Vmware, Inc.

Microsoft Technology Licensing, LLC

International Business Machines Corporation

Rajesh Agarwalla

Arun Kwangil Iyengar

Raja Kommula

Thayumanavan Sridhar

George Prentice Copeland

Emily Hong Xu

Mark Holmes Linehan

James R Challenger

Subbarao K Meduri

Sridevi Ravuri

Michael Lee Hall, Jr

Yateendra Kulkarni

Sushil Shripal Munot

Sankar Hariharan

Rui Shen

Dinesh Dhakal

Clark Elliott Haskins, Iii

Junkai Xue

Samir Tata

Venkat Deep Rajan

Mark Lewis Randles

Meng Zhang

Andrew T Chin

Hasan Mahmood

Lei Xia

In an example embodiment, the concept of effective application availability is introduced. In a data center, there may be a minimum amount of a particular resource that is needed to continue proper functioning of an application. This may be termed a safe application availability limit. The safe application availability limit may be obtained or determined using a safe application availability limit rule. An effective application availability may be calculated by taking a current application availability and subtracting it by an availability loss from a requested operation. The effective application availability may then be compared to the safe application availability limit in order to determine whether to permit the operation to be performed at the requested time, or whether to request that the operation be attempted again at some later time.

Lock-lease management of hardware and software maintenance, deployment, and optimization operations using effective application availaility

A system and method for supplying on-premise hyper-converged systems uses a cloud service to receive orders for the on-premise hyper-converged systems from customers and to request a system integrator to procure hardware components of the on-premise hyper-converged systems and to assemble hardware components to produce assembled systems. Software components are remotely installed and configured in the assembled systems from the cloud service using bring-up appliances in virtual private clouds created for the on-premise hyper-converged systems to deploy software-defined data centers (SDDCs) in the on-premise hyper-converged systems. The resulting on-premise hyper-converged systems with the deployed SDDCs can then used by the customers.

System and method for supplying on-premise hyper-converged systems

Methods, apparatus, and articles of manufacture are disclosed to improve resource allocation for virtualized server systems. An example apparatus includes a resource identifier to identify a set of external storage resources when a host storage solution is not identified, a storage cost calculator to calculate a cost corresponding to the external storage resource set by comparing a parameter of an external storage resource in the external storage resource set to a requirement, a cost analyzer to determine whether the cost satisfies a cost threshold by comparing the cost to a cost threshold, and a workload domain allocator to allocate the external storage resource set to the workload domain when the cost satisfies the cost threshold.

Methods and apparatus to improve external resource allocation for hyper-converged infrastructures based on costs analysis

Growing community of inventors

San Ramon, CA, United States of America

Rajesh Agarwalla