12 papers · ranked by Valyu relevance
Min Cui, Yipeng Wang
Workflow scheduling in cloud computing is attracting increasing attention. Cloud computing can assign tasks to available virtual machine resources in cloud data centers according to scheduling strategies, providing a powerful computing platform for the execution of workflow tasks. However, developing effective workflow…
Sonia Yassa, Rachid Chelouah, Hubert Kadima, Bertrand Granado
We address the problem of scheduling workflow applications on heterogeneous computing systems like cloud computing infrastructures. In general, the cloud workflow scheduling is a complex optimization problem which requires considering different criteria so as to meet a large number of QoS (Quality of Service)…
Samar Awad, Marwa Gamal, Khaled Abd El Salam, Rehab F. Abdel-Kader
With the rapid advancement of fog-cloud computing, task offloading and workflow scheduling have become pivotal in determining system performance and cost efficiency. To address the inherent complexity of this heterogeneous environment, a novel hybrid optimization strategy is introduced, integrating the Improved…
Wenzheng Li, Xiaoping Li, Long Chen, Mingjing Wang + 2 more
'Dionisis Kandris' 'Gianni D’Angelo'] With the continuous evolution of microservice architecture and containerization technology, the challenge of efficiently and reliably scheduling large-scale cloud services has become increasingly prominent. In this paper, we present a cost-optimized scheduling approach with…
Young-Jin Kim, Garam Kim, Sangil Kim, Dawoon Jung + 1 more
This study aims to improve the efficiency of task switching in hospital laboratories. In a laboratory, several medical technicians perform multiple tasks. Technicians are not aware of the marginal amount of time it takes to switch between tasks, and this accumulation of lost minutes can cause the technician to worry…
Yuxiang Liu, Xinzhong Xia, Jingyang Zhang, Kun Wang + 11 more
'Mengmeng Wu' 'Jinchao Shi' 'Chao Ma' 'Ying Liu' 'Boyang Hu' 'Xinying Wang' 'Bo Wang' 'Ruzhi Wang' 'Bing Wang' 'Zeashan Hameed Khan'] This study presents a systematic approach to enhance the efficiency of monocrystalline silicon photovoltaic module assembly lines using advanced simulation modeling. The research focuses…
Seungjun Lee, Daegun Yoon, Sangho Yeo, Sangyoon Oh + 4 more
As Artificial Intelligence (AI) is becoming ubiquitous in many applications, serverless computing is also emerging as a building block for developing cloud-based AI services. Serverless computing has received much interest because of its simplicity, scalability, and resource efficiency. However, due to the trade-off…
Zulfiqar Ahmad, Ali Imran Jehangiri, Mohammed Alaa Ala’anzy, Mohamed Othman + 2 more
'Mohamed Othman' 'Arif Iqbal Umar' 'Ching-Hsien Hsu'] Cloud computing is a fully fledged, matured and flexible computing paradigm that provides services to scientific and business applications in a subscription-based environment. Scientific applications such as Montage and CyberShake are organized scientific workflows…
Kuo-Chan Huang, Wei-Ya Wu, Feng-Jian Wang, Hsiao-Ching Liu + 1 more
'Chun-Hao Hung'] Parallel computation has been widely applied in a variety of large-scale scientific and engineering applications. Many studies indicate that exploiting both task and data parallelisms, i.e. mixed-parallel workflows, to solve large computational problems can get better efficacy compared with either pure…
Wen-Bin Zhao, Jun-Han Hu, Zi-Qiao Tang, Ameer Tamoor Khan + 2 more
'Bolin Liao'] As industrial informatization progresses, virtual simulation technologies are increasingly demonstrating their potential in industrial applications. These systems utilize various sensors to capture real-time factory data, which are then transmitted to servers via communication interfaces to construct…
Augusto Morales, Tomas Robles, Ramon Alcarria, Edwin Cedeño
The execution of scientific workflows is gaining importance as more computing resources are available in the form of grid environments. The Publish/Subscribe paradigm offers well-proven solutions for sustaining distributed scenarios while maintaining the high level of task decoupling required by scientific workflows.…
Andrei-Alin Corodescu, Nikolay Nikolov, Akif Quddus Khan, Ahmet Soylu + 4 more
'Ahmet Soylu' 'Mihhail Matskin' 'Amir H. Payberah' 'Dumitru Roman' 'Haipeng Dai'] The emergence of the edge computing paradigm has shifted data processing from centralised infrastructures to heterogeneous and geographically distributed infrastructures. Therefore, data processing solutions must consider data locality to…