Turbonomic, Inc.

International Business Machines Corporation

Enlin Xu

Endre Sara

Mor Cohen

Shmuel Kliger

Yechiam Yemini

Danilo Florissi

Cheuk Lam

Pallavi Debnath

David P Olshefski

Shai Benjamin

Yuri Rabover

Ariel Tal

Wei Duan

Dongyi Yang

Apostolos Dailianas

Shravan Sriram

Nitya Hemang Vyas

Aditya Deo

Astha Malik

Tian Xia

Eric Senunas

Richard Trickey

Various approaches for allocating resources to an application having multiple application components, with at least one executing one or more functions, in a serverless service architecture include identifying multiple routing paths, each routing path being associated with a same function service provided by one or more containers or serverless execution entities; determining traffic information on each routing path and/or a cost, a response time and/or a capacity associated with the container or serverless execution entity on each routing path; selecting one of the routing paths and its associated container or serverless execution entity; and causing a computational user of the application to access the container or serverless execution entity on the selected routing path and executing the function(s) thereon.

Systems and methods for managing resources in a serverless workload

Systems, methods and apparatus, including computer program products, are disclosed for regulating access of consumers (e.g., applications, containers, or VMs) to resources and services (e.g., storage). In one embodiment, this regulation occurs through the movement of consumers between different providers of a resource or service, such as a cloud service provider. Moving consumers includes, for example, determining the cost of moving the consumer from a first provider to a second provider. According to various embodiments, the cost of moving the consumer is compared to performance criteria associated with moving the consumer from the first provider to the second provider.

Systems, apparatus and methods for cost and performance-based movement of applications and workloads in a multiple-provider system

Various approaches for allocating resources to an application having multiple application components, with at least one executing one or more functions, in a serverless service architecture include identifying one or more pods having multiple containers organized as a cluster in a container system capable of executing the function(s); identifying one or more routing paths in the serverless service architecture, the routing path being associated with one or more serverless execution entities capable of executing the function(s) thereon; determining (i) traffic information on the routing path(s), (ii) a cost or a performance characteristic associated with a computer resource bundle for the pod(s), and/or (iii) a cost or a performance characteristic associated with the serverless execution entity(entities); and based thereon, determining whether to (i) terminate execution of the function(s) on the pod(s) and (ii) cause execution of the function(s) on the serverless execution entity (entities).

Methods, systems, and apparatus, including computer program products, for managing resources in virtualization systems, including multi-cloud systems. The use of supply chain economics alone and in combination with other techniques offers a unified platform to integrate, optimize or improve, and automate resource management in a virtualization system. These techniques may be used to monitor and control the delivery of service level agreements and software licenses. They may also be used to monitor and control contention of computing resources in a virtualization system, and to suspend or terminate computing resources.

Managing resources in virtualization systems

Methods, systems, and apparatus, including computer program products, for managing resources in container systems, including multi-cloud systems. The use of supply chain economics alone and in combination with other techniques offers a unified platform to integrate, optimize or improve, and automate resource management in a container system. These techniques may be used to monitor and control the delivery of service level agreements and software licenses. They may also be used to monitor and control contention of computing resources in a container system, and to suspend or terminate computing resources.

Managing resources in container systems

Methods, systems, and apparatus, including computer program products, are disclosed for managing resources, such as computer software licenses, in container systems, including multi-cloud systems. The use of supply chain economics alone and in combination with other techniques offers a unified platform to integrate, optimize or improve, and automate resource management in a container system. These techniques may be used to monitor and control the delivery of service level agreements and software licenses. They may also be used to monitor and control contention of computing resources in a container system, and to suspend or terminate computing resources.

Systems, apparatus and methods for management of computer-based software licenses

Methods, systems, and apparatus, including computer program products, are disclosed for managing resources in container systems, including multi-cloud systems. The use of supply chain economics alone and in combination with other techniques offers a unified platform to integrate, optimize or improve, and automate resource management in a container system. These techniques may be used to auto-scale or place container or pod entities. They may also be used to monitor and control contention of computing resources in a container system, and to place, clone, resize, suspend or terminate computing resources.

Systems, apparatus and methods for management of software containers

Growing community of inventors

New York, NY, United States of America

Enlin Xu