Results 21 to 30 of about 912,674 (282)
Auto-scaling Vision Transformers without Training
CoRR, 2022 This work targets automated designing and scaling of Vision Transformers (ViTs). The motivation comes from two pain spots: 1) the lack of efficient and principled methods for designing and scaling ViTs; 2) the tremendous computational cost of training ViT that is much heavier than its convolution counterpart.
Wuyang Chen 0001 +5 more
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Unusual Enhancements of NmF2 in Anyang Ionosonde Data [PDF]
Journal of Astronomy and Space Sciences, 2013 Sudden enhancements of daytime NmF2 appeared in Anyang ionosonde data during summer seasons in 2006-2007. In order to investigate the causes of this unusual enhancement, we compared Anyang NmF2’s with the total electron contents (GPS TECs) observed at ...
Jongyeon Yun +4 more
doaj +1 more source
Journal of Cloud Computing: Advances, Systems and Applications, 2018 In a cloud computing environment there are two types of cost associated with the auto-scaling systems: resource cost and Service Level Agreement (SLA) violation cost.
Ali Yadav Nikravesh +2 more
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The 3-Axis Scalable Service-Cloud Resource Modeling for Burst Prediction Under Smart Campus Scenario
IEEE Access, 2021 Internet of Things (IoT) enables smart campuses more convenient for cloud services. The availability of cloud resources to its users appears as a fundamental challenge. The existing research presents several auto-scaling techniques to scale the resources
Mirza Abdur Razzaq +6 more
doaj +1 more source
Auto-scaling Applications in Edge Computing [PDF]
Proceedings of the International Conference on Big Data and Internet of Thing, 2017 The perspective of online services such as Internet of Things (IoT) applications has impressively evolved over the last recent years as they are becoming more and more time-sensitive, maintained at decentralized locations and easily affected by the changing workload intensity at runtime.
Salman Taherizadeh, Vlado Stankovski
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IEEE Access, 2020 The wide adoption of microservices architectures has introduced an unprecedented granularisation of computing that requires the coordinated execution of multiple containers with diverse lifetimes and with potentially different auto-scaling requirements ...
Jose Herrera, German Molto
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Towards a Deadline-Based Simulation Experimentation Framework Using Micro-Services Auto-Scaling Approach [PDF]
, 2019 There is growing number of research efforts in developing auto-scaling algorithms and tools for cloud resources. Traditional performance metrics such as CPU, memory and bandwidth usage for scaling up or down resources are not sufficient for all ...
Gabor Terstyanszky +26 more
core +1 more source
Improved Q Network Auto-Scaling in Microservice Architecture
Applied Sciences, 2022 Microservice architecture has emerged as a powerful paradigm for cloud computing due to its high efficiency in infrastructure management as well as its capability of largescale user service.
Yeonggwang Kim +3 more
doaj +1 more source
Cloud auto-scaling with deadline and budget constraints [PDF]
2010 11th IEEE/ACM International Conference on Grid Computing, 2010 Clouds have become an attractive computing platform which offers on-demand computing power and storage capacity. Its dynamic scalability enables users to quickly scale up and scale down underlying infrastructure in response to business volume, performance desire and other dynamic behaviors.
Ming Mao, Jie Li, Marty Humphrey
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IEEE Access, 2020 Use of cloud resources has increased with the increasing trend of organizations and governments towards cloud adaptation. This increase in cloud resource usage, leads to enormous amounts of energy consumption by cloud data center servers.
Qazi Zia Ullah +2 more
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