Microsoft Technology Licensing, LLC

Kushal Suresh Narkhede

Gregory Irving Thiel

Todd Carlyle Luttinen

Bradley David Rutkowski

Rajesh Kumar Maskara

Harshwardhan Mittal

Saraswathy Srinivasan

Ravi Rao

Sandeep Singhal

Alain L Michaud

Khawar Zuberi

James George Cavalaris

Uday Sooryakant Hegde

Gianluigi Nusca

Samuel David Adams

Mathrubootham Janakiraman

Eliot John Flannery

Benjamin Scott McGregor

R Scott Briggs

Niket Ashok Sanghvi

Nilesh R Shah

See-Mong Tan

Andrew Gordon Cunningham

Jacob Nieman

Alain Michaud

Various embodiments of the present technology generally relate to systems and methods for intelligent load shedding. More specifically, various embodiments of the present technology generally relate to intelligent load shedding of traffic based on current load state of target capacity. In some embodiments, a first server can send a capacity request indicating that the first server is nearing capacity and needs assistance with load. In response to the capacity request, an assistance request can be published to additional nearby servers. The servers can respond with a status update providing load and availability information. Based on the load and availability information (or other information such as latency), a second server from the additional servers can be selected and traffic can be routed away from the first server to the second server.

Near real-time computation of scaling unit's load and availability state

Systems, methods, and computer-readable storage media are provided for publishing, discovering, connecting with and activating services in a peer-to-peer environment. Services available in association with a first computing device are determined and encoded with instructions for accessing and understanding such services via their respective activation protocols. The encoded services are published via a publication protocol such that they are discoverable by at least a second computing device, irrespective of whether such services may be activated via the publication protocol. The second computing device discovers the available services via the publication protocol and accesses and understands the instructions associated with a desired service. Upon receipt of a request from the second computing device, via the activation protocol, to activate the requested service, the requested service is activated by the first computing device.

Controlling service discovery and activation among peers

Various embodiments of the present technology generally relate to systems and methods for intelligent load shedding. More specifically, various embodiments of the present technology generally relate to intelligent load shedding of traffic based on current load state of target capacity. In some embodiments, a domain name resolution request to translate a domain name into an Internet protocol (IP) address can be received at DNS server. A status of each of multiple scaling units mapped to the domain name can be determined. A set of IP addresses (e.g., four IP addresses) corresponding to a subset of the multiple scaling units closest to the requesting device with statuses indicating availability for new traffic can be identified. Then, the set of IP addresses can be sent to the requesting device. The requesting device can the select which IP address to use (e.g., randomly) to route the traffic.

Intelligent load shedding of traffic based on current load state of target capacity

Smart channel selection for autonomous initiators of peer-to-peer groups is disclosed. A device acting as an initiator device of a peer-to-peer group may configure the group by selecting a channel for the peer-to-peer group, where the selected channel is also the best channel available for potential group member devices to connect to a network having a coverage area in which the initiator device operates. Group member devices operating, or potentially operating, on the peer-to-peer connection will then select the best channel if they connect to the network, and use the same channel for both the peer-to-peer and network connections. Group member devices will then not be required to operate in a multi-channel mode. In embodiments, the best channel may be selected by the initiator device, for example, by determining that the channel has the highest signal strength or the fastest data rate of channels as measured at the group initiator, or by other suitable criteria.

Smart channel selection for autonomous group initiators

The described method and system enables a client at a branch office to retrieve data from a local hosted cache instead of an application server over a WAN to improve latency and reduce overall WAN traffic. A server at the data center may be adapted to provide either a list of hashes or the requested data based on whether a hosted cache system is enabled. A hosted cache at the client side may provide the data to the client based on the hashes. The hashes may be generated to provide a fingerprint of the data which may be used to index the data in an efficient manner.

Method and system of using a local hosted cache and cryptographic hash functions to reduce network traffic

Application data associated with an application program located on a storage device is restored utilizing tracked changed blocks of the storage device. The changed blocks of the storage device are tracked as the application program modifies the application data. When a system failure has occurred, file change data is generated for each file of the application data as a function of tracked changed blocks of the storage device and file system metadata of the storage device. Additionally, a file difference record for each changed file is generated to indicate changes between the application data and the last backup. The file difference record is applied to the application data such that application data corresponds to the state of last backup.

Optimizing backup and recovery utilizing change tracking

Application data associated with an application program located on a storage device is restored utilizing tracked changed blocks of the storage device. The changed blocks of the storage device are tracked as the application program modifies the application data. When a system failure has occurred, file change data is generated for each file of the application data as a function of tracked changed clocks of the storage device and file system metadata of the storage device. Additionally, a file difference record for each changed file is generated to indicate changes between the application data and the last backup. The file difference record is applied to the application data such that application data corresponds to the state of last backup.

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Redmond, WA, United States of America

Kushal Suresh Narkhede