Vmware, Inc.

Adlast, Inc.

Bento Labs Inc.

Parth Shah

Pradeep Padala

Ajay Gulati

Aashish Parikh

Madhuri Yechuri

Xiaoyun Zhu

Rean Griffith

David Lee

Lei Lu

Andrew Look

John Milinovich

Neal Wiggins

James Turner

Sujeeth

Nathanael Smith

Chris Sell

Manan Patel

Jeremy Lucas

Joe Isaacson

Andrew Goldstein

Greg Bowyer

Keith Farkas

Mustafa Uysal

Kunal Punera

Joanne Ren

Nikhil Vijay Chandhok

Aastha Bhardwaj

Badhrinath Sampathkumar

Mike Zucca

Maxim Gurevich

Jeffrey Leon

Nelson Lance Osacky

Kyle David Wilkinson

A cloud management server and method for performing automatic placement of clients in a distributed computer system uses a list of compatible clusters to select an affinity cluster to place the clients associated with an affinity constraint. As part of the placement method, a cluster that cannot satisfy any anti-affinity constraint associated with the clients and the affinity constrain is removed from the list of compatible clusters. After the affinity cluster has been selected, at least one cluster in the distributed computer system is also selected to place clients associated with an anti-affinity constraint.

Automatic placement of clients in a distributed computer system satisfying constraints

Power consumption by a first host included in a plurality of hosts in a clustered computing system, where each of the hosts executes one or more applications, is managed by detecting that a utilization level of the first host falls below a threshold value and, responsive to the detecting, migrating one or more applications executing on the first host to a second host. After the migration is completed, the first host is caused to consume less power while remaining powered on.

System and method for performing distributed power management without power cycling hosts

A placement simulator is used for testing a placement engine in a virtual machine environment. The placement simulator includes a simulation controller, an event manager, and an inventory manager. The simulation controller receives input data for a simulated datacenter. The event manager invokes event handlers for a sequence of events from the input data. The inventory manager stores states of inventory objects to simulate deployment of virtual infrastructure resources by the placement engine based on the sequence of the events.

System and method for simulating virtual machine (VM) placement in virtual datacenters

A universal resource management system and method for performing resource management operations for different computing environments uses a universal snapshot of the different computing environments to perform a resource management analysis to produce at least one recommended action for the different computing environments. The universal snapshot is created using state information collected from the different computing environments. The recommended action is then implemented in at least one of the different computing environments.

System and method for performing universal resource management operations for different virtualized computing environments

A system and method for managing resources in a distributed computer system that includes at least one resource pool for a set of virtual machines (VMs) utilizes a set of desired individual VM-level resource settings that corresponds to target resource allocations for observed performance of an application running in the distributed computer system. The set of desired individual VM-level resource settings are determined by constructing a model for the observed application performance as a function of current VM-level resource allocations and then inverting the function to compute the target resource allocations in order to meet at least one user-defined service level objective (SLO). The set of desired individual VM-level resource settings are used to determine final RP-level resource settings for a resource pool to which the application belongs and final VM-level resource settings for the VMs running under the resource pool, which are then selectively applied.

Performance-driven resource management in a distributed computer system

A method and apparatus for performing anticipatory push search for a homescreen browser of a mobile device is described. The method may include collecting profile data indicative of behavior of a user with respect to usage of a mobile device and constructing a user profile for an anticipated usage of the mobile device by the user. Furthermore, the method may include publishing a content search request based on the anticipated usage of the mobile device by the user, and receiving at least one content response from a content provider. The method may also include providing content from the content response to the mobile device based on the anticipated usage of the mobile device by the user, the content for populating an anticipatory homescreen browser displayed by the mobile device.

Systems and methods for anticipatory push search for a homescreen browser

Techniques for enabling virtual machine (VM) recovery on non-shared storage in a single virtual infrastructure management server (VIMS) instance are provided. In one set of embodiments, a VIMS instance can receive an indication that a VM in a first cluster of the VIMS instance has failed, and can determine whether the VM's files were being replicated to a storage component of the VIMS instance at the time of the VM's failure. If the VM's files were being replicated at the time of the failure, the VIMS instance can search for and identify a cluster of the VIMS instance and a host system within the cluster that (1) are compatible with the VM, and (2) have access to the storage component. The VIMS instance can then cause the VM to be restarted on the identified host system of the identified cluster.

Virtual machine recovery on non-shared storage in a single virtual infrastructure management instance

A system and method for performing automatic remediation in a distributed computer system with multiple clusters of host computers uses the same placement selection algorithm for initial placements and for remediation placements of clients. The placement selection algorithm is executed to generate a placement solution when a remediation request in response to a remediation-requiring condition in the distributed computer system for at least one client running in one of the multiple clusters of host computers is detected and a remediation placement problem for the client is constructed. The placement solution is then implemented for the client for remediation.

Automatic remediation in a distributed computer system with multiple clusters of host computers

In a system for enabling a user to access a product or service, resources for accessing the product or service, such as apps on a user device, are explored in a specified order. A relatively lower priority resource is not explored until it is determined that all higher priority resources are unavailable. Within the content corresponding to an available resource, the user can be readily directed to the portion of the content that is associated with the particular product or service.

Systems and methods for directing access to products and services

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Mountain View, CA, United States of America

Parth Shah