Abstract: Systems, methods and/or devices are used to reduce declared capacity of non-volatile memory of a storage device in a storage system. In one aspect, the method includes, detecting an amelioration trigger for reducing declared capacity of non-volatile memory of a storage device, and in accordance with the detected amelioration trigger, performing an amelioration process to reduce declared capacity of the non-volatile memory of the storage device, the performing including: moving a portion of data used by a host from the storage device to another storage device of the storage system, and reducing declared capacity of the non-volatile memory of the storage device. In some embodiments, the storage device includes one or more flash memory devices. In some embodiments, the detecting, the performing, or both are performed by the storage device, or by one or more subsystems of the storage system distinct from the storage device, or by the host.

Abstract: A storage system includes a memory controller and a storage device with one or more memory devices, each with a plurality of memory portions. The memory controller determines an initial storage capacity for each of the one or more memory devices, where the one or more memory devices are configured in a first storage density. The memory controller detects a trigger condition as to at least one memory portion of a respective device of the one or more memory devices and, in response to detecting the trigger condition, recharacterizes the at least one memory portion of the respective memory device so as to be configured in a second storage density, where the at least one recharacterized memory portion of the respective memory device has a reduced storage capacity. After the recharacterizing, the memory controller determines a revised storage capacity for the respective memory device.

Abstract: The present solution automatically detects the remote display protocol capabilities of the client, server and/or intermediaries to determine whether the client and server should compress the remote display protocol data or the intermediaries, and in some cases both.

Abstract: Systems, methods, and/or devices are used to reduce declared capacity of non-volatile memory of a storage device in a storage system. In one aspect, the method includes, detecting an amelioration trigger, and in accordance with the detected amelioration trigger, performing an amelioration process to reduce declared capacity of the non-volatile memory of the storage device, including: obtaining a target capacity of the non-volatile memory of the storage device and a current utilization of the non-volatile memory of the storage device, wherein the target capacity is lower than a current capacity of the non-volatile memory of the storage device and the current utilization corresponds to allocated logical addresses in a logical address space; in accordance with a determination that the target capacity is not greater than the current utilization, trimming at least a portion of the allocated logical addresses; and reducing declared capacity of the non-volatile memory of the storage device.

Abstract: The present solution automatically detects the remote display protocol capabilities of the client, server and/or intermediaries to determine whether the client and server should compress the remote display protocol data or the intermediaries, and in some cases both.

Abstract: Systems and methods for utilizing transaction boundary detection methods in queuing and retransmission decisions relating to network traffic are described. By detecting transaction boundaries and sizes, a client, server, or intermediary device may prioritize based on transaction sizes in queuing decisions, giving precedence to smaller transactions which may represent interactive and/or latency-sensitive traffic. Further, after detecting a transaction boundary, a device may retransmit one or more additional packets prompting acknowledgements, in order to ensure timely notification if the last packet of the transaction has been dropped. Systems and methods for potentially improving network latency, including retransmitting a dropped packet twice or more in order to avoid incurring additional delays due to a retransmitted packet being lost are also described.

Abstract: The solution described herein provides systems and methods for the interoperability of network processing programs that process network packets at different levels of the network stack. This solution bridges the communications of a network packet between a first network processing program operating at a first level of a network stack in an intermediary and a second network processing program operating at a second level of the network stack of the intermediary. The first network processing program may modify an incoming network packet so that the packet may traverse the network stack to an upper level of the stack to the second network processing program. After processing the network packet at the upper layers of the stack or by the second network processing program, the first network processing program modifies the network pack in order to transmit the packet to the intended destination while traversing the intermediary.

Abstract: One or more flow control modules, implemented on various types of network topologies, provide a number of functionalities for controlling the flow of IP packets (such as TCP/IP packets) over a network connection. The flow control modules may be implemented within a sender and/or receiver or may be deployed into a network as a separate device without requiring significant additional resources.

Abstract: Systems and methods for utilizing transaction boundary detection methods in queuing and retransmission decisions relating to network traffic are described. By detecting transaction boundaries and sizes, a client, server, or intermediary device may prioritize based on transaction sizes in queuing decisions, giving precedence to smaller transactions which may represent interactive and/or latency-sensitive traffic. Further, after detecting a transaction boundary, a device may retransmit one or more additional packets prompting acknowledgements, in order to ensure timely notification if the last packet of the transaction has been dropped. Systems and methods for potentially improving network latency, including retransmitting a dropped packet twice or more in order to avoid incurring additional delays due to a retransmitted packet being lost are also described.

Abstract: Systems and methods for utilizing transaction boundary detection methods in queuing and retransmission decisions relating to network traffic are described. By detecting transaction boundaries and sizes, a client, server, or intermediary device may prioritize based on transaction sizes in queuing decisions, giving precedence to smaller transactions which may represent interactive and/or latency-sensitive traffic. Further, after detecting a transaction boundary, a device may retransmit one or more additional packets prompting acknowledgements, in order to ensure timely notification if the last packet of the transaction has been dropped. Systems and methods for potentially improving network latency, including retransmitting a dropped packet twice or more in order to avoid incurring additional delays due to a retransmitted packet being lost are also described.

Abstract: One or more flow control modules, implemented on various types of network topologies, provide a number of functionalities for controlling the flow of IP packets (such as TCP/IP packets) over a network connection. The flow control modules may be implemented within a sender and/or receiver or may be deployed into a network as a separate device without requiring significant additional resources.

Abstract: Systems and methods of storing previously transmitted data and using it to reduce bandwidth usage and accelerate future communications are described. By using algorithms to identify long compression history matches, a network device may improve compression efficiently and speed. A network device may also use application specific parsing to improve the length and number of compression history matches. Further, by sharing compression histories, compression history indexes and caches across multiple devices, devices can utilize data previously transmitted to other devices to compress network traffic. Any combination of the systems and methods may be used to efficiently find long matches to stored data, synchronize the storage of previously sent data, and share previously sent data among one or more other devices.

Abstract: Systems and methods for utilizing transaction boundary detection methods in queuing and retransmission decisions relating to network traffic are described. By detecting transaction boundaries and sizes, a client, server, or intermediary device may prioritize based on transaction sizes in queuing decisions, giving precedence to smaller transactions which may represent interactive and/or latency-sensitive traffic. Further, after detecting a transaction boundary, a device may retransmit one or more additional packets prompting acknowledgements, in order to ensure timely notification if the last packet of the transaction has been dropped. Systems and methods for potentially improving network latency, including retransmitting a dropped packet twice or more in order to avoid incurring additional delays due to a retransmitted packet being lost are also described.

Abstract: Systems and methods for utilizing transaction boundary detection methods in queuing and retransmission decisions relating to network traffic are described. By detecting transaction boundaries and sizes, a client, server, or intermediary device may prioritize based on transaction sizes in queuing decisions, giving precedence to smaller transactions which may represent interactive and/or latency-sensitive traffic. Further, after detecting a transaction boundary, a device may retransmit one or more additional packets prompting acknowledgements, in order to ensure timely notification if the last packet of the transaction has been dropped. Systems and methods for potentially improving network latency, including retransmitting a dropped packet twice or more in order to avoid incurring additional delays due to a retransmitted packet being lost are also described.

Abstract: Systems and methods of storing previously transmitted data and using it to reduce bandwidth usage and accelerate future communications are described. By using algorithms to identify long compression history matches, a network device may improve compression efficiently and speed. A network device may also use application specific parsing to improve the length and number of compression history matches. Further, by sharing compression histories, compression history indexes and caches across multiple devices, devices can utilize data previously transmitted to other devices to compress network traffic. Any combination of the systems and methods may be used to efficiently find long matches to stored data, synchronize the storage of previously sent data, and share previously sent data among one or more other devices.

Abstract: A cloud storage appliance separates a point-in-time copy of a storage system into payload data chunks and metadata data chunks. The cloud storage appliance identifies a plurality of payload data chunks that have not been saved to a storage cloud. The cloud storage appliance compresses the plurality of payload data chunks. The cloud storage appliance groups the plurality of compressed payload data chunks into one or more cloud files, wherein each of the one or more cloud files is formatted for storage on the storage cloud. The cloud storage appliance then sends the one or more cloud files to the storage cloud.

Abstract: A cloud storage appliance generates a plurality of fingerprints of a data chunk, wherein each of the plurality of fingerprints is associated with a different region of the data chunks. The cloud storage appliance identifies a plurality of reference chunks based on the plurality of fingerprints, and generates a plurality of reference chunk pairs. The cloud storage appliance then selects a reference chunk pair based on a probability that an amount of regions of the data chunk match a reference chunk in the reference chunk pair. The selected reference chunk pair will be used to compress the data chunk.

Abstract: A cloud storage appliance receives one or more read requests for data stored in a storage cloud. The cloud storage appliance determines, for a time period, a total amount of bandwidth that will be used to retrieve the requested data from the storage cloud. The cloud storage appliance then determines an amount of remaining bandwidth for the time period. The cloud storage appliance retrieves the requested data from the storage cloud in the time period to satisfy the one or more read requests. The cloud storage appliance additionally retrieves a quantity of unrequested data from the storage cloud in the time period, wherein the quantity of retrieved unrequested data is based on the amount of remaining bandwidth for the time period.

Abstract: A computing device executing a reliable cloud storage module divides data into a first data block and a second data block. The computing device stores the first data block in a first storage cloud provided by a first storage service, and stores the second data block in a second storage cloud provided by a second storage service. The computing device thereafter receives a command to read the data. In response, the computing device retrieves the first data block from the first storage cloud and the second data block from the second storage cloud. The computing device then reproduces the original data from the first data block and the second data block.

Abstract: Systems and methods of storing previously transmitted data and using it to reduce bandwidth usage and accelerate future communications are described. By using algorithms to identify long compression history matches, a network device may improve compression efficiently and speed. A network device may also use application specific parsing to improve the length and number of compression history matches. Further, by sharing compression histories and compression history indexes across multiple devices, devices can utilize data previously transmitted to other devices to compress network traffic. Any combination of the systems and methods may be used to efficiently find long matches to stored data, synchronize the storage of previously sent data, and share previously sent data among one or more other devices.