Altera Corporation

Google Inc.

Cisco Technology, Inc.

Intel Corporation

Hui Liu

Gargi Adhav

Hongkun Yang

Hong Shi

Jiang Zhu

Vishal I Gupta

Yuanlin Xie

Tak Ming Pang

Kan Cai

Vikas Aggarwal

Tianqiong Luo

Xiaoyu Zhang

Arifur Rahman

Santosh Ghanshyam Pandey

Douglas Chan

Zhe Li

Shishir Kumar Agrawal

Steffen Julif Smolka

Leslie Choong

Alan Tang

Raj Yavatkar

Christopher F Lane

Kyung Suk Oh

Flavio Giovanni Bonomi

Kaushik Chanda

Tak Ming Francis Pang

Aspi Siganporia

Xiaohong Jiang

Karthik Chandrasekar

Sijia Chen

Lakshmi Sharma

Siping Tao

Jianming Huang

Manasa Chalasani

Sawyer Shan

Jiatong Zhou

Jian Liu

Anantanarayanan Govindarajan Iyengar

Yihan Zhang

Rob Enns

Analysis of a root cause of errors within a cloud network is manually complex and computationally intensive. Methods and systems are provided to determine a subset of elements of the cloud network to analyze, and to identify a subset of analyzers for analyzing the subset of elements to determine the root cause for the error. Thus, when configuring a network, a user may be provided with an identification of the root cause of error, enabling the user to quickly identify and correct the error.

Cloud network failure auto-correlator

A method for scalable event driven auto-diagnosis systems includes obtaining a data packet configured for transmission across a network from a source address to a destination address. The method includes obtaining a list of changes to the network. The method also includes analyzing, based on a network model, the data packet using a plurality of analyzers. The method includes correlating the list of changes to the network and the analysis of the data packet. The method further includes determining, based on the correlation between the list of changes to the network and the analysis of the data packet, a configuration status of the network. The method also includes reporting the configuration status to a user.

Scalable event driven auto-diagnosis system

A system for simulating network configurations includes data processing hardware and memory hardware in communication with the data processing hardware. The memory hardware stores instructions that when executed on the data processing hardware cause the data processing hardware to perform operations. The operation includes receiving one or more parameter changes for a production network model of a network. The operations also include generating a simulation network model including the one or more parameter changes. Another operation includes analyzing the simulated network flow within the simulation network model. The operations also include generating a report including an impact of the parameter changes on the network. The operations may also include receiving a production network log including a recorded workflow for the production network model and simulating the production workflow of the production network log within the simulation network model to generate a simulated network log.

Change impact simulation analysis

A method includes obtaining a stream of consecutive network configuration snapshots each including network configuration information. The method also includes determining that first network configuration information is the same as second network configuration information. After determining that the first network configuration information is the same as the second network configuration information, the method includes determining that the second network configuration information is not the same as third network configuration information. The method also includes determining a net change in reachability for a network based on a difference in packet reachability. The method also includes determining a policy violation based on the net change in reachability for the network and generating a reachability differentiation report including the policy violation. The method also includes reverting a configuration of the network to a state corresponding to the first network configuration information and implementing the network using the reverted configuration.

Network reachability impact analysis

A method for providing cloud network reachability analysis includes receiving a reachability query requesting a reachability status of a target including a packet header associated with a data packet. The packet header includes a source IP address and a destination IP address. The method also includes generating one or more simulated forwarding paths for the data packet based on the packet header using a data plane model. Each simulated forwarding path includes corresponding network configuration information. The method includes determining the reachability status of the target based on the one or more simulated forwarding paths and providing the determined reachability status and the one or more simulated forwarding paths to a user device associated with the reachability query which causes the user device to present the network configuration information for each simulated forwarding path.

Cloud network reachability analysis for virtual private clouds

A system for simulating network configurations includes data processing hardware and memory hardware in communication with the data processing hardware. The memory hardware stores instructions that when executed on the data processing hardware cause the data processing hardware to perform operations. The operations includes receiving one or more parameter changes for a production network model of a network. The operations also include generating a simulation network model including the one or more parameter changes. Another operation includes analyzing the simulated network flow within the simulation network model. The operations also include generating a report including an impact of the parameter changes on the network. The operations may also include receiving a production network log including a recorded workflow for the production network model and simulating the production workflow of the production network log within the simulation network model to generate a simulated network log.

A method includes receiving a plurality of network configuration snapshots for a network and determining whether a first data plane model protocol of a first snapshot is the same as a second data plane model protocol of a second snapshot consecutive with the first snapshot. When the snapshots are the same, the method includes determining whether a third snapshot is the same as the second snapshot. When the snapshots are different, the method includes selecting the first snapshot and the second snapshot. The method includes generating a first reachability graph representing packet reachability of the network for the first snapshot and generating a second reachability graph representing packet reachability of the network for the second snapshot. The method includes computing a reachability differentiation graph identifying a net change to reachability from the first reachability graph to the second reachability graph and generating a report of the net change to reachability.

A multiple memory access system is disclosed. The system includes a first die disposed on a package substrate. A second die is stacked above the first die. The first die, the second die and the package substrate form a first package. An IC is placed within a close proximity of the first package where the first die communicates with the second die at a first data rate while the first die communicates with the IC at a second data rate. The first data rate is higher than the second data rate. Methods of forming a multi-access memory system are also disclosed.

Multi-access memory system and a method to manufacture the system

A system includes an electronic device comprising one or more integrated circuit (IC) packages. The one or more IC packages include one or more IC chips and one or more thermoelectric power feedback systems. The one or more thermoelectric power feedback systems include one or more thermoelectric devices coupled to the one or more IC chips to generate power based on heat produced by the one or more IC chips. The one or more thermoelectric power feedback systems also include a power routing system that supplies the generated power to the one or more IC packages.

Package with thermoelectric power feedback loop

Circuitry having power lines with comparable path resistances may include input-output blocks in an integrated circuit (IC) that are coupled to respective sets of bumps on the IC. The circuitry may have a core region and a periphery region. Groups of input-output blocks may be formed in the periphery region. A first set of power lines in the circuitry extends from the core region to the first group of input-output blocks whereas a second set of power lines in the circuitry extends from the core region to the second group of input-output blocks. The first and second sets of power lines are physically separate from each other.

Power line layout in integrated circuits

In one embodiment, a method includes selecting at a network device, seed access points from a plurality of access points and assigning each of the seed access points to a wireless network controller. The seed access points join the assigned wireless network controllers before the remaining access points join the wireless network controllers. Each of the remaining access points is associated with one of the seed access points and joins the same wireless network controller as the seed access point. An apparatus and logic are also disclosed herein.

Wireless network controller load balancing

Techniques are presented herein to provide human mobility pattern based modeling and tracking of a group of network enabled user devices associated with the same person. An association is made, at a tracking device, between a plurality of user devices and a user. Location information for each of the plurality of user devices is derived through network activity of the plurality of user devices. Locations for the plurality of user devices are derived from the location information. One or more predetermined user mobility pattern rules are applied to the plurality of user devices. User anomalies are detected when the tracked locations indicate that one or more of the plurality of user devices has violated one or more the predetermined user mobility rules.

Human mobility rule-based device location tracking

In one embodiment, a method comprises determining, by an apparatus, a pattern of frequency band capabilities of wireless client devices relative to respective wireless Media Access Control (MAC) addresses of the wireless client devices, the determining based on a machine-based classification of the wireless client device capabilities relative to the respective MAC addresses; classifying a new wireless client device based on classifying the corresponding MAC address of the new client device relative to the pattern; and steering the new wireless client device to an available wireless band based on the classifying of the new wireless client device.

High-density wireless band steering based on wireless device address

Growing community of inventors

Pleasanton, CA, United States of America

Hui Liu