Abstract:
Systems and methods for providing enhancement of upload and/or download performance based on client and/or server feedback information are disclosed. In an embodiment, the disclosed method detects that a data transfer event is about to occur and based on a set of characteristics associated with the data transfer event, selects a host from a group of hosts as a pathway for transferring data associated with the data transfer event to optimize data transfer performance. The group of hosts can include a server providing cloud-based collaboration and/or storage services, one or more content delivery network servers and/or geographically distributed edge servers.
Abstract:
Systems and methods for providing enhancement of upload and/or download performance based on client and/or server feedback information are disclosed. In one embodiment, the disclosed method optimizes upload performance by performing an upload speed test to measure an upload speed associated with each of multiple servers. The method detects a user request to upload a file from a client device to a host server. Based on results from the upload speed test, the method selects one of the multiple servers to upload the file. The multiple servers can include host servers providing cloud-based collaboration and/or storage services, one or more content delivery network servers and/or geographically distributed edge servers.
Abstract:
Techniques are disclosed for improving scalability in a system which incrementally updates remote clients with events that occurred in a cloud-enabled platform. In one embodiment, a method comprises, in response to an action from a user in the cloud-enabled platform, determining a list of events to update one or more collaborators of the user about the action. The method further comprises separating the list of events into a plurality of sub-lists of events such that each sub-list of events can be stored in a database within a designated amount of time, and further comprises storing the plurality of sub-lists of events into the database to be read by the one or more collaborators. Among other advantages, embodiments disclosed herein provide enhancement in scalability, robustness and availability for cloud-based collaboration platforms with large numbers of collaborators by incorporating mechanisms to divide-and-conquer the workload of event updates in such platforms.
Abstract:
Systems and methods for providing enhancement of upload and/or download performance based on client and/or server feedback information are disclosed. In one embodiment, the disclosed method optimizes upload performance by performing an upload speed test to measure an upload speed associated with each of multiple servers. The method detects a user request to upload a file from a client device to a host server. Based on results from the upload speed test, the method selects one of the multiple servers to upload the file. The multiple servers can include host servers providing cloud-based collaboration and/or storage services, one or more content delivery network servers and/or geographically distributed edge servers.
Abstract:
A system for client-server web applications is disclosed. Operations commence upon opening a client-server session configurable to establish a full-duplex persistent network communications between a client device and a server, then receiving an indication to upload or download one or more files or objects over the full-duplex persistent network communications.
Abstract:
A system for client-server web applications is disclosed. Operations commence upon opening a client-server session configurable to establish a full-duplex persistent network communications between a client device and a server, then receiving an indication to upload or download one or more files or objects over the full-duplex persistent network communications.
Abstract:
Techniques are disclosed for improving scalability in a system which incrementally updates remote clients with events that occurred in a cloud-enabled platform. In one embodiment, a method comprises, in response to an action from a user in the cloud-enabled platform, determining a list of events to update one or more collaborators of the user about the action. The method further comprises separating the list of events into a plurality of sub-lists of events such that each sub-list of events can be stored in a database within a designated amount of time, and further comprises storing the plurality of sub-lists of events into the database to be read by the one or more collaborators. Among other advantages, embodiments disclosed herein provide enhancement in scalability, robustness and availability for cloud-based collaboration platforms with large numbers of collaborators by incorporating mechanisms to divide-and-conquer the workload of event updates in such platforms.
Abstract:
Systems and methods for providing enhancement of upload and/or download performance based on client and/or server feedback information are disclosed. In an embodiment, the disclosed method detects that a data transfer event is about to occur and based on a set of characteristics associated with the data transfer event, selects a host from a group of hosts as a pathway for transferring data associated with the data transfer event to optimize data transfer performance. The group of hosts can include a server providing cloud-based collaboration and/or storage services, one or more content delivery network servers and/or geographically distributed edge servers.