Abstract: Methods and apparatus for providing consistent data storage in distributed computing systems. A consistent distributed computing file system (consistent DCFS) may be backed by an object storage service that only guarantees eventual consistency, and may leverage a data storage service (e.g., a database service) to store and maintain a file system/directory structure (a consistent DCFS directory) for the consistent DCFS that may be accessed by compute nodes for file/directory information relevant to the data objects in the consistent DCFS, rather than relying on the information maintained by the object storage service. The compute nodes may reference the consistent DCFS directory to, for example, store and retrieve strongly consistent metadata referencing data objects in the consistent DCFS. The compute nodes may, for example, retrieve metadata from consistent DCFS directory to determine whether the object storage service is presenting all of the data that it is supposed to have.

Abstract: A system and method for improving the speed of generating a list of previously-uncounted items stored with a computing resource service provider. The system and method involve obtaining a set of keys from a data store, wherein each key of the set of keys corresponds to an item in a group of items, wherein a quantity of items in the group is uncounted. The system and method further includes generating a first sub-listing of keys based at least in part on a first key range of the set of keys by executing a first thread, generating a second sub-listing of keys based at least in part on a second key range of the set of keys by executing a second thread, combining the first sub-listing of keys with the second sub-listing of keys to produce a list of keys, and providing the list of keys.

Abstract: Methods and apparatus for providing consistent data storage in distributed computing systems. A consistent distributed computing file system (consistent DCFS) may be backed by an object storage service that only guarantees eventual consistency, and may leverage a data storage service (e.g., a database service) to store and maintain a file system/directory structure (a consistent DCFS directory) for the consistent DCFS that may be accessed by compute nodes for file/directory information relevant to the data objects in the consistent DCFS, rather than relying on the information maintained by the object storage service. The compute nodes may reference the consistent DCFS directory to, for example, store and retrieve strongly consistent metadata referencing data objects in the consistent DCFS. The compute nodes may, for example, retrieve metadata from consistent DCFS directory to determine whether the object storage service is presenting all of the data that it is supposed to have.

Abstract: Techniques are described for generating and using information regarding road traffic in various ways, including by obtaining and analyzing road traffic information regarding actual behavior of drivers of vehicles on a network of roads. Obtained actual driver behavior information may in some situations be analyzed to identify decision point locations at which drivers face choices corresponding to possible alternative routes through the network of roads (e.g., intersections, highway exits and/or entrances, etc.), as well as to track the actual use by drivers of particular paths between particular decision points in order to determine preferred compound links between those decision point locations. The identified and determined information from the analysis may then be used in various manners, including in some situations to assist in determining particular recommended or preferred routes of vehicles through the network of roads based at least in part on actual driver behavior information.

Abstract: Techniques are described for generating and using information regarding road traffic in various ways, including by obtaining and analyzing road traffic information regarding actual behavior of drivers of vehicles on a network of roads. Obtained actual driver behavior information may in some situations be analyzed to determine actual delays for vehicles encountering various particular road features in the network of roads, such as for identified decision points at which drivers face choices corresponding to possible alternative routes through the network of roads (e.g., intersections, highway exits and/or entrances, etc.) and/or for other traffic flow impediments. The identified and determined information from the analysis may then be used in various manners, including in some situations to assist in determining particular recommended or preferred routes of vehicles through the network of roads based at least in part on actual driver behavior information.

Abstract: Techniques are described for generating and using information regarding road traffic in various ways, including by obtaining and analyzing road traffic information regarding actual behavior of drivers of vehicles on a network of roads. Obtained actual driver behavior information may in some situations be analyzed to identify decision point locations at which drivers face choices corresponding to possible alternative routes through the network of roads (e.g., intersections, highway exits and/or entrances, etc.), as well as to track the actual use by drivers of particular paths between particular decision points in order to determine preferred compound links between those decision point locations. The identified and determined information from the analysis may then be used in various manners, including in some situations to assist in determining particular recommended or preferred routes of vehicles through the network of roads based at least in part on actual driver behavior information.

Abstract: Techniques are described for generating and using information regarding road traffic in various ways, including by obtaining and analyzing road traffic information regarding actual behavior of drivers of vehicles on a network of roads. Obtained actual driver behavior information may in some situations be analyzed to identify decision point locations at which drivers face choices corresponding to possible alternative routes through the network of roads (e.g., intersections, highway exits and/or entrances, etc.), as well as to track the actual use by drivers of particular paths between particular decision points in order to determine preferred compound links between those decision point locations. The identified and determined information from the analysis may then be used in various manners, including in some situations to assist in determining particular recommended or preferred routes of vehicles through the network of roads based at least in part on actual driver behavior information.

Abstract: Techniques are described for generating and using information regarding road traffic in various ways, including by obtaining and analyzing road traffic information regarding actual behavior of drivers of vehicles on a network of roads. Obtained actual driver behavior information may in some situations be analyzed to identify decision point locations at which drivers face choices corresponding to possible alternative routes through the network of roads (e.g., intersections, highway exits and/or entrances, etc.), as well as to track the actual use by drivers of particular paths between particular decision points in order to determine preferred compound links between those decision point locations. The identified and determined information from the analysis may then be used in various manners, including in some situations to assist in determining particular recommended or preferred routes of vehicles through the network of roads based at least in part on actual driver behavior information.

Abstract: Techniques are described for generating and using information regarding road traffic in various ways, including by obtaining and analyzing road traffic information regarding actual behavior of drivers of vehicles on a network of roads. Obtained actual driver behavior information may in some situations be analyzed to determine actual delays for vehicles encountering various particular road features in the network of roads, such as for identified decision points at which drivers face choices corresponding to possible alternative routes through the network of roads (e.g., intersections, highway exits and/or entrances, etc.) and/or for other traffic flow impediments. The identified and determined information from the analysis may then be used in various manners, including in some situations to assist in determining particular recommended or preferred routes of vehicles through the network of roads based at least in part on actual driver behavior information.