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Laila Bouhouch, Mostapha Zbakh and Claude Tadonki
The development of big data has generated data-intensive tasks that are usually time-consuming, with a high demand on cloud data centers for hosting big data applications. It becomes necessary to consider both data and task management to find the optimal...
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Nusrat Afrin, Jason Brown and Jamil Y. Khan
The prominence of Machine-to-Machine (M2M) communications in the future wide area communication networks place various challenges to the cellular technologies such as the Long Term Evolution (LTE) standard, owing to the large number of M2M devices genera...
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Jae-Kook Lee, Min-Woo Kwon, Do-Sik An, Junweon Yoon, Taeyoung Hong, Joon Woo, Sung-Jun Kim and Guohua Li
As the demand for high-performance computing (HPC) resources has increased in the field of computational science, an inevitable consideration is service availability in large cluster systems such as supercomputers. In particular, the factor that most aff...
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Mohd Hafizuddin Bin Kamilin, Mohd Anuaruddin Bin Ahmadon and Shingo Yamaguchi
In this journal, we proposed a novel method of using multi-task learning to switch the scheduling algorithm. With multi-task learning to change the scheduling algorithm inside the scheduling framework, the scheduling framework can create a scheduler with...
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KyungWoon Cho and Hyokyung Bahn
GPGPU (General-Purpose Graphics Processing Unit) consists of hardware resources that can execute tens of thousands of threads simultaneously. However, in reality, the parallelism is limited as resource allocation is performed by the base unit called thre...
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JunWeon Yoon, TaeYoung Hong, ChanYeol Park, Seo-Young Noh and HeonChang Yu
High-performance computing (HPC) uses many distributed computing resources to solve large computational science problems through parallel computation. Such an approach can reduce overall job execution time and increase the capacity of solving large-scale...
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Apolinar Velarde Martinez
The problem of scheduling parallel tasks graphs (PTGs) represented by directed acyclic graphs (DAGs) in heterogeneous distributed computing systems (HDCSs) is considered an nondeterministic polynomial time (NP) problem due to the diversity of characteris...
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Yang Hu, Cees de Laat and Zhiming Zhao
As microservice architecture is becoming more popular than ever, developers intend to transform traditional monolithic applications into service-based applications (composed by a number of services). To deploy a service-based application in clouds, besid...
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Samah Alshathri, Bogdan Ghita and Nathan Clarke
The cloud-computing concept has emerged as a powerful mechanism for data storage by providing a suitable platform for data centers. Recent studies show that the energy consumption of cloud computing systems is a key issue. Therefore, we should reduce the...
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Michele Weiland,Adrian Jackson,Nick Johnson,Mark Parsons
Pág. 79 - 94
Byte-addressable storage class memory (SCM) is an upcoming technology that will transform the memory and storage hierarchy of HPC systems by dramatically reducing the latency gap between DRAM and persistent storage. In this paper, we discuss general SCM ...
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