Accenture Global Solutions Limited

Mayur Kolhe

Sanjay Tiwari

Mathangi Sandilya

Badarayan Panigrahi

Shantha Maheswari

Indranil Choudhuri

Chetan Thukral

Anshul Kapoor

Carl Matthew Dukatz

Gaurav Khanduri

Surya Kumar Ivg

Kung-Chuan Hsu

Mohit Mahajan

Shihab Ponnampadikkal Abdul Rahiman

Juhi Mandot

Suraj Singh

Subrat Kumar Pradhan

Binit Agrawal

Amol Nandkishor Joshi

Trupti Meghshyam Shirodkar

Dan Malagari

Nishant Shyam Patriker

Sanmati Jain

Arti Kumari

Sandeep Bhatnagar

Neha Shishoo

A device may receive source code and a database to be migrated to a cloud computing environment, and may perform a first stage analysis of the source code to generate a first report. The device may cause a second stage analysis of the source code to be performed based on the first report and to generate refactored and rewritten code, and may perform a third stage analysis of the database to generate a second report. The device may cause a fourth stage analysis of the database to be performed and to generate a refactored and rewritten database, and may perform the first stage analysis of the refactored and rewritten code and the third stage analysis of the refactored and rewritten database to generate a final report. The device may generate a migration strategy based on the final report and may perform actions based on the migration strategy.

Utilizing multiple analyses to migrate an application to a cloud computing environment

Methods, systems, and apparatus for root cause analysis in a communication network. In one aspect, a method includes providing a quantum computer with data representing a topology of the communication network, the topology comprising a graph of vertices representing network devices and edges representing connections between network devices; receiving, from the quantum computer, data representing a first subset of network devices, wherein the first subset comprises a dominating set of vertices or a vertex cover for the graph; monitoring network devices in the first subset to generate alarm data representing triggered network device alarms; providing the alarm data to a quantum computer; receiving, from the quantum computer, data representing a second subset of network devices, wherein the second subset comprises a set cover for the alarm data and the network devices in the second subset comprise diagnosed sources of failures in the communication network.

Quantum computing in root cause analysis of 5G and subsequent generations of communication networks

A device may receive site data identifying a site associated with a telecommunications network. The device may receive RF drive test data identifying signal strengths of the site at different location points. The device may receive network KPI data and throughput data associated with the site. The device may assign unique identifiers to the different location points. The device may determine, based on the site data, the RF drive test data, the network KPI data, and the unique identifiers, at least one of reference signal strength data for each of the different location points or downlink channel data for each of the different location points. The device may determine degraded signal strength data identifying a degraded signal strength of each of the different location points, if the site is decommissioned and based on the at least one of the reference signal strength data or the downlink channel data.

Analyzing a communication network device, based on coverage analyses associated with decommissioning the communication network device, to determine next actions for 5G rollout

A device may receive site data identifying a site associated with a telecommunications network. The device may determine handover data identifying handovers of user equipment associated with the site. The device may receive traffic data identifying traffic generated by the user equipment associated with the site. The device may calculate, based on the site data, the handover data, and the traffic data, a plurality of key performance indicators (KPIs) for the site, for a predefined time period, and if the site is decommissioned, wherein the plurality of KPIs include one or more of: resource block utilization data, determining KPI satisfaction data identifying whether one or more of the plurality of KPIs satisfy one or more of a plurality of KPI thresholds, and performing one or more actions based on the KPI satisfaction data.

Analyzing a communication network device, based on capacity analyses associated with decommissioning the communication network device, to determine next actions

The present disclosure provides a framework for quantitatively testing network services and their supporting APIs. To facilitate the testing, a testing script may be generated. The testing script may be parameterized with input data derived from a historical database. The testing script may be executed and responses received from the network during testing may be analyzed to determine metrics associated with execution of the testing script. The metrics may indicate successfully tested conditions, unsuccessfully tested conditions, untested conditions, other testing metrics, or a combination thereof. After the initial testing cycle a determination is made regarding whether a stop condition has been satisfied and if it has not been satisfied, another testing cycle may be executed. The next testing cycle may utilize a different set of input data that may be dissimilar to the input data used in the previous testing cycle so that additional conditions and functionality may be tested.

Quantitative network testing framework for 5G and subsequent generation networks

A device identifies a subset of network performance indicator (NPI) values that measure network performance during peak usage time periods, selects particular NPI values associated with the peak usage time periods, based on one or more of the subset of NPI values satisfying particular threshold network performance values, and compares the particular NPI values with threshold upper and lower bound network performance values to determine weighted scores for the particular NPI values. The device determines, by processing the weighted scores, a weighted mean score that represents a mean of the weighted scores, and determines, based on an analysis of the particular NPI values and the weighted mean score, an overall site score that represents a viability level in upgrading the cell site. The device generates, based on the overall site score, a plan to upgrade one or more network technologies associated with the cell site.

Identifying a cell site as a target for utilizing 5th generation (5G) network technologies and upgrading the cell site to implement the 5G network technologies

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Bengaluru, India

Mayur Kolhe