Abstract: Distributed storage systems, devices, and associated methods of data replication are disclosed herein. In one embodiment, a server in a distributed storage system is configured to write, with an RDMA enabled NIC, a block of data from a memory of the server to a memory at another server via an RDMA network. Upon completion of writing the block of data to the another server, the server can also send metadata representing a memory location and a data size of the written block of data in the memory of the another server via the RDMA network. The sent metadata is to be written into a memory location containing data representing a memory descriptor that is a part of a data structure representing a pre-posted work request configured to write a copy of the block of data from the another server to an additional server via the RDMA network.

Abstract: Systems, methods, and computer-executable instructions for emulating a network are disclosed. A network topology and an indication of devices to emulate are received. A safe static boundary within the network that comprises each device in the indication of devices to emulate is determined. The safe static boundary is based upon the network topology. For each device to emulate, a unified container and a device container are instantiated. An emulated device is based on the unified container and the device container. Data links between the emulated devices are created based upon the network topology. An emulated network is created using the emulated devices.

Abstract: Distributed computing systems, devices, and associated methods of virtual RDMA switching are disclosed herein. In one embodiment, a method includes intercepting a command from an application in a container to establish an RDMA connection with a remote container on a virtual network. In response to the intercepted command, an RDMA endpoint at a physical NIC of a server is created. The method can also include intercepting another command to pair with a remote RDMA endpoint corresponding to the remote container. The intercepted another command contains data representing a routable network address of the remote RDMA endpoint in the RDMA computer network. Then, the RDMA endpoint created at the physical NIC of the server can be paired with the remote RDMA endpoint using the routable network address of the remote RDMA endpoint.

Abstract: Distributed storage systems, devices, and associated methods of data replication are disclosed herein. In one embodiment, a server in a distributed storage system is configured to write, with an RDMA enabled NIC, a block of data from a memory of the server to a memory at another server via an RDMA network. Upon completion of writing the block of data to the another server, the server can also send metadata representing a memory location and a data size of the written block of data in the memory of the another server via the RDMA network. The sent metadata is to be written into a memory location containing data representing a memory descriptor that is a part of a data structure representing a pre-posted work request configured to write a copy of the block of data from the another server to an additional server via the RDMA network.

Abstract: A microdevice for monitoring a target analyte is provided. The microdevice can include a field effect transistor comprising a substrate, a gate electrode, and a microfluidic channel including graphene. The microfluidic channel can be formed between drain electrodes and source electrodes on the substrate. The microdevice can also include at least one aptamer functionalized on a surface of the graphene. The at least one aptamer can be adapted for binding to the target analyte. Binding of the target analyte to the at least one aptamer can alter the conductance of the graphene.

Abstract: Systems, methods, and computer-executable instructions for emulating a network are disclosed. A network topology and an indication of devices to emulate are received. A safe static boundary within the network that comprises each device in the indication of devices to emulate is determined. The safe static boundary is based upon the network topology. For each device to emulate, a unified container and a device container are instantiated. An emulated device is based on the unified container and the device container. Data links between the emulated devices are created based upon the network topology. An emulated network is created using the emulated devices.

Abstract: Functionality is described herein for measuring the performance of a network. The functionality operates by generating a probe packet and injecting the probe packet into the network. The probe packet is configured, using one or more layers of encapsulation, to target a particular network component of interest in the network, or to target a particular collection of network components in the network. A switch to which the probe packet is addressed operates by: (a) generating mirrored information that is associated with the probe packet; (b) decapsulating the probe packet (with respect to its outermost encapsulation) to produce a new probe packet; and (c) passing the new probe packet to a downstream network component, in accordance with a destination address associated with the new probe packet. The functionality uses the mirrored information that has been collected in the above manner to detect various anomalies in the network.

Abstract: A microdevice for monitoring a target analyte is provided. The microdevice can include a field effect transistor comprising a substrate, a gate electrode, and a microfluidic channel including graphene. The microfluidic channel can be formed between drain electrodes and source electrodes on the substrate. The microdevice can also include at least one aptamer functionalized on a surface of the graphene. The at least one aptamer can be adapted for binding to the target analyte. Binding of the target analyte to the at least one aptamer can alter the conductance of the graphene.

Abstract: A receptor capable of binding to the target analyte can be used in monitoring a target analyte in a bodily fluid or a sample. A microdevice in accordance with the disclosed subject matter can include a substrate and a conductance elements with receptors grafted on the surface of the conductance element. A microdevice in accordance with the disclosed subject matter can also include a substrate, a first and second conductance elements, and synthetic polymers grafted on the surface of the first and second conductance elements. The first conductance element can be grafted with a sensing polymer that binds the target analyte, and the second conductance element can be grafted with a reference polymer that is insensitive to the target analyte. Differential measurement of the graphene conductance can allow determination of target analyte concentration in a bodily fluid.

Abstract: Functionality is described herein for measuring the performance of a network. The functionality operates by generating a probe packet and injecting the probe packet into the network. The probe packet is configured, using one or more layers of encapsulation, to target a particular network component of interest in the network, or to target a particular collection of network components in the network. A switch to which the probe packet is addressed operates by: (a) generating mirrored information that is associated with the probe packet; (b) decapsulating the probe packet (with respect to its outermost encapsulation) to produce a new probe packet; and (c) passing the new probe packet to a downstream network component, in accordance with a destination address associated with the new probe packet. The functionality uses the mirrored information that has been collected in the above manner to detect various anomalies in the network.

Abstract: A client-server social-network for providing automated clothing suggestions. Fashion interested users form social networks, upload records of their respective wardrobes and fashion preferences, and display their wardrobe items and outfits other members of the network, often displaying entire outfits using customizable virtual mannequins. The social network members can evaluate the fashion merits of both their outfits and their friend's outfits, and the system will further store data pertaining to the social network group's fashion assessments. The system may also make statistical inferences as to what types of clothing may be favored and disfavored by the user's social network group, and present these recommendations to the user. Other factors, such as weather, event type, and user's recent history of wearing various wardrobe items can also be considered.

Abstract: A client-server social-network for providing automated clothing suggestions. Fashion interested users form social networks, upload records of their respective wardrobes and fashion preferences, and display their wardrobe items and outfits other members of the network, often displaying entire outfits using customizable virtual mannequins. The social network members can evaluate the fashion merits of both their outfits and their friend's outfits, and the system will further store data pertaining to the social network group's fashion assessments. The system may also make statistical inferences as to what types of clothing may be favored and disfavored by the user's social network group, and present these recommendations to the user. Other factors, such as weather, event type, and user's recent history of wearing various wardrobe items can also be considered.

Abstract: A client-server social-network for providing automated clothing suggestions. Fashion interested users form social networks, upload records of their respective wardrobes and fashion preferences, and display their wardrobe items and outfits other members of the network, often displaying entire outfits using customizable virtual mannequins. The social network members can evaluate the fashion merits of both their outfits and their friend's outfits, and the system will further store data pertaining to the social network group's fashion assessments. The system may also make statistical inferences as to what types of clothing may be favored and disfavored by the user's social network group, and present these recommendations to the user. Other factors, such as weather, event type, and user's recent history of wearing various wardrobe items can also be considered.