Abstract: Embodiments are directed to managing data in a file system over a network. A file system that includes objects may be provided. A capacity value of the file system may be provided based on a storage size of the objects. A threshold value may be determined based on the capacity value and a metric partition count. Traversals of the file system may determine metric partitions such that each metric partition may be associated with some objects Metrics associated with activities that are associated with the file system may be monitored. Metric partition values may be determined based on metric values associated with the metric partitions such that each metric partition value may be based on a portion of the metric values associated with a portion of the activities associated with a corresponding metric partition. Visualizations may be generated based on the metric partition values.

Abstract: Embodiments are directed to managing data in a file system over a network. A file system that includes objects may be provided. A capacity value of the file system may be provided based on a storage size of the objects. A threshold value may be determined based on the capacity value and a metric partition count. Traversals of the file system may determine metric partitions such that each metric partition may be associated with some objects Metrics associated with activities that are associated with the file system may be monitored. Metric partition values may be determined based on metric values associated with the metric partitions such that each metric partition value may be based on a portion of the metric values associated with a portion of the activities associated with a corresponding metric partition. Visualizations may be generated based on the metric partition values.

Abstract: Embodiments are directed to managing data in a file system. A query may be provided to determine characteristics associated with a file system and a sampling model. The sampling model may be employed to determine objects in the file system based on a traversal of the file system. The sampling model may be employed to determine metrics associated with the alternate data streams (ADSs) included in the objects such that each of the objects that includes a separate main data stream and the ADSs may be associated with data blocks and the ADSs may each be associated with other data blocks. The sampling model and the query may be employed to sample the objects to provide partial results such that the sampling may be distributed between the objects based on the sampling model and the metrics. A result to the query may be provided based on the partial results.

Abstract: Embodiments are direct to managing file systems. Alternate data streams (ADSs) of an object in a file system may be modified based on a request from a client and metrics associated with the ADSs may be modified. Values for reconcile fields associated with the object may be set based on the modified metrics such that the object with the modified ADSs may be included in a reconcile list. And, such that an acknowledgment of the request may be provided to the client. A reconcile engine may determine a parent object of the object. The object may be reconciled and the parent object may be placed on the reconcile list for reconciling in turn.

Abstract: A software and hardware facility persistently maintains metrics on directories at different levels within a tree of a filesystem. The facility hierarchically aggregates attributes of files contained by directories and stores them as metric values in each directory within a tree. The stored values represent summed or otherwise aggregated data from the descendant directories and files. The metric values represent aggregated attributes such as checksums, MIN and/or MAX aggregates, sameness bits, bloom filter aggregates, queryable user tags, moving average aggregates, b-tree aggregates, etc. The facility provides mechanisms for efficiently sampling activities performed by the filesystem and visually representing these activities.

Abstract: Embodiments are directed to managing data in a file system over a network. A file system that includes a master node and client nodes may be provided. A master quorum value and a client quorum value having the same value may be provided. A profile catalog associated with the master node that includes parameters may be provided. Profile registers associated with the client nodes may be provided. Change actions may be executed on each client node based on change information provided by the master node. In response to errors, access to the file system may be suspended; the master quorum value may be modified to indicate that the file system is out of quorum; recovery actions may be executed; the client quorum value at each client node may be modified to correspond with the master quorum value; and access to the file system may be restored.

Abstract: Embodiments are directed to managing data in a file system. A pre-fetch engine may receive requests from a client the file system that includes a pre-fetch storage tier and a file storage tier of storage devices. The pre-fetch engine determines a pre-fetch policy based on the requests such that the pre-fetch policy determines which blocks to copy to the pre-fetch storage tier. And, the pre-fetch policy may be associated with a score model that includes score rules where one of the rules may be associated with a client score. The pre-fetch engine may obtain scores associated with the score rules such that the scores are based on previous requests made by the client. In response to scores exceeding a threshold value, the pre-fetch engine may copy the blocks to the pre-fetch storage tier. The pre-fetch engine may update the scores based on the performance of the pre-fetch policy.

Abstract: Embodiments are directed to managing data in a file system. An engine may receive read requests associated with a file system that includes pre-fetch storage and file storage. The engine may employ a pre-fetch policy selected from a plurality of pre-fetch policies to copy blocks to pre-fetch storage. The engine may evaluate the selected pre-fetch policy and also evaluate simulated performances for each unselected pre-fetch policy based on subsequent read requests. The engine may provide a performance score based on the evaluation of the selected pre-fetch policy and it may provide other performance scores based on the simulated evaluation of each unselected pre-fetch policy If one of the other performance scores for one of the unselected pre-fetch policies exceeds the performance score of the selected pre-fetch policy, the engine may select that unselected pre-fetch policies as a new selected pre-fetch policy.

Abstract: A facility comprising methods and systems for analyzing and visualizing trends in the usage of data within a shared storage filesystem is disclosed. The facility analyzes the rate at which the filesystem or a portion thereof is used by periodically generating manifests of the usage of the filesystem and comparing one manifest to another manifest. Furthermore, the facility may store additional information relevant to the manifest, such as the time at which the manifest was taken; for each directory, the sum of all of the values determined for items in that directory (including any subdirectories); and so on. In this manner, the facility collects and stores information relevant to developing trend information for each item in the filesystem. The trends analysis and visualizations described herein provide quick insight into the changes deemed most interesting or significant between two times.

Abstract: A facility comprising methods and systems for analyzing and visualizing trends in the usage of data within a shared storage filesystem is disclosed. The facility analyzes the rate at which the filesystem or a portion thereof is used by periodically generating manifests of the usage of the filesystem and comparing one manifest to another manifest. Furthermore, the facility may store additional information relevant to the manifest, such as the time at which the manifest was taken; for each directory, the sum of all of the values determined for items in that directory (including any subdirectories); and so on. In this manner, the facility collects and stores information relevant to developing trend information for each item in the filesystem. The trends analysis and visualizations described herein provide quick insight into the changes deemed most interesting or significant between two times.

Abstract: A software and hardware facility persistently maintains metrics on directories at different levels within a tree of a filesystem. The facility hierarchically aggregates attributes of files contained by directories and stores them as metric values in each directory within a tree. The stored values represent summed or otherwise aggregated data from the descendant directories and files. The metric values represent aggregated attributes such as checksums, MIN and/or MAX aggregates, sameness bits, bloom filter aggregates, queryable user tags, moving average aggregates, b-tree aggregates, etc. The facility provides mechanisms for efficiently sampling activities performed by the filesystem and visually representing these activities.

Abstract: A facility comprising methods and systems for analyzing and visualizing trends in the usage of data within a shared storage filesystem is disclosed. The facility analyzes the rate at which the filesystem or a portion thereof is used by periodically generating manifests of the usage of the filesystem and comparing one manifest to another manifest. Furthermore, the facility may store additional information relevant to the manifest, such as the time at which the manifest was taken; for each directory, the sum of all of the values determined for items in that directory (including any subdirectories); and so on. In this manner, the facility collects and stores information relevant to developing trend information for each item in the filesystem. The trends analysis and visualizations described herein provide quick insight into the changes deemed most interesting or significant between two times.

Abstract: A software and hardware facility persistently maintains metrics on directories at different levels within a tree of a filesystem. The facility hierarchically aggregates attributes of files contained by directories and stores them as metric values in each directory within a tree. The stored values represent summed or otherwise aggregated data from the descendant directories and files. The metric values represent aggregated attributes such as checksums, MIN and/or MAX aggregates, sameness bits, bloom filter aggregates, queryable user tags, moving average aggregates, b-tree aggregates, etc. The facility provides mechanisms for efficiently sampling activities performed by the filesystem and visually representing these activities.

Abstract: A software and hardware facility persistently maintains metrics on directories at different levels within a tree of a filesystem. The facility hierarchically aggregates attributes of files contained by directories and stores them as metric values in each directory within a tree. The stored values represent summed or otherwise aggregated data from the descendant directories and files. The metric values represent aggregated attributes such as checksums, MIN and/or MAX aggregates, sameness bits, bloom filter aggregates, queryable user tags, moving average aggregates, b-tree aggregates, etc. The facility provides mechanisms for efficiently sampling activities performed by the filesystem and visually representing these activities.

Abstract: A facility comprising methods and systems for analyzing and visualizing trends in the usage of data within a shared storage filesystem is disclosed. The facility analyzes the rate at which the filesystem or a portion thereof is used by periodically generating manifests of the usage of the filesystem and comparing one manifest to another manifest. Furthermore, the facility may store additional information relevant to the manifest, such as the time at which the manifest was taken; for each directory, the sum of all of the values determined for items in that directory (including any subdirectories); and so on. In this manner, the facility collects and stores information relevant to developing trend information for each item in the filesystem. The trends analysis and visualizations described herein provide quick insight into the changes deemed most interesting or significant between two times.

Abstract: A software and hardware facility persistently maintains metrics on directories at different levels within a tree of a filesystem. The facility hierarchically aggregates attributes of files contained by directories and stores them as metric values in each directory within a tree. The stored values represent summed or otherwise aggregated data from the descendant directories and files. The metric values represent aggregated attributes such as checksums, MIN and/or MAX aggregates, sameness bits, bloom filter aggregates, queryable user tags, moving average aggregates, b-tree aggregates, etc. The facility provides mechanisms for efficiently sampling activities performed by the filesystem and visually representing these activities.

Abstract: A software and hardware facility persistently maintains metrics on directories at different levels within a tree of a filesystem. The facility hierarchically aggregates attributes of files contained by directories and stores them as metric values in each directory within a tree. The stored values represent summed or otherwise aggregated data from the descendant directories and files. The metric values represent aggregated attributes such as checksums, MIN and/or MAX aggregates, sameness bits, bloom filter aggregates, queryable user tags, moving average aggregates, b-tree aggregates, etc. The facility provides mechanisms for efficiently sampling activities performed by the filesystem and visually representing these activities.

Abstract: Keywords describing a subject matter domain associated with a target Web page are received. A plurality of Web pages that refer to the keywords are determined along with a ranking of the plurality of Web pages. For a given Web page of the plurality of Web pages, each unique link within the given Web page to any other of the plurality of Web pages is identified and a total number of unique links within the given Web page to any other of the plurality of Web pages is determined. This is repeated for each of the plurality of Web pages. The plurality of Web pages is ordered by the determined total number of unique links and by a ranking of each of the plurality of Web pages. The ordered plurality of Web pages is provided as recommended Web pages in which to create inbound links to the target Web page.

Abstract: Techniques for recommending Web pages or other content sources as candidates for link placement are described. Some embodiments provide a marketing activity support system (“MASS”) configured to recommend candidate Web pages for link placement. Recommending candidate Web pages may include determining multiple Web pages that include or reference one or more keywords that describe some subject matter domain. Recommending candidate Web pages may then further include ranking or ordering at least some of the multiple Web pages based on how many times each of the at least some Web pages references another one of the multiple Web pages. The ordered Web pages may then be presented as recommended candidate sites for link placement.

Abstract: Techniques for recommending Web pages or other content sources as candidates for link placement are described. Some embodiments provide a marketing activity support system (“MASS”) configured to recommend candidate Web pages for link placement. Recommending candidate Web pages may include determining multiple Web pages that include or reference one or more keywords that describe some subject matter domain. Recommending candidate Web pages may then further include ranking or ordering at least some of the multiple Web pages based on how many times each of the at least some Web pages references another one of the multiple Web pages. The ordered Web pages may then be presented as recommended candidate sites for link placement.