Huawei Technologies Co., Limited

Huawei Cloud Computing Technologies Co., Ltd.

Zhi Zhao

Zhenhua Hu

Xiangyang Wu

Rong Chen

Xuan Jiang

Xiaodi Ke

Ming Chen

Zhigang Luo

Gui Fu

Heng Kuang

Shaohui Xu

Khaled Ziya Aeen

A redundancy method includes that a first disaster management function (DMF) device on a first site side receives a first request including identification information of a first virtual machine (VM) and a recovery point objective (RPO), allocates a maximum allowable delay time to each node that input/output (IO) data of the first VM passes through in a redundancy process, and sends a second request to a second DMF device on a second site side. The second request includes a maximum allowable delay time of a second replication gateway function (RGF) device on the second site side, and a maximum allowable delay time of an IO writer function (IOWF) device on the second site side and requests the second site side to perform redundancy on the first VM. Hence, the RPO requirements of the tenants can be satisfied in an entire redundancy process.

Redundancy method, device, and system

Systems and methods for controlling management operations and shared memory space are disclosed. A cloud cache management controller may receive multiple sets of service attributes. Each set of the multiple sets of service attributes may be related to a cloud cache service instance. The cloud cache management controller may receive a first cloud cache management request. The cloud cache management request may comprise a cloud cache management operation. The cloud cache management controller may retrieve a set of service attributes from the multiple sets of service attributes based on an evaluation of the cloud cache management operation. The cloud cache management controller may send the first cloud cache management request to a corresponding CCSI based on a priority value for the first cloud cache management request calculated based on the retrieved set of service attributes.

System and method to schedule management operations and shared memory space for multi-tenant cache service in cloud

Systems and methods are disclosed herein for allocating computing resources for execution of workloads in a distributed computing system with resource acquisition cycles and workload scheduling cycles. One or more resource offer managers transmit resource offers to each of one or more of schedulers. Each scheduler transmits a resource request and/or resource release request in response to each resource offer manager. Each resource offer manager computes a resource allocation for each scheduler after resolving conflicts and assigns the resources to each scheduler according to the resource allocation decisions. The resource acquisition cycle and the workload scheduling cycle are decoupled.

Systems and methods for allocating computing resources in distributed computing

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North York, Canada

Zhi Zhao