Microsoft Technology Licensing, LLC

Yue Zuo

Samer Arafeh

Yimin Deng

Bradley Gene Calder

Ju Wang

Andrew James Edwards

Forrest Curtis Foltz

Anu Engineer

Hoi Huu Vo

Vivek Bhanu

Vivek P Divakara

Hoyuen Chau

Albert Gordon Greenberg

Daniel Max Firestone

Pankaj Garg

Bryan William Tuttle

HoYuen Chau

Ho Yuen Chau

Samer N Arafeh

Cloud computing platforms having computer-readable media that perform methods for facilitating communications with storage. A request having a first-interface format to access storage is intercepted. The first interface format of the request supports access to a virtual hard drive (VHD). The request is translated to a blob request having a blob interface format. The blob interface format of the blob request supports access to a plurality of blobs of data in a blob store. The blob request is communicated to a blob interface such that the blob request is executed in managing the plurality of blobs.

Methods and systems for facilitating communications with storage

Managing virtual hard drives as blobs

Computerized methods, systems, and computer-storage media for allowing virtual machines (VMs) residing on a common physical node to fairly share network bandwidth are provided. Restrictions on resource consumption are implemented to ameliorate stressing the network bandwidth or adversely affecting the quality of service (QoS) guaranteed to tenants of the physical node. The restrictions involves providing a scheduler that dynamically controls networking bandwidth allocated to each of the VMs as a function of QoS policies. These QoS policies are enforced by controlling a volume of traffic being sent from the VMs. Controlling traffic includes depositing tokens into token-bucket queues assigned to the VMs, respectively. The tokens are consumed as packets pass through the token-bucket queues. Upon consumption, packets are held until sufficient tokens are reloaded to the token-bucket queues.

Applying policies to schedule network bandwidth among virtual machines

Computerized methods, systems, and computer-storage media for throttling requests from virtual machines (VMs) to a hard-disk drive (HDD) are provided. When a request for disk I/O is received from a VM, a disk-drive model that simulates performance characteristics of the HDD is accessed. During access, the disk-drive model's estimation of HDD parameters and the disk-drive model's estimation of a current state of a disk head of the HDD are gathered. A projected execution time to carry out the request is computed as a function of the estimated HDD parameters and the estimated current state of the disk head. Also, an actual execution time to carry out the request is measured upon allowing the request to pass to the HDD. Using a comparison of the projected execution time and the actual execution time, the traffic of the requests from the VMs is throttled.

Throttle disk I/O using disk drive simulation model

The present invention extends to methods, systems, and computer program products for offloading packet processing for networking device virtualization. A host maintains rule set(s) for a virtual machine, and a physical network interface card (NIC) maintains flow table(s) for the virtual machine. The physical NIC receives and processes a network packet associated with the virtual machine. Processing the network packet includes the physical NIC comparing the network packet with the flow table(s) at the physical NIC. When the network packet matches with a flow in the flow table(s) at the physical NIC, the physical NIC performs an action on the network packet based on the matching flow. Alternatively, when the network packet does not match with a flow in the flow table(s) at the physical NIC, the physical NIC passes the network packet to the host partition for processing against the rule set(s).

Offloading packet processing for networking device virtualization

Cloud computing platforms having computer-readable media that perform methods to manage virtual hard drives as blobs are provided. The cloud computing platform includes fabric computers and blob stores. The fabric computers execute virtual machines that implement one or more applications that access virtual hard drives. The data in the virtual hard drives is accessed, via a blob interface, from blobs in the blob stores. The blob stores interface with a driver that translates some application input/output (I/O) requests destined to the virtual hard drives to blob commands when accessing data in the virtual hard drives.

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Redmond, WA, United States of America

Yue Zuo