9 papers · ranked by Valyu relevance
Yongcheng Yang, Yifei Huang, Xiaohuan Qin, Shenglian Lu + 3 more
'Yanlin Geng' 'Youlong Wu' 'Ling Liu'] Coded distributed computing (CDC) is a powerful approach to reduce the communication overhead in distributed computing frameworks by utilizing coding techniques. In this paper, we focus on the CDC problem in $(H,L)$-combination networks, where H APs act as intermediate pivots and…
Weiyu Fu, Lixia Wang
Considering that in the process of job scheduling, the cluster load should be prebalanced rather than remedied when the load is seriously unbalanced; therefore, in this paper, the task scheduling flow of the Hadoop cluster is analyzed deeply. On the Hadoop platform, a self-dividing algorithm is proposed for load…
Chao Li, Wennan Chai, Xiaohui Yang, Qingdang Li + 4 more
'Yang Gao' 'Allison Kealy' 'Jacek Paziewski'] The advancement of smartphones with multiple built-in sensors facilitates the development of crowdsourcing-based indoor map construction and localization. This paper proposes a crowdsourcing-based indoor semantic map construction and localization method using graph…
Faten K. Karim, Sara Ghorashi, Salem Alkhalaf, Saadia H. A. Hamza + 3 more
'Anis Ben Ishak' 'S. Abdel-Khalek' 'Saeed Mian Qaisar'] As a new computing resources distribution platform, cloud technology greatly influenced society with the conception of on-demand resource usage through virtualization technology. Virtualization technology allows physical resource usage in a way that will enable…
Said Nabi, Masroor Ahmad, Muhammad Ibrahim, Habib Hamam + 1 more
'Subhas Mukhopadhyay'] Cloud computing has emerged as the most favorable computing platform for researchers and industry. The load balanced task scheduling has emerged as an important and challenging research problem in the Cloud computing. Swarm intelligence-based meta-heuristic algorithms are considered more suitable…
Yukiko Katayama, Takuji Tachibana, Jihoon Lee, Daeyoub Kim + 1 more
'Wonjong Noh'] For 5G and future Internet, in this paper, we propose a task allocation method for future Internet application to reduce the total latency in a mobile edge computing (MEC) platform with three types of servers: a dedicated MEC server, a shared MEC server, and a cloud server. For this platform, we first…
R. Elumalai, K. Ravi, P. V. Elumalai, M. Sreenivasa Reddy + 2 more
'E. Prakash' 'Prabhakar Sekar'] The study intends to calibrate the compression ignition (CI) engine split injection parameters as efficiently. The goal of the study is to find the best split injection parameters for a dual-fuel engine that runs on 40% ammonia and 60% biodiesel at 80% load and a constant speed of 1500…
Dujing Chen, Yanyan Zhang, Ben Niu, Shuang Geng + 1 more
With the increase in cloud users and internet of things (IoT) applications, advanced task scheduling (TS) methods are required to reasonably schedule tasks in cloud computing. This study proposes a diversity-aware marine predators algorithm (DAMPA) for solving TS in cloud computing. In DAMPA, to enhance the premature…
Muhammad Saad, Rabia Noor Enam, Rehan Qureshi
As the volume and velocity of Big Data continue to grow, traditional cloud computing approaches struggle to meet the demands of real-time processing and low latency. Fog computing, with its distributed network of edge devices, emerges as a compelling solution. However, efficient task scheduling in fog computing remains…