Enhancing cloud service efficiency through ant colony optimization with multi-objective task scheduling
*Prabh Deep SinghCorresponding authorssingh.prabhdeep@gmail.comDepartment of Computer Science & EngineeringGraphic Era (Deemed to be University)Dehradun, Uttrakhand, IndiaView full profile → , Kiran Deep Singhkdkirandeep@gmail.comDepartment of Computer Science & EngineeringChitkara University Institute of Engineering and TechnologyChitkara UniversityPunjab, IndiaView full profile → , Harsh Tanejaharshtaneja88@gmail.comDepartment of Computer Science & EngineeringGraphic Era (Deemed to be University)Dehradun, Uttrakhand, IndiaView full profile → , Rohan Vermarohanvermahnb@gmail.comDepartment of Computer Science & EngineeringGraphic Era (Deemed to be University)Dehradun, Uttrakhand, IndiaView full profile →
* Corresponding author · click or hover a name for details
- Published Online:
- 17 Mar 2024
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JIOS-1559
- Pages:
- 351–360
Abstract
Keywords
Subject Classifications
References
[1] Reddy GN, Kumar SP. MACO-MOTS: modified ant colony optimization for multi objective task scheduling in Cloud environment. Int J Intell Syst Appl. 11(1) : 73 (2019).
[2] Amer DA, Attiya G, Ziedan I. An efficient multi-objective scheduling algorithm based on spider monkey and ant colony optimization in cloud computing. Cluster Comput. 1–21 (2023).
[4] Singh KD, Singh P, Tripathi V, Khullar V. A Novel and Secure Framework to Detect Unauthorized Access to an Optical Fog-Cloud Computing Network. In: 2022 Seventh International Conference on Parallel, Distributed and Grid Computing (PDGC). p. 618–22 (2022).
[5] Singh KD. Particle Swarm Optimization assisted Support Vector Machine based Diagnostic System for Dengue prediction at the early stage. In: Proceedings - 2021 3rd International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2021. p. 844–8 (2021).
[6] Senthil Kumar AM, Venkatesan M. Multi-objective task scheduling using hybrid genetic-ant colony optimization algorithm in cloud environment. Wirel Pers Commun. 107 : 1835–48 (2019).
[7] Singh KD, Singh P, Kang SS. Ensembled-based Credit Card Fraud Detection in Online Transactions. In: AIP Conference Proceedings. p. 50009 (2022).
[8] Rathore PS, Chatterjee JM, Kumar A, Sujatha R. Energy-efficient cluster head selection through relay approach for WSN. J Supercomput.
77 : 7649–75 (2021).
[9] Matta P, Pant B, Tiwari UK. DDITA: A naive security model for IoT resource security. Adv Intell Syst Comput. 670 : 199–209 (2019).
[10] Islam MSU, Kumar A, Hu YC. Context-aware scheduling in Fog computing: A survey, taxonomy, challenges and future directions. J Netw Comput Appl. 180 : 103008 (2021).
[11] Tiwari P, Pant B, Elarabawy MM, Abd-Elnaby M, Mohd N, Dhiman G, et al. CNN Based Multiclass Brain Tumor Detection Using Medical Imaging. Comput Intell Neurosci [Internet]. 2022 [cited 2022 Dec 9];2022:1830010. Available from: https://www.hindawi.com/journals/cin/2022/1830010/.
[12] Singh KD, Singh P, Chhabra R, Kaur G, Bansal A, Tripathi V. Cyber-Physical Systems for Smart City Applications: A Comparative Study. In: 2023 International Conference on Advancement in Computation \& Computer Technologies (InCACCT). p. 871–6 (2023).
[13] Taneja H, Kaur S. Fake feedback detection to enhance trust in cloud using supervised machine learning techniques. In: Proceedings of Data Analytics and Management: ICDAM 2021, Volume 2. p. 789–96 (2022).
[14] Taneja H, Kaur S. Reputation based novel trust management framework with enhanced availability for cloud. J Parallel Distrib Comput. 178 : 43–55 (2023).
[15] Kruekaew B, Kimpan W. Multi-objective task scheduling optimization for load balancing in cloud computing environment using hybrid artificial bee colony algorithm with reinforcement learning. IEEE Access. 10 : 17803–18 (2022).
[16] Elsedimy E, Algarni F. MOTS-ACO: An improved ant colony optimiser for multi-objective task scheduling optimisation problem in cloud data centres. IET Networks. 11(2) : 43–57 (2022).
[17] Dhiman P, Kukreja V, Manoharan P, Kaur A, Kamruzzaman MM, Dhaou I Ben, et al. A novel deep learning model for detection of severity level of the disease in citrus fruits. Electronics. 11(3) : 495 (2022).
[18] Singh PD, Singh KD. Security and Privacy in Fog/Cloud-based IoT Systems for AI and Robotics. EAI Endorsed Trans AI Robot. 2 (2023).
[19] Singh P, Singh KD. Fog-Centric Intelligent Surveillance System: A Novel Approach for Effective and Efficient Surveillance. In: 2023 International Conference on Advancement in Computation \& Computer Technologies (InCACCT). p. 762–6 (2023).
[20] Singh KD. Securing of Cloud Infrastructure using Enterprise Honeypot. In: Proceedings - 2021 3rd International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2021. p. 1388–93 (2021).
[21] Singh P, Singh KD, Tripathi V, Chaudhari V. Use of Ensemble Based Approach to Predict Health Insurance Premium at Early Stage. Proc Int Conf Comput Intell Sustain Eng Solut CISES 2022 [Internet]. 2022 [cited 2022 Dec 2];566–9. Available from: https://ieeexplore.ieee.org/abstract/document/9844398/.
[22] Singh KD, Singh PD, Bansal A, Kaur G, Khullar V, Tripathi V. Exploratory Data Analysis and Customer Churn Prediction for the Telecommunication Industry. In: 2023 3rd International Conference on Advances in Computing, Communication, Embedded and Secure Systems (ACCESS). p. 197–201 (2023).
[23] S. Tiwari, S. Kumar, and K. Guleria, “Outbreak Trends of Coronavirus Disease-2019 in India: A Prediction,” Disaster Med. Public Health Prep., vol. 14, no. 5, pp. e33–e38 (2020), doi: 10.1017/dmp.2020.115.
