Verizon Digital Media Services Inc.

Edgecast Inc.

Edgecast Networks, Inc.

Donnevan Scott Yeager

Derek Shiell

Harkeerat Singh Bedi

Robert J Peters

Timothy W Hartrick

Kyriakos Zarifis

Hayes Kim

Provided is a controller for dynamically balancing load between different servers using different thresholds that are continually modified for each of the servers. The controller may generate a baseline load measure based on load measures received from the different servers, and may configure a first threshold for a first server and a second threshold for a second server based on the load measure at the first server deviating from the baseline load measure by a first amount that is greater than a second amount by which the load measure at the second server deviates from the baseline load measure. The controller may allocate an additional server to distribute first content with the first server in response to first content load at the first server satisfying the first threshold and the same load or a greater load of second content at the second server not satisfying the second threshold.

Systems and methods for dynamic load balancing based on server utilization and content popularity

A Multi-Threaded Indexed ('MTI') file system may use a first set of threads, processes, or executable instances to index desired file attributes in a database while simultaneously but independently executing file operations with a second set of threads, processes, or executable instances. In response to receiving a file operation, the second set of threads, processes, or executable instance may query the database to directly identify files that are indirectly implicated by the file operation with a wildcard, regular expression, and/or other expression that indirectly identifies the files based on different file attributes, paths, name expressions, or combinations thereof. The second set of threads, processes, or executable instances are therefore able to identify the files implicated by the file operation based solely on the indexed file attributes already entered in the database without the need to load and scan the metadata of files in directories targeted by the file operation.

Systems and methods for large scale complex storage operation execution

The embodiments provide peer cache filling. The peer cache filling allocates a set of caching servers to distribute content in response to user requests with a limited first subset of the set of servers having access to retrieve the content from an origin and with a larger second subset of the set of servers retrieving the content from the first subset of servers without accessing the origin. The peer cache filling dynamically escalates and deescalates the allocation of the caching servers to the first and second subsets as demand for the content rises and falls. Peer cache filling is implemented by modifying request headers to identify designated hot content, provide a request identifier hash result for identifying the ordering of servers, and provide a value for designating which servers in the ordering as primary server with access to the origin.

Peer cache filling

Asynchronous file tracking may include a first process that adds files to a cache and that generates different instances of a tracking file to track the files as they are entered into the cache. A second process, executing on the device, asynchronously accesses one or more instances of the tracking file at a different rate than the first process generates the tracking file instances. The second process may update a record of cached files based on a set of entries from each of the different instances of the tracking file accessed by the second process. Each set of entries may identify a different set of files that are cached by the device. The second process may then purge one or more cached files that satisfy eviction criteria while the first process continues to asynchronously add files to the cache and create new instances to track the newly cached files.

Asynchronous tracking for high-frequency and high-volume storage

Disclosed are systems and methods for performing consistent request distribution across a set of servers based on a request Uniform Resource Locator (URL) and one or more cache keys, wherein some but not all cache keys modify the content requested by the URL. The cache keys include query string parameters and header parameters. A request director parses a received request, excludes irrelevant cache keys, reorders relevant cache keys, and distributes the request to a server from the set of servers tasked with serving content differentiated from the request URL by the relevant cache keys. The exclusion and reordering preserves the consistent distribution of requests directed to the same URL but different content as a result of different cache key irrespective of the placement of the relevant cache keys and inclusion of irrelevant cache keys in the request.

Cache key based request routing

The embodiments provide peer cache filling. The peer cache filling allocates a set of caching servers to distribute content in response to user requests with a limited first subset of the set of servers having access to retrieve the content from an origin and with a larger second subset of the set of servers retrieving the content from the first subset of servers without accessing the origin. The peer cache filling dynamically escalates and deesclataes the allocation of the caching servers to the first and second subsets as demand for the content rises and falls. Peer cache filling is implemented by modifying request headers to identify designated hot content, provide a request identifier hash result for identifying the ordering of servers, and provide a value for designating which servers in the ordering as primary server with access to the origin.

Some embodiments provide a proprietary 64-bit consistent distribution scheme that preserves the efficiencies of CARP while providing a significantly more balanced distribution of requests that is on par with schemes reliant on computationally expensive cryptographic hashes. The scheme performs hashing of requested URLs and identifiers of available servers over a 64-bit space while optimizing the hashing to remove computationally expensive operations. Some embodiments provide a variant of the scheme to provide a differentiated distribution on the basis of one or more differentiating factors. A first variant utilizes load factor values to adjust the resulting hashes and to produce a first distribution of differentiated content that varies from a second distribution of undifferentiated content. A second variant identifies requests for differentiated content from requests for undifferentiated content and utilizes a first scheme to distribute the differentiated content and a second altered scheme to distribute the undifferentiated content.

Growing community of inventors

Anderson Island, WA, United States of America

Donnevan Scott Yeager