New Jersey Institute of Technology

Other

Huawei Technologies Co., Limited

Future Wei Technologies, Inc.

Alcatel Lucent

Crrc Zhuzhou Electric Locomotive Research Institute Co., Ltd.

Nirwan Ansari

Tao Han

Yan Zhang

Amey Bhaskar Shevtekar

Jingjing Zhang

Xiang Sun

Fahd Alharbi

Hong Heather Yu

Mingquan Wu

Yun-Qing Shi

Roberto Rojas-Cessa

Si Yin

Chun-Hao Lo

Andrey Belenky

Yuanqiu Luo

Ashok N Rudrapatna

Shupeng Li

Mengchu Zhou

Jianghua Feng

Somenath Sengupta

Gaohua Chen

Jun Tang

Zhicheng Ni

Tairan Zhang

Zhi-Cheng Ni

Dajun Wang

Nan Wang

Mina Taheri

Fahd Aharbi

Christopher Andrew Neylan

Qiang Fan

Zhen Qin

Ehsan Haghani

Zhiqiang Gao

Gang Cheng

Kai Xu

A method and a system for rail transit communication. The method includes: selecting a second target FSO transceiver from the FSO transceivers that are currently located within a signal coverage of a target FSO base station, in response to detecting that a first target free-space-optics (FSO) transceiver moves out of the signal coverage of the target FSO base station when data communication between the target FSO base station and the target user terminal is performed via the first target FSO transceiver, where the target FSO base station is one of the FSO base stations located on the rail; and maintaining the data communication between the target FSO base station and the target user terminal, by using the second target FSO transceiver. Handover among the base stations is reduced for user equipment, data communication rate is increased, and communication experience of passengers can be improved.

Rail transit communication method and system

An embodiment of the disclosure provides a method, performed by a resource management server, for mapping a plurality of unassigned virtual machines (VMs) to a plurality of physical machines (PMs). The resource management server includes a non-transient computer readable medium and a processor to execute computer executable instructions stored on the non-transient computer readable medium, so that when the instructions are executed, the resource management server performs the method of: (a) obtaining a total resource demand for each dimension requested by the plurality of unassigned VMs; (b) activating at least one PM in the plurality of PMs to create a set of activated PMs; (c) assigning at least one unassigned VM to the set of activated PMs, wherein a VM assigned to a PM has an equal or lower resource demand for each dimension compared to a remaining resource capacity for each respective dimension of the PM; (d) determining whether all unassigned VMs have been assigned to a PM in the set of activated PMs; and (e) conditionally activating one or more PMs when all unassigned VMs have not been assigned to a PM in the set of activated PMs.

Virtual machine placement in a heterogeneous data center

Radio-over-fiber (ROF) antenna extender systems and methods are disclosed for high speed train communications which utilize cellular networks as backhauls to avoid the expensive capital expenditure involved in providing broadband Internet services in high speed trains. Employing ROF technology, on-roof antennas are deployed in strategic configurations to address the drawbacks of utilizing cellar networks as backhauls. The systems and methods provide broadband Internet service to a train and include a plurality of antennas mounted to an exterior of the train and operable to communicate with a cellular network, wireless access points mounted to the train, and a control system operably coupled to the plurality of antennas and to the wireless access points, wherein the control system is operable to receive and process data received from the plurality of antennas and the one wireless access points.

Radio over fiber antenna extender systems and methods for high speed trains

An embodiment of the disclosure provides a method, performed by a resource management server, for resource allocation in a virtualization environment. The resource management server includes a non-transient computer readable medium and a processor to execute computer executable instructions stored on the non-transient computer readable medium, so that when the instructions are executed, the resource management server performs the method of: (a) determining an average service rate for each virtual machine (VM) pool running an application; (b) predicting a workload of the application; (c) determining a set of collaborative VMs to serve the application in order to satisfy a service level requirement, the set of collaborative VMs comprising a number of selected VMs from the VM pools running the application; and (d) distributing incoming application requests of the application among the VMs in the set of collaborative VMs.

Virtual machine resource utilization in a data center

Technologies are generally described to allocation of virtual machines to physical machines through dominant resource assisted heuristics. According to some examples, multiple virtual machines (VMs) may be clustered to two or more unallocated VM clusters according to a dominant resource requirement associated with each of the VMs. The VMs may be sorted according to a size attribute associated with the dominant resource requirement. Multiple physical machines (PMs) may be sorted according to a power efficiency attribute associated with each of the PMs. One of the PMs may be selected from an ordered list of PMs based on the power efficiency attribute. One of the VMs may be selected from another ordered list of PMs based on the size attribute. The selected VM may then be allocated to the selected PM.

Allocation of virtual machines to physical machines through dominant resource assisted heuristics

Technologies are generally described for addressing the bidirectional power flow conflict incurred by power surpluses produced from a number of households' on-location energy generation units (e.g., solar) in power distribution networks. A micro grid composed of households in a neighborhood may be considered as a generating- or consuming-resource entity at different time periods. The approach may be formulated as a power balance computation such that power balance may not be achieved within the micro grid itself, and therefore power sharing (or redispatching) among micro grids is operated, before requesting power from the macro grid, i.e., the fuel-based conventional grid. Enhancement of renewable energy utilization and reduction in the amount of data packet traffic in exchange of information and control messages via uplink and downlink transmissions throughout an overlay multi-tier communications network infrastructure may be taken into consideration in example implementations.

Decentralized controls and communications for autonomous distribution networks in smart grid

Technologies are generally described to manage bandwidth efficiency and fairness in cloud computing. According to some examples, bottleneck links may be determined in a network connecting communication device pairs. A first bandwidth allocation may be determined of a first subset of the communication device pairs communicating through the bottleneck links. A second bandwidth allocation may be determined of a second subset of the communication device pairs unable to communicate through the bottleneck links. Then, the first bandwidth may be adjusted based on an analysis of the first bandwidth, the second bandwidth, a first weight attribute associated with the first subset and a second weight attribute associated with the second subset.

Management of bandwidth efficiency and fairness in cloud computing

Technologies are generally described to provide a congestion management system for a datacenter network. According to some examples, the congestion management system may detach management of congestion at the datacenter network from switches of the datacenter network. The congestion management system may also incorporate a distributed detection mechanism that is configured to detect a potential congestion culprit. Furthermore, detachment of the management of the congestion may allow the datacenter network to incorporate switches with limited traffic management capabilities. The switches may monitor a local congestion status and forward the congestion status to a centralized congestion controller that manages the congestion. The congestion management system may also be deployed for a cross-layer congestion management scheme.

Congestion management for datacenter network

Technologies are generally described for reducing overall power consumption of a wireless network such as a cellular network through spectrum trading. According to some examples, spectrum may be shared between primary base stations (PBSs) and secondary base stations (SBSs) to reduce a power consumption of PBSs and increase the spectral efficiency of cellular networks. A PBS may share a portion of its licensed bandwidth with SBSs, to provide data services to primary users (PUs) within SBSs' coverage area. Due to their proximity to the PUs, the SBSs may satisfy the PUs' quality of service (QoS) requirements by utilizing a portion of the allocated bandwidth. Thus, PBSs may reduce their power consumption by offloading some of the PUs to SBSs. Because the SBSs typically use lower power compared to the PBS, the overall power consumption of the network may be reduced as well.

Trading spectrum for energy savings in green cognitive cellular networks

A method for delivering packets in a wireless communications system includes determining a cause of loss for a previously transmitted packet based on a packet acknowledgement corresponding to the previously transmitted packet, the packet acknowledgement including at least one of a wireless loss indicator and a congestion warning indicator for the wireless communications system. The method also includes adjusting a transmission parameter in a packet transmission protocol according to the cause of loss, and retransmitting the previously transmitted packet.

System and method for transmission control protocol service delivery in wireless communications systems

Technologies are generally described for reducing the from-power-grid energy consumption of a wireless network such as a cellular network over a period of time through cell size adaptations. According to some examples, cell sizes for the base stations may be optimized by decomposing the cell size optimization into two approaches: a multi-stage energy allocation approach and an energy consumption minimization approach. By implementing an energy allocation policy based on available energy type (e.g., from-power-grid or renewable) and an approximation technique for the energy consumption minimization, cell size optimization for each base station may be achieved resulting in network-wide enhancement of renewable energy usage vs. from-power-grid energy usage.

Cell size optimization for energy savings in cellular networks with hybrid energy supplies

Techniques for transferring data among nodes on a network are disclosed. Some example methods include a downloader-initiated random linear network coding algorithm. A downloading node may be aware of the chunks of original data held by neighboring nodes, and the downloading node can request linear combinations of chunks from the neighboring nodes that are linearly independent of any linear combinations of chunks already held by the downloading node.

Transferring data among nodes on a network

Technologies are generally described to provide a distributed scheme that enables a Green-energy Aware and the Latency Aware (GALA) user-base station (BS) associations in wireless networks, whose BSs are powered by both on-grid energy and green energy. According to some examples, the GALA approach may consider traffic delivery latency and green energy generation rate in BSs to determine the user-BS association. The GALA approach may converge to a particular solution, which may reduce the summation of the weighted latency ratios of BSs, while enabling a trade-off between the on-grid power consumption and the average traffic delivery latency.

Association through green energy and latency awareness in wireless networks

Technologies are generally described for alleviating solar power congestion in a distribution grid via smart metering communications. According to some examples, a power network system supervised by utility operators may monitor and control grid-tied power generation modules associated with consumers to ensure the distribution grid is stable in terms of network capacity limit. A communications infrastructure including home area networks (HANs) and neighborhood area networks (NANs) between smart meters and utility control centers may facilitate power congestion management. Utility control centers (UCCs) in cooperation with smart meters or energy management units (EMUs) may selectively disconnect consumer power generation units to maintain the system reliability.

Alleviating solar energy congestion in the distribution grid via smart metering communications

Technologies are generally described for an enhanced Quantized Congestion Notification (QCN) congestion control approach, referred to as Fair QCN (FQCN) for enhancing fairness of multiple flows sharing link capacity in a high bandwidth, low latency data center network. QCN messages may be fed back to flow sources (e.g., servers) which send packets with a sending rate over their share of the bottleneck link capacity. By enabling the flow sources to regulate their data traffic based on the QCN messages from a congestion control component, the queue length at the bottleneck link may converge to an equilibrium queue length rapidly and TCP throughput performance may be enhanced substantially in a TCP incast circumstance.

Growing community of inventors

Montville, NJ, United States of America

Nirwan Ansari