Smart Volume Controller for Mobile Phones

Singh, Laxman; Chaudhary, Sunil Kumar; Verma, Yogesh Kumar; Yadav, Jay Kant Pratap Singh; Kumar, Rajeev

doi:10.35940/ijeat.b2313.129219

Cited by 5 publications

(1 citation statement)

References 3 publications

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“…The records of over 150 million people were compromised as a result. Moreover, Y2K and Y2K38 are popular errors related to formatting of calendar data in computers [7].…”

Section: Introductionmentioning

confidence: 99%

Modeling and Evaluation of a Data Center Sovereignty with Software Failures

Janardhanan

Mas-Machuca

2022

2022 6th International Conference on System Reliability and Safety (ICSRS)

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Technology Sovereignty is the capacity of a state to provide a technology to its constituents by developing or outsourcing the technology without causing a dangerous dependency on a particular contributor. There are several laws to monitor and govern networks that ensure the privacy and security of the consumers. However, they do not control the infrastructure or hardware dependency associated with these networks. A robust end-to-end network requires reliable hardware, software, and network architecture to handle multiple failures, increased users, and increased traffic demands. To handle multiple failures efficiently, there must be little to no dependency on the manufacturers involved. Therefore, the robustness of a network requires an adequate degree of sovereignty. In this study, Data Center Networks (DCN) are considered to understand the impact of choosing the hardware and software manufacturers appropriately on the DCN robustness. The unavailability of a component from a manufacturer or the presence of a software bug in the switches of a DCN can affect several flows, leading to multiple failures and huge losses of data. Thus, it is rational to find the best combination of manufacturers to create a network with the least dependency on the manufacturer(s). In this research, the sovereignty of a DCN is evaluated by considering different multiple-failure scenarios based on hardware and software manufacturers' reliability. Design guidelines for DCN operators are provided based on the findings of the analyses.

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“…The records of over 150 million people were compromised as a result. Moreover, Y2K and Y2K38 are popular errors related to formatting of calendar data in computers [7].…”

Section: Introductionmentioning

confidence: 99%