Search Results - "Task computing"

Distributed Task Allocation to Enable Collaborative Autonomous Driving With Network Softwarization by Su, Zhou, Hui, Yilong, Luan, Tom H.

“…The autonomous vehicles (AVs), like that in knight rider, were completely a scientific fiction just a few years ago, but are now already practical with…”
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Multi-objective scheduling of many tasks in cloud platforms by Zhang, Fan, Cao, Junwei, Li, Keqin, Khan, Samee U., Hwang, Kai

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Asymptotic scheduling for many task computing in Big Data platforms by Sfrent, Andrei, Pop, Florin

“…Due to the advancement of technology the datasets that are being processed nowadays in modern computer clusters extend beyond the petabyte scale – the 4…”
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Exploiting Dynamic Resource Allocation for Efficient Parallel Data Processing in the Cloud by Warneke, D, Kao, O

“…In recent years ad hoc parallel data processing has emerged to be one of the killer applications for Infrastructure-as-a-Service (IaaS) clouds. Major Cloud…”
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SeeMe: An intelligent edge server selection method for location‐aware business task computing over IIoT by Dou, Wanchun, Liu, Bowen, Duan, Jirun, Dai, Fei, Qi, Lianyong, Xu, Xiaolong

“…In the past few years, latency‐sensitive task computing over the industrial internet of things (IIoT) has played a key role in an increasing number of…”
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Load-balanced and locality-aware scheduling for data-intensive workloads at extreme scales by Wang, Ke, Qiao, Kan, Sadooghi, Iman, Zhou, Xiaobing, Li, Tonglin, Lang, Michael, Raicu, Ioan

“…Summary Data‐driven programming models such as many‐task computing (MTC) have been prevalent for running data‐intensive scientific applications. MTC applies…”
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Latency-Driven Fog Cooperation Approach in Fog Radio Access Networks by Chiu, Te-Chuan, Pang, Ai-Chun, Chung, Wei-Ho, Zhang, Junshan

“…Fog computing, evolves from the cloud and migrates the computing to the edge, is a promising solution to meet the increasing demand for ultra-low latency…”
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In Cloud, Can Scientific Communities Benefit from the Economies of Scale? by Wang, Lei, Zhan, Jianfeng, Shi, Weisong, Liang, Yi

“…The basic idea behind cloud computing is that resource providers offer elastic resources to end users. In this paper, we intend to answer one key question to…”
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Three parallel task assignment problems with shared resources by Diabat, Ali, Dolgui, Alexandre, Janiak, Władysław, Kovalyov, Mikhail Y.

“…We study three optimization problems in which non-renewable resources are used to execute tasks in parallel. Problems differentiate by the assumptions of…”
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Towards effective scheduling policies for many‐task applications: Practice and experience based on HTCaaS by Kim, Jik‐Soo, Quang, Bui, Rho, Seungwoo, Kim, Seoyoung, Kim, Sangwan, Breton, Vincent, Hwang, Soonwook

“…Summary In this paper, we conduct a comparative study of relatively simple yet effective scheduling policies for many‐task applications where multiple users…”
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DALiuGE: A graph execution framework for harnessing the astronomical data deluge by Wu, C., Tobar, R., Vinsen, K., Wicenec, A., Pallot, D., Lao, B., Wang, R., An, T., Boulton, M., Cooper, I., Dodson, R., Dolensky, M., Mei, Y., Wang, F.

“…The Data Activated Liu1 Graph Engine – DALiuGE2– is an execution framework for processing large astronomical datasets at a scale required by the Square…”
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Achieving Fairness-Aware Two-Level Scheduling for Heterogeneous Distributed Systems by Hwang, Eunji, Kim, Jik-Soo, Choi, Young- ri

“…In a heterogeneous distributed system composed of various types of computing platforms such as supercomputers, grids, and clouds, a two-level scheduling…”
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Federated Learning for Energy-Efficient Task Computing in Wireless Networks by Wang, Sihua, Chen, Mingzhe, Saad, Walid, Yin, Changchuan

“…In this paper, the problem of minimizing energy consumption for task computation and transmission in a cellular network with mobile edge computing (MEC)…”
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The Use of Algorithmic Skeletons to Design Actor-Based Parallel Algorithms by Sergey Vostokin, Irina Bobyleva

“…The paper proposes a method for writing parallel algorithms. Our goal was to make a detailed description of concurrency while carrying no dependencies in…”
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Resource Allocation Policies for Loosely Coupled Applications in Heterogeneous Computing Systems by Hwang, Eunji, Kim, Suntae, Yoo, Tae-kyung, Kim, Jik-Soo, Hwang, Soonwook, Choi, Young-ri

“…High-Throughput Computing (HTC) and Many-Task Computing (MTC) paradigms employ loosely coupled applications which consist of a large number, from tens of…”
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Overcoming data locality: An in-memory runtime file system with symmetrical data distribution by Uta, Alexandru, Sandu, Andreea, Kielmann, Thilo

“…In many-task computing (MTC), applications such as scientific workflows or parameter sweeps communicate via intermediate files; application performance…”
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Coordinated cooperative task computing using crash-prone processors with unreliable multicast by Davtyan, Seda, De Prisco, Roberto, Georgiou, Chryssis, Hadjistasi, Theophanis, Schwarzmann, Alexander A.

“…This paper presents a new message-passing algorithm, called Do-UM, for distributed cooperative task computing in synchronous settings where processors may…”
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Efficient algorithms for frequent pattern mining in many-task computing environments by Lin, Kawuu W., Lo, Yu-Chin

“…The goal of data mining is to discover hidden useful information in large databases. Mining frequent patterns from transaction databases is an important…”
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Resource Profiling and Performance Modeling for Distributed Scientific Computing Environments by Hossain, Md Azam, Hwang, Soonwook, Kim, Jik-Soo

“…Scientific applications often require substantial amount of computing resources for running challenging jobs potentially consisting of many tasks from hundreds…”
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Dynamic DAG scheduling for many-task computing of distributed eco-hydrological model by Yue, Shasha, Ma, Yan, Chen, Lajiao, Wang, Yuzhu, Song, Weijing

“…The computing of distributed hydrological model at large scale is increasingly characterized by data intensive and computation intensive, especially for the…”
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