Joyent, Inc.

Jason Alexander Hoffman

David P Young

James Duncan

Mark G Mayo

Pedro Palazón Candel

In some embodiments, a method for managing resources in a data center includes a data center having a plurality of servers in a network. The data center provides a virtual machine for each of a plurality of users, each virtual machine to use a portion of hardware resources of the data center. The hardware resources include storage and processing resources distributed onto each of the plurality of servers. The method further includes sending messages amongst the servers, some of the messages being sent from a server including status information regarding a hardware resource utilization status of that server. The method further includes detecting a request from the virtual machine to handle a workload requiring increased use of the hardware resources, and provisioning the servers to temporarily allocate additional resources to the virtual machine, wherein the provisioning is based on status information provided by one or more of the messages.

Provisioning server resources in a cloud resource

Systems and methods to manage workloads and hardware resources in a data center or cloud. In one embodiment, a method includes a data center having a plurality of servers in a network. The data center provides a virtual machine for each of a plurality of users, each virtual machine to use a portion of hardware resources of the data center. The hardware resources include storage and processing resources distributed onto each of the plurality of servers. The method further includes sending messages amongst the servers, some of the messages being sent from a server including status information regarding a hardware resource utilization status of that server. The method further includes detecting a request from the virtual machine to handle a workload requiring increased use of the hardware resources, and provisioning the servers to temporarily allocate additional resources to the virtual machine, wherein the provisioning is based on status information provided by one or more of the messages.

Managing workloads and hardware resources in a cloud resource

A data processing and storage system includes a compute module for running at least one virtual machine for processing guest data. State data on the at least one virtual machine is collected. The system also includes a storage module communicating with the compute module and storing the guest data. The storage module accesses the state data for controlling storage operations. A cloud storage/compute system is provided that includes a storage module for storing guest data for a virtual machine and operating based on a clock. The cloud storage/compute system also includes a compute module coupled to the storage module for performing operations on the guest data for the virtual machine and operating based on the clock. A method is provided that includes collecting state data on a virtual machine that processes guest data, and controlling storage operations relating to the guest data based on the state data.

Systems and methods for integrating compute resources in a storage area network

Systems, methods, and media for transparently optimizing a workload of a containment abstraction are provided herein. Methods may include monitoring a workload of the containment abstraction, the containment abstraction being at least partially hardware bound, the workload corresponding to resource utilization of the containment abstraction, converting the containment abstraction from being at least partially hardware bound to being entirely central processing unit (CPU) bound by placing the containment abstraction in a memory store, based upon the workload, and allocating the workload of the containment abstraction across at least a portion of a data center to optimize the workload of the containment abstraction.

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San Francisco, CA, United States of America

Jason Alexander Hoffman