There are kinds of Internet applications such as VoIP, online gaming and video Conferencing which need quality of service guarantees making the performance analysis critical, and the traffic of such applications usual...
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5G NR has been deployed in most of the countries and covers three major use case scenarios, viz. enhanced mobile broadband (eMBB), ultra-reliable low latency communication (URLLC), and massive machine type of communic...
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Many high-end computing (HEC) centers and commercial data centers adopt parallel file systems (PFSs) as their storage solutions. As the number of applications concurrently accessing a PFS grows in both quantity and va...
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ISBN:
(纸本)9781457704284
Many high-end computing (HEC) centers and commercial data centers adopt parallel file systems (PFSs) as their storage solutions. As the number of applications concurrently accessing a PFS grows in both quantity and variety, it is expected that scheduling algorithms for data access will play an increasingly important role in PFS service quality. However, it is costly and disruptive to thoroughly research scheduling mechanisms in deployed peta- or exascale systems, compounded by the complexity in scheduling policy implementation and experimental data gathering. While a few parallel file system simulation frameworks have been proposed (e.g., [1,2]), their goals have not been in the scheduling algorithm evaluation. In this paper, we propose PFSsim, a simulator designed for the purpose of evaluating I/O scheduling algorithms in PFS. PFSsim is a trace-driven simulator based on the network simulation framework OMNeT++ [23] and the disk system simulator DiskSim [21]. A flexible scheduler module is provided for scheduling algorithm deployment, and the system characteristics are highly configurable. We have simulated PVFS2 on PFSsim, and the experimental results show that PFSsim is capable of simulating the system characteristics and showing the performance of the scheduling algorithms.
Monitoring network status such as end-to-end delay, jitter, and available bandwidth is important to support QoS-sensitive applications and timely detection of network anomalies like denial of service attacks. For this...
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The CPU scheduler, primarily responsible for scheduling algorithms, is a crucial component of multitasking operating systems. Many simulation systems have been developed to help study and analyze scheduling algorithms...
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Resource scheduling has always been a hot and difficult problem in systems engineering and management at home and abroad, and it is also very important in the research of satellite earth station system. Due to the lim...
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We presented a novel platform dedicated to stream processing that improved resource efficiency by sharing resources among applications. The platform utilized latency-aware schedulers to handle stream applications with...
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Through the advancement of the Internet of Things (IoT), the development of devices for task automation, data extraction, and communication between devices has become increasingly easy. But as a result, tens of zettab...
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This research presents the performance of Round Robin, Proportional Fair and Maximum Throughput scheduling techniques for 5G NSA mobile networks. The tests run considering a variable and increasing number of users usi...
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This work presents a comparative analysis of fog and edge computing scheduling algorithms, focusing on their impact on IoT workload optimization. The analysis considers task allocation, load balancing, energy efficien...
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