Review
Computer Science, Information Systems
Sukhpal Singh Gill, Minxian Xu, Carlo Ottaviani, Panos Patros, Rami Bahsoon, Arash Shaghaghi, Muhammed Golec, Vlado Stankovski, Huaming Wu, Ajith Abraham, Manmeet Singh, Harshit Mehta, Soumya K. Ghosh, Thar Baker, Ajith Kumar Parlikad, Hanan Lutfiyya, Salil S. Kanhere, Rizos Sakellariou, Schahram Dustdar, Omer Rana, Ivona Brandic, Steve Uhlig
Summary: Autonomic computing investigates how systems can achieve specified control outcomes on their own. Integrating AI/ML to improve resource autonomy and performance remains a fundamental challenge. Experts in the field discuss current research, potential future directions, and challenges and opportunities for leveraging AI and ML in emerging computing paradigms.
INTERNET OF THINGS
(2022)
Review
Computer Science, Information Systems
Mueen Uddin, Anjum Khalique, Awais Khan Jumani, Syed Sajid Ullah, Saddam Hussain
Summary: Cloud computing is a flexible and efficient IT solution that utilizes virtualization and other technologies to provide better solutions for large-scale computational data centers. The primary challenge for cloud service providers is to maintain data security, privacy, and service availability, with blockchain solutions being proposed to address vulnerabilities. This paper also discusses the implementation challenges of blockchain in cloud infrastructures.
Article
Computer Science, Theory & Methods
Su Ozgur, Mehmet Orman
Summary: This study investigates the application of deep learning and machine learning algorithms in the analysis of biological data. By evaluating real and simulated genomic data, the researchers assess the prediction performance of different algorithms under different parameters. The findings provide guidance for genomic scientists on how to effectively utilize deep learning/machine learning methods for the analysis of human genomic data.
JOURNAL OF BIG DATA
(2023)
Article
Computer Science, Artificial Intelligence
Hailin Feng, Liang Qiao, Zhihan Lv
Summary: The research aims to reduce network resource pressure, improve service quality and optimize network performance in cloud centers and edge nodes. A edge-cloud collaboration framework based on IoT is designed, using raspberry pi cards as working nodes. The framework consists of three layers, including edge RP, monitoring & scheduling RP, and CC. The task delay in the edge-cloud collaboration mode is the least among different working modes, and real-time object detection can be achieved.
APPLIED SOFT COMPUTING
(2023)
Article
Biology
Hendrick Gao-Min Lim, Shih-Hsin Hsiao, Yuan-Chii Gladys Lee
Summary: Coronavirus disease 2019 (COVID-19), following the swine flu in 2009, remains a challenge in accurately identifying a large number of samples. By integrating next-generation sequencing and cloud computing, this study developed an optimized workflow using a specific identification algorithm. Results show higher accuracy in distinguishing between the two pandemics, especially when using indices that represent each dataset exclusively.
Article
Chemistry, Multidisciplinary
Wu-Chun Chung, Yun-He Wang
Summary: This paper investigates the synergy of network function virtualization (NFV) and cloud computing, and examines the performance impact of virtualization and the application of enhanced platform awareness (EPA) features through testing on the OpenStack cloud platform. Empirical results show that the tested cloud system meets the requirements of service level agreement and using solutions like OVS-DPDK and SR-IOV can improve performance.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Information Systems
Miguel Caballer, Marica Antonacci, Zdenek Sustr, Michele Perniola, German Molto
Summary: This paper introduces an architecture of open-source components that can deploy virtual elastic clusters across multiple cloud sites for large-scale computing. These hybrid virtual elastic clusters can be automatically deployed and configured, supporting automated tunneling of communications across cluster nodes.
JOURNAL OF GRID COMPUTING
(2021)
Article
Computer Science, Information Systems
Ron C. Chiang
Summary: This paper investigates performance interference in container clusters and proposes a new scheduler to improve performance. Experimental results demonstrate that the new scheduler can effectively improve the performance of distributed applications.
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS
(2023)
Article
Computer Science, Theory & Methods
Brice Ekane, Tu Dinh Ngoc, Boris Teabe, Daniel Hagimont, Noel De Palma
Summary: This paper introduces a mechanism called FlexVF, which dynamically allocates and switches between VFs and paravirtualized networking based on network activity monitoring, improving VM network performance by 75% without affecting network operation.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2022)
Review
Computer Science, Information Systems
Abhishek Hazra, Pradeep Rana, Mainak Adhikari, Tarachand Amgoth
Summary: In recent times, the Internet of Things (IoT) applications have generated a large volume of real-time data for decision making. To address the challenges of network congestion, data loss, latency, and energy consumption, fog computing emerges in a distributed environment that extends computation and storage facilities at the edge of the network. Compared to centralized cloud infrastructure, a distributed fog framework can support delay-sensitive IoT applications with minimum latency and energy consumption. Our survey covers the layered IoT architecture, evaluation metrics, and applications aspects of fog computing and its progress in the last four years.
COMPUTER SCIENCE REVIEW
(2023)
Article
Immunology
Lauren M. Walker, Andrea R. Shiakolas, Rohit Venkat, Zhaojing Ariel Liu, Steven Wall, Nagarajan Raju, Kelsey A. Pilewski, Ian Setliff, Amyn A. Murji, Rebecca Gillespie, Nigel A. Makoah, Masaru Kanekiyo, Mark Connors, Lynn Morris, Ivelin S. Georgiev
Summary: The development of novel technologies for discovering human monoclonal antibodies has been extremely valuable in combating infectious diseases. LIBRA-seq with epitope mapping is a next-generation sequencing technology that can determine residue-level epitopes for thousands of single B cells simultaneously, making it an efficient tool for high-throughput identification of antibodies against specific antigen epitopes.
FRONTIERS IN IMMUNOLOGY
(2022)
Review
Computer Science, Software Engineering
Rohit Verma, Dheeraj Rane, Ravi Shankar Jha, Wubshet Ibrahim
Summary: This article provides a comprehensive review of existing security ideas and architectures for the virtualized environment, as well as addressing some open issues in virtualization security. By discussing the characteristics and challenges of virtualized environments, it emphasizes the need for different security measures when protecting virtual systems.
SCIENTIFIC PROGRAMMING
(2022)
Article
Multidisciplinary Sciences
Jihun Kang, Heonchang Yu
Summary: This study proposes a GPGPU task scheduling scheme based on thread division processing to support even GPU usage among multiple VMs in an RPC-based GPU virtualization environment. By controlling the execution time of each thread group, the specific GPGPU task is prevented from monopolizing the GPU for a long time, and the efficiency of the proposed technique is verified through experiments in an environment where multiple VMs simultaneously perform GPGPU tasks.
Article
Chemistry, Multidisciplinary
Syed Asif Raza Shah, Ahmad Waqas, Moon-Hyun Kim, Tae-Hyung Kim, Heejun Yoon, Seo-Young Noh
Summary: Cloud computing manages system resources by providing virtual machines, with containerization growing rapidly as a popular method for handling scientific workloads. Using containers and virtual machines can improve the efficiency and throughput of scientific workloads.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Industrial
Jaehan Cho, Timothy DeStefano, Hanhin Kim, Inchul Kim, Jin Hyun Paik
Summary: The development and diffusion of next-generation digital technologies (NGDTs) have a significant impact on businesses, innovation, and society. This study examines the factors that drive NGDT implementation in South Korean firms and reveals that more than half of the firms use multiple NGDTs simultaneously. The research shows that there are complementarities among technologies that generate, facilitate, and demand large sums of data, such as big data, IoT, cloud computing, and AI, which are also important for innovative tools like 3D printing and robotics.
Article
Biochemistry & Molecular Biology
Yu-Jung Kim, Won Gi Yoo, Myoung-Ro Lee, Jung-Mi Kang, Byoung-Kuk Na, Shin-Hyeong Cho, Mi-Yeoun Park, Jung-Won Ju
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2017)
Article
Parasitology
Fuhong Dai, Won Gi Yoo, Ji-Yun Lee, Yanyan Lu, Jhang Ho Pak, Woon-Mok Sohn, Sung-Jong Hong
PARASITES & VECTORS
(2017)
Article
Parasitology
Fuhong Dai, Won Gi Yoo, Ji-Yun Lee, Yanyan Lu, Jhang Ho Pak, Woon-Mok Sohn, Sung-Jong Hong
PARASITOLOGY RESEARCH
(2017)
Article
Immunology
Jin-Hee Han, Jee-Sun Cho, Yang Cheng, Fauzi Muh, Won Gi Yoo, Bruce Russell, Francois Nosten, Sunghun Na, Kwon-Soo Ha, Won Sun Park, Seok-Ho Hong, Eun-Taek Han
INFECTION AND IMMUNITY
(2018)
Article
Parasitology
Myoung-Ro Lee, Won Gi Yoo, Yu Jung Kim, Eun Ju Chung, Shin-Hyeong Cho, Jung-Won Ju
PARASITOLOGY RESEARCH
(2018)
Article
Infectious Diseases
Yanyan Lu, Won Gi Yoo, Fuhong Dai, Ji-Yun Lee, Jhang Ho Pak, Woon-Mok Sohn, Sung-Jong Hong
PLOS NEGLECTED TROPICAL DISEASES
(2018)
Article
Parasitology
Won Gi Yoo, Sun-Min Kim, Eun Jeong Won, Ji-Yun Lee, Fuhong Dai, Ho Choon Woo, Ho-Woo Nam, Tae Im Kim, Jeong-Hee Han, Dongmi Kwak, Yun Sang Cho, Seung-Won Kang, Tong-Soo Kim, Xing-Quan Zhu, Chunren Wang, Heejeong Youn, Sung-Jong Hong
KOREAN JOURNAL OF PARASITOLOGY
(2018)
Article
Infectious Diseases
Shunyu Li, Won Gi Yoo, Jin-Ho Song, Tae Im Kim, Sung-Jong Hong
PLOS NEGLECTED TROPICAL DISEASES
(2018)
Article
Parasitology
Jhang Ho Pak, Ji-Yun Lee, Bo Young Jeon, Fuhong Dai, Won Gi Yoo, Sung-Jong Hong
KOREAN JOURNAL OF PARASITOLOGY
(2019)
Article
Infectious Diseases
Shunyu Li, Jin-Ho Song, Tae Im Kim, Won Gi Yoo, Moo-Ho Won, Fuhong Dai, Sung-Jong Hong
PLOS NEGLECTED TROPICAL DISEASES
(2019)
Article
Parasitology
Huong Giang Le, Jung-Mi Kang, Hojong Jun, Jinyoung Lee, Mya Moe, Thi Lam Thai, Khin Lin, Moe Kyaw Myint, Won Gi Yoo, Woon-Mok Sohn, Tong-Soo Kim, Byoung-Kuk Na
Article
Mi-ran Yun, Seung Jung Han, Won Gi Yoo, Taesoo Kwon, Sanghyun Lee, Jong Seok Lee, Dae-Won Kim
GENOME ANNOUNCEMENTS
(2016)
Article
Taesoo Kwon, Seung Jung Han, Won Gi Yoo, Mi-ran Yun, Sanghyun Lee, Jong Seok Lee, Dae-Won Kim
GENOME ANNOUNCEMENTS
(2016)
Article
Taesoo Kwon, Seung Jung Han, Won Gi Yoo, Mi-ran Yun, Sanghyun Lee, Jong Seok Lee, Dae-Won Kim
GENOME ANNOUNCEMENTS
(2016)
Article
Taesoo Kwon, Ji Woo Yang, Sanghyun Lee, Mi-ran Yun, Won Gi Yoo, Hwa Su Kim, Jeong-Ok Cha, Dae-Won Kim
GENOME ANNOUNCEMENTS
(2016)