no code implementations • 21 Aug 2023 • Leila Ismail, Rajkumar Buyya
With the emergence of Cloud computing, Internet of Things-enabled Human-Computer Interfaces, Generative Artificial Intelligence, and high-accurate Machine and Deep-learning recognition and predictive models, along with the Post Covid-19 proliferation of social networking, and remote communications, the Metaverse gained a lot of popularity.
no code implementations • 15 Aug 2023 • Siddharth Agarwal, Maria A. Rodriguez, Rajkumar Buyya
It features serverless attributes by eliminating resource management responsibilities from developers and offers transparent and on-demand scalability of applications.
no code implementations • 11 Aug 2023 • Siddharth Agarwal, Maria A. Rodriguez, Rajkumar Buyya
Therefore, in this paper, we investigate a model-free Recurrent RL agent for function autoscaling and compare it against the model-free Proximal Policy Optimisation (PPO) algorithm.
no code implementations • 25 May 2023 • Sukhpal Singh Gill, Minxian Xu, Panos Patros, Huaming Wu, Rupinder Kaur, Kamalpreet Kaur, Stephanie Fuller, Manmeet Singh, Priyansh Arora, Ajith Kumar Parlikad, Vlado Stankovski, Ajith Abraham, Soumya K. Ghosh, Hanan Lutfiyya, Salil S. Kanhere, Rami Bahsoon, Omer Rana, Schahram Dustdar, Rizos Sakellariou, Steve Uhlig, Rajkumar Buyya
ChatGPT, an AI-based chatbot, was released to provide coherent and useful replies based on analysis of large volumes of data.
no code implementations • 8 Feb 2023 • Teena Arora, Venki Balasubramanian, Andrew Stranieri, Shenhan Mai, Rajkumar Buyya, Sardar Islam
This study aims to critically review the existing literature to identify the causes of these false-positive alarms and categorize the various interventions used in the literature to eliminate these causes.
no code implementations • 24 Oct 2021 • Mohammad Goudarzi, Marimuthu Palaniswami, Rajkumar Buyya
Fog/Edge computing is a novel computing paradigm supporting resource-constrained Internet of Things (IoT) devices by the placement of their tasks on the edge and/or cloud servers.
1 code implementation • 11 Oct 2021 • Shreshth Tuli, Sukhpal Singh Gill, Minxian Xu, Peter Garraghan, Rami Bahsoon, Schahram Dustdar, Rizos Sakellariou, Omer Rana, Rajkumar Buyya, Giuliano Casale, Nicholas R. Jennings
The worldwide adoption of cloud data centers (CDCs) has given rise to the ubiquitous demand for hosting application services on the cloud.
no code implementations • 6 Jul 2021 • Shashikant Ilager, Rajkumar Buyya
This paper investigates the existing resource management approaches in Cloud Data Centres for energy and thermal efficiency.
no code implementations • 24 Jun 2021 • Zhiheng Zhong, Minxian Xu, Maria Alejandra Rodriguez, Chengzhong Xu, Rajkumar Buyya
Containerization is a lightweight application virtualization technology, providing high environmental consistency, operating system distribution portability, and resource isolation.
no code implementations • 9 May 2021 • Tahseen Khan, Wenhong Tian, Rajkumar Buyya
In cloud computing, Infrastructure as a Service (IaaS) is one of the most important and rapidly growing fields.
no code implementations • 4 Apr 2021 • Shreya Ghosh, Anwesha Mukherjee, Soumya K Ghosh, Rajkumar Buyya
Several researches and evidence show the increasing likelihood of pandemics (large-scale outbreaks of infectious disease) which has far reaching sequels in all aspects of human lives ranging from rapid mortality rates to economic and social disruption across the world.
1 code implementation • 26 Feb 2021 • Sakib M Zobaed, Mohsen Amini Salehi, Rajkumar Buyya
We propose Smartness At Edge (SAED mechanism that offers intelligence in the form of semantic and personalized search at the edge tier while maintaining privacy of the search on the cloud tier.
no code implementations • 7 Nov 2020 • Shashikant Ilager, Kotagiri Ramamohanarao, Rajkumar Buyya
Specifically, we propose a gradient boosting machine learning model for temperature prediction.
1 code implementation • 1 Sep 2020 • Shreshth Tuli, Shashikant Ilager, Kotagiri Ramamohanarao, Rajkumar Buyya
The ubiquitous adoption of Internet-of-Things (IoT) based applications has resulted in the emergence of the Fog computing paradigm, which allows seamlessly harnessing both mobile-edge and cloud resources.
no code implementations • 9 Jun 2020 • Shashikant Ilager, Rajeev Muralidhar, Rajkumar Buyya
Contemporary Distributed Computing Systems (DCS) such as Cloud Data Centres are large scale, complex, heterogeneous, and distributed across multiple networks and geographical boundaries.
2 code implementations • 3 Oct 2019 • Shreshth Tuli, Shikhar Tuli, Udit Jain, Rajkumar Buyya
We demonstrate the effectiveness of APEX through a case study of overwriting surveillance videos by CryPy malware on Raspberry-Pi based Edge deployment and show 678% and 32% higher recovery than Ext4 and current state-of-the-art File Systems.
Operating Systems
2 code implementations • 29 Nov 2018 • Shreshth Tuli, Redowan Mahmud, Shikhar Tuli, Rajkumar Buyya
The requirement of supporting both latency sensitive and computing intensive Internet of Things (IoT) applications is consistently boosting the necessity for integrating Edge, Fog and Cloud infrastructure.
Distributed, Parallel, and Cluster Computing
no code implementations • 10 Oct 2018 • Muhammad H. Hilman, Maria A. Rodriguez, Rajkumar Buyya
In this paper, we propose an online incremental learning approach to predict the runtime of tasks in scientific workflows in clouds.