A Review of the Android Operating System's Evolution

Jasdeep Singh

doi:10.55524/

Authors

Jasdeep Singh Assistant Professor, Department of Computer Science & Engineering, RIMT University, Mandi Gobindgarh, Punjab, India Author

DOI:

https://doi.org/10.55524/

Keywords:

Android, Dalvik Machine, Google, Kernel, Linux, Operating System, Smartphone

Abstract

Traditionally, telephones were only used for making telephone conversations; however, with the introduction of the artificial intelligence gadget, the savvy handset has evolved into a minimal hand-held computer device. The system software for cellular telephones, that empowered smartphones toward becoming technological advancements with their own computation and storage, sparked this innovation. The mobile phone currently offers a lot of functionality, including calling, messaging, audiovisual streaming, blogs, online media apps, document editors, data files, and a range of online play. The OS for these portable gadgets include Apple's iOS, Microsoft's Windows, and Google's Android. Android has the biggest industry presence amid competitors in terms of devices shipped and customers in the android mobile os system industry. The Android OS is centred on the Code base, and apps are controlled by a programming interface that coordinates the actions of modules and the Dalvik hypervisors, that builds and combines all standard java assets as an unified package. Numerous compute nodes can run at the given moment on a physical unit, each handling different workloads or replicas of a program. The Android OS provides resource administration and control activities to running mobile applications. Each new edition of Android introduced innovative functionality and enhanced the customer journey. The paper looks at how the Android has evolved with every latest incarnation.

Downloads

Download data is not yet available.

References

EVOLUTION OF ANDROID OPERATING SYSTEM: A REVIEW. Asia Pacific J Contemp Educ Commun Technol. 2018; [2]Mercaldo F, Di Sorbo A, Visaggio CA, Cimitile A, Martinelli F. An exploratory study on the evolution of Android malware quality. J Softw Evol Process. 2018;

IDC [Internet]. [cited 2018 Sep 2]. Available from: https://www.idc.com/

Solanki MS, Sharma DKP, Goswami L, Sikka R, Anand V. Automatic Identification of Temples in Digital Images through Scale Invariant Feature Transform. In: 2020 International Conference on Computer Science, Engineering and Applications, ICCSEA 2020. 2020.

Goswami L, Kaushik MK, Sikka R, Anand V, Prasad Sharma K, Singh Solanki M. IOT Based Fault Detection of Underground Cables through Node MCU Module. In: 2020 International Conference on Computer Science, Engineering and Applications, ICCSEA 2020. 2020.

Sharma K, Goswami L. RFID based Smart Railway Pantograph Control in a Different Phase of Power Line. In: Proceedings of the 2nd International Conference on Inventive Research in Computing Applications, ICIRCA 2020. 2020.

Khatri M, Kumar A. Stability Inspection of Isolated Hydro Power Plant with Cuttlefish Algorithm. In: 2020 International Conference on Decision Aid Sciences and Application, DASA 2020. 2020.

Ghai W, Kumar S, Athavale VA. Using gaussian mixtures on triphone acoustic modelling-based punjabi continuous speech recognition. In: Advances in Intelligent Systems and Computing. 2021.

Misra A, Dubey A. Android Architecture. In: Android Security. 2013.

ANAND. Android: the Architecture and Application Environment. Int J Gen Eng Technol. 2017;

Dongre NM. A Research On Android Technology With New Version Naugat(7.0,7.1). IOSR J Comput Eng. 2017;

Google Firebase. Android version history. In: Wikipedia, the free encyclopedia. 2018.

Kumar Gola K, Chaurasia N, Gupta B, Singh Niranjan D. Sea lion optimization algorithm based node deployment strategy in underwater acoustic sensor network. Int J Commun Syst. 2021;

Gupta B, Gola KK, Dhingra M. HEPSO: an efficient sensor node redeployment strategy based on hybrid optimization algorithm in

UWASN. Wirel Networks. 2021;

Gupta N, Jain A, Vaisla KS, Kumar A, Kumar R. Performance analysis of DSDV and OLSR wireless sensor network routing protocols using FPGA hardware and machine learning. Multimed Tools Appl. 2021;

Gupta N, Vaisla KS, Jain A, Kumar A, Kumar R. Performance Analysis of AODV Routing for Wireless Sensor Network in FPGA Hardware. Comput Syst Sci Eng. 2021;

Kumar A, Jain A. Image smog restoration using oblique gradient profile prior and energy minimization. Front Comput Sci. 2021; [18]Wikipedia. Android version history. Wikipedia, the free encyclopedia. 2017.

Hirawat A, Taterh S, Sharma TK. A dynamic window-size based segmentation technique to detect driver entry and exit from a car. J King Saud Univ - Comput Inf Sci. 2021;

Sharma TK. Enhanced butterfly optimization algorithm for reliability optimization problems. J Ambient Intell Humaniz Comput. 2021;

Zhu D, Fan Z, Pang N. A Dynamic Supervisory Mechanism of Process Behaviors Based on Dalvik VM. In: Proceedings - 2015 International Conference on Computational Intelligence and Communication Networks, CICN 2015. 2016.

Latifa ER, Ahmed EKM. Android: Deep look into Dalvik VM. In: Proceedings of the 2015 5th World Congress on Information and Communication Technologies, WICT 2015. 2016.

Gupta H, Varshney H, Sharma TK, Pachauri N, Verma OP. Comparative performance analysis of quantum machine learning with deep learning for diabetes prediction. Complex Intell Syst. 2021;

Gupta H, Kumar S, Yadav D, Verma OP, Sharma TK, Ahn CW, et al. Data analytics and mathematical modeling for simulating the dynamics of COVID-19 epidemic—a case study of India. Electron. 2021;

Khanna R, Verma S, Biswas R, Singh JB. Implementation of branch delay in Superscalar processors by reducing branch penalties. In: 2010 IEEE 2nd International Advance Computing Conference, IACC 2010. 2010.