaluated to confirm whether they are properly formatted for deployment among the distributed hybrid application services and, if such confirmation cannot be made, the workload elements are adapted into a proper format. An elastic workload operator then deploys the workload elements to the distributed hybrid application services.

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