Machine Learning based Multi-Classification Approach for Enhancing Malware Detection for Risk Mitigation
Keywords:
FaaS; Application development; Cloud Environment; Efficiency.Abstract
Function as a Service (FaaS) has transformed application development in cloud environments by simplifying the deployment process and letting developers concentrate exclusively on coding, barring the need to worry about infrastructure administration. By utilizing FaaS, developers have the option to decompose their applications into smaller, autonomous functions that are executed in response to events, leading to enhanced efficiency and scalability. The server less computing architecture obviates the necessity of providing and managing servers, enabling developers to expedite the delivery of applications in a more cost-efficient manner. The main aim of this study is to analyse the influence of FaaS on the efficiency of application development in cloud environments. The study employs a systematic process for reviewing the literature. This study performed a thorough review of 28 papers that were published from 2018 to 2024.This systematic literature analysis attempts to thoroughly assess the impact of FaaS, a famous model of server less computing, on the productivity of application development in cloud computing settings. The purpose of the review is to analyse and consolidate current research findings on the implementation and usage of FaaS. It aims to assess the impact of FaaS on several aspects such as the development process, performance metrics, operational requirements, scalability, reliability, and cost-effectiveness. This study demonstrates that FaaS greatly improves application development speed in cloud environments by providing a scalable, event-driven architecture, decreasing the burden of managing infrastructure, and enabling quick deployment of code snippets.
Downloads
References
A. Raza, I. Matta, N. Akhtar, V. Kalavri, and V. Isahagian, “SoK: Function-as-A-service: From an application developer’s perspective,” Journal of Systems Research, vol. 1, no. 1, 2021.
N. Ponomarev, A Proof of Concept for an AWS Lambda malicious code generator tool. 2022
A. Palade, A. Kazmi, and S. Clarke, “An evaluation of open source serverless computing frameworks support at the edge,” in 2019 IEEE World Congress on Services (SERVICES), 2019.
P. Seda, P. Masek, J. Sedova, M. Seda, J. Krejci, and J. Hosek, “Efficient Architecture Design for Software as a Service in Cloud Environments,” in 2018 10th International Congress on Ultra-Modern Telecommunications and Control Systems and Workshops (ICUMT), 2018.
M. Shahrad, J. Balkind, and D. Wentzlaff, “Architectural implications of function-as-a-service computing,” in Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, 2019.
P. Leitner, E. Wittern, J. Spillner, and W. Hummer, “A mixed-method empirical study of Function-as-a-Service software development in industrial practice,” J. Syst. Softw., vol. 149, pp. 340–359, 2019.
M. Zhang, Y. Zhu, C. Zhang, and J. Liu, “Video processing with server less computing: A measurement study,” in Proceedings of the 29th ACM workshop on network and operating systems support for digital audio and video, 2019, pp. 61–66.
H. Shafiei, A. Khonsari, and P. Mousavi, “Serverless computing: A survey of opportunities, challenges, and applications,” ACM Comput. Surv., vol. 54, no. 11s, pp. 1–32, 2022.
J. Scheuner and P. Leitner, “Function-as-a-Service performance evaluation: A multivocal literature review,” J. Syst. Softw., vol. 170, no. 110708, p. 110708, 2020.
H. Qiu et al., “Is function-as-a-service a good fit for latency-critical services?,” in Proceedings of the Seventh International Workshop on Serverless Computing (WoSC7) 2021, 2021.
A. Raza, I.Matta, N. Akhtar, V. Kalavari, & V. Isahagian. “Function-as-a-service: From an application developer’s perspective”. JSys, 1(1), 2021, 1-20.
A.-D. Lipitakis, G. Kousiouris, M. Nikolaidou, C. Bardaki, and D. Anagnostopoulos, “Empirical investigation of factors influencing function as a service performance in different cloud/edge system setups,” Simul. Model. Pract. Theory, vol. 128, no. 102808, p. 102808, 2023.
H. Tian, S. Li, A. Wang, W. Wang, T. Wu, and H. Yang, “Owl: Performance-aware scheduling for resource-efficient function-as-a-service cloud,” in Proceedings of the 13th Symposium on Cloud Computing, 2022, pp. 78–93.
M. Szalay, P. Matray, and L. Toka, “Real-time faas: Towards a latency bounded server less cloud,” IEEE Transactions on Cloud Computing, 2022.
O. Habala, M. Bobák, M. Šeleng, V. Tran, & L. Hluchý. “Architecture of a Function-as-a-Service Application”. Computing and Informatics, 42(4), 2021, 878-895.
R. Hartauer, J. Manner, and G. Wirtz, “Cloud function lifecycle considerations for portability in function as a service,” in Proceedings of the 12th International Conference on Cloud Computing and Services Science, 2022.
F. M. Monetti, M. Bertoni, and A. Maffei, “A Systematic Literature Review: Key Performance Indicatorson Feeding-as-a-Service,” in Swedish Production Symposium, 2024.
I. A. G. Rosa, Reducing execution time in faaS cloud platforms. 2022.
B. Pandya, D. Shah, A. Pourabdollah, and A. Lotfi, “Developing and comparing cloud-based fuzzy systems for monitoring health related signals in assistive environments,” in The15th International Conference on PErvasive Technologies Related to Assistive Environments, 2022.
N. Mahmoudi, & H. Khazaei, “Performance modeling of metric-based server less computing platforms”. IEEE transactions on cloud computing, 2022.
H. U. Khan, F. Ali, and S. Nazir, “Systematic analysis of software development in cloud computing perceptions,” J. Softw. (Malden), 2022.
A. Miran, “The distributed systems landscape in cloud computing is transforming significantly because of several developing trends. This review focuses on critical trends transforming distributed systems’ structure and operation in cloud environments,” Journal of Information Technology and Informatics, vol. 3, no. 1, 2024.
C. Lin, N. Mahmoudi, C. Fan, and H. Khazaei, “Fine-grained performance and cost modeling and optimization for FaaS applications,” IEEE Trans. Parallel Distrib. Syst., vol. 34, no. 1, pp. 180–194, 2023.
I. Zeebaree, “The Distributed Machine Learning in Cloud Computing and Web Technology: A Review of Scalability and Efficiency,” Journal of Information Technology and Informatics, vol. 3, no. 1, 2024.
K. Thanasegaran and M. F. Zolkipli, “Comparative Study on Cloud Computing Implementation and Security Challenges,” Borneo International Journal, vol. 2636, no. 3, pp. 14–26, 2022.
A. Egon, K. Potter, L. Doris, and R. Yamaganti, Evaluating the Development and Significance of Cloud Computing: Transforming the Digital Society. 2022.
L. F. Albuquerque, F. S. Ferraz, R. F. A. P. Oliveira, and S. Galdino, “Function-as-a-service x platform-as-a-service: Towards a comparative study on FaaS and PaaS,” in ICSEA, 2017, pp. 206–212.
S. Malla and K. Christensen, “HPC in the cloud: Performance comparison of function as a service (FaaS) vs infrastructure as a service (IaaS),” Internet Technol. Lett., vol. 3, no. 1, p. e137, 2020.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
All papers should be submitted electronically. All submitted manuscripts must be original work that is not under submission at another journal or under consideration for publication in another form, such as a monograph or chapter of a book. Authors of submitted papers are obligated not to submit their paper for publication elsewhere until an editorial decision is rendered on their submission. Further, authors of accepted papers are prohibited from publishing the results in other publications that appear before the paper is published in the Journal unless they receive approval for doing so from the Editor-In-Chief.
IJISAE open access articles are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. This license lets the audience to give appropriate credit, provide a link to the license, and indicate if changes were made and if they remix, transform, or build upon the material, they must distribute contributions under the same license as the original.
