Sowmya K. B.
R V College of Engineering

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Characterization and hierarchical static timing analysis of mixed-signal design Sowmya K. B.; Thanushree M.
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 10, No 1: March 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v10.i1.pp18-24

Abstract

As the technology grows, the tendency to increase the data rate also increases. Clocks with higher frequencies have to be generated to meet the increased data rate. Any mismatch between the clock rate and data rate will lead to the capture of the wrong data. Hence performing timing analysis for any design to validate the capture of correct data plays a major role in any System on chip. This paper explains the procedure followed to perform timing analysis for any mixed-signal design.
Systematising troubleshooting of disputes in network Sowmya K. B.; Thejaswini A.
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 10, No 1: March 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v10.i1.pp32-36

Abstract

With the growing network size, virtualization everywhere, it is getting more difficult to configure and manage the network devices. Software Defined Networking (SDN) is a way to address these problems. Application Centric Infrastructure (ACI) is the Cisco’s solution to SDN, with centralized automation and policy-driven application profiles. If there is any bug in the network or problem with the expected functionality of the network, ACI cases are opened in the Technical Assistance Centre (TAC) for troubleshooting the issue. Engineers currently troubleshoot ACI cases manually by using Command Line Interface (CLI) and trace for different events triggered by the policy pushes by logs generated at different stages of the ACI and from different servers responsible for this, which indeed is a very tedious, time consuming task and is prone to manual errors. This paper describes a way to automate the entire ACI troubleshooting process with the user-friendly GUI which can show the entire information needed for troubleshooting by extracting relevant information at every layer. By making use of FSM models the proposed solution can be extended to other areas which involve log analysis using CLI to extract relevant information and is not just limited to ACI.