Abstract: Continuity-based data protection may be implemented by systems and methods described herein for collecting a set of data that corresponds to a graphical representation of a computing environment, determining a plurality of subsets of the set of data, wherein a subset of the plurality has mathematical continuity, compressing at least the subset of the plurality, thereby generating one or more compressed subsets, and providing the one or more compressed subset to another computing entity, the other computing entity being able to determine the graphical representation of the computing environment, wherein the graphical representation is presentable to a user of the other computing entity.

Abstract: Application data may be transmitted while oscillating a transmission parameter. A metric associated with a complementary network property is analyzed to identify a transition point between a stochastic error state and a deterministic error state of the complementary network property. Additional network properties or states may be inferred from the transition point, and the transmission of the application data may be optimized based on the inferred additional properties or states.

Abstract: Data is transmitted in accordance with a parameter. For a metric associated with transmission of the data, a response to a stochastic error state of the metric includes making a first adjustment to the parameter in a first direction. A response to a deterministic error state of the metric includes making a second adjustment to the parameter in a second direction, where the second direction is in opposition to the first direction. A transition point between the two states is identified, and a response to the identification is made.

Abstract: Techniques for oscillatory complementary network property calibration of a network connection can be implemented by measuring a first network property (e.g., latency or bandwidth output) as a function of bandwidth input and performing statistical analysis to determine a correlation. If a non-zero correlation coefficient is detected, a second network property complementary to the first network property can be measured to determine a first value of the second network property. Likewise, the second network property can be measured as a function of bandwidth input to determine a second correlation which, if positive, may indicate how to determine a second value of the first network property. The first value and the second value can be utilized to determine a third value of a third network property (e.g., network latency and network capacity utilized to determine bandwidth-delay product).

Abstract: Systems and methods for dynamic representation of a remote computing environment which can be implemented in the context of a virtual desktop infrastructure. A server hosting a computing environment may communicate system state to a remote client via a network. A representation of the computing environment may be generated by obtaining graphical data of a virtual computing environment, sub sampling the graphical data to determine a plurality of regions, determining a manner to prioritize the plurality of regions, and causing, based on the prioritization, an approximate representation of the graphical data to be transmitted to a second system.

Abstract: Application data may be transmitted while oscillating a transmission parameter. A metric associated with a complementary network property is analyzed to identify a transition point between a stochastic error state and a deterministic error state of the complementary network property. Additional network properties or states may be inferred from the transition point, and the transmission of the application data may be optimized based on the inferred additional properties or states.

Abstract: Data is transmitted in accordance with a parameter. For a metric associated with transmission of the data, a response to a stochastic error state of the metric includes making a first adjustment to the parameter in a first direction. A response to a deterministic error state of the metric includes making a second adjustment to the parameter in a second direction, where the second direction is in opposition to the first direction. A transition point between the two states is identified, and a response to the identification is made.

Abstract: Techniques for oscillatory complementary network property calibration of a network connection can be implemented by measuring a first network property (e.g., latency or bandwidth output) as a function of bandwidth input and performing statistical analysis to determine a correlation. If a non-zero correlation coefficient is detected, a second network property complementary to the first network property can be measured to determine a first value of the second network property. Likewise, the second network property can be measured as a function of bandwidth input to determine a second correlation which, if positive, may indicate how to determine a second value of the first network property. The first value and the second value can be utilized to determine a third value of a third network property (e.g., network latency and network capacity utilized to determine bandwidth-delay product).