A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Filters
GPUNFV
2017
Proceedings of the First Asia-Pacific Workshop on Networking - APNet'17
Preserved Fulltext
This paper presents GPUNFV, a high-performance NFV system providing ow-level micro services for stateful service chains with Graphics Processing Unit (GPU) acceleration. GPUNFV exploits the massively-parallel processing power of GPU to maximize the throughput of the NFV system. Combined with the customized ow handler, GPUNFV achieves a much better throughput than the existing NFV systems. With a carefully designed GPU-based virtualized network function framework, GPUNFV is able to e ciently
doi:10.1145/3106989.3106990
dblp:conf/apnet/YiDW17
fatcat:dfgiu3f5ljdvfihyzvhw3z7k5y
more »
... ort both stateful and stateless network functions. We have implemented a number of GPU-based network functions and a preliminary GPUNFV system to demonstrate the exibility and potential of our design.
NFVactor: A Resilient NFV System using the Distributed Actor Model
[article]
2018
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Duan, X. Yi, S. Zhao, C. Wu and H. Cui are with the Department of Computer Science, The University of Hong Kong, email: (jpduan, xdyi, sxzhao, cwu, heming@cs.hku.hk). F. Le is with the IBM T. J. ...
arXiv:1805.06160v1
fatcat:q34fneusfjc4beouejwym5qfze
Responsive multipath TCP in SDN-based datacenters
2015
2015 IEEE International Conference on Communications (ICC)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
A basic need in datacenter networks is to provide high throughput for large flows such as the massive shuffle traffic flows in a MapReduce application. Multipath TCP (MPTCP) has been investigated as an effective approach toward this goal, by spreading one TCP flow onto multiple paths. However, the current MPTCP implementation has two major limitations: (1) a fixed number of subflows are used without reacting to the actual traffic condition; (2) the routing of subflows of a multipath TCP
doi:10.1109/icc.2015.7249165
dblp:conf/icc/DuanWW15
fatcat:rnrw2eepjbbonbycguivp6jg2e
more »
... on relies heavily on the ECMP-based random hashing. The former may lead to a waste of both the server and network resources, while the latter can cause throughput degradation when multiple subflows collide on the same path. This paper proposes a responsive MPTCP system to resolve the two limitations simultaneously. Our system employs a centralized controller for intelligent subflow route calculation and a monitor running on each server for actively adjusting the number of subflows. Working in synergy, the two modules enable MPTCP flows to respond to the traffic conditions and pursue high throughput on the fly, at very low computation and messaging overhead. NS3-based experiments show that our system achieves satisfactory throughput with less resource overhead, or better throughput at similar amounts of overhead, as compared to common alternatives.
Dynamic Scaling of Virtualized, Distributed Service Chains: A Case Study of IMS
[article]
2017
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The emerging paradigm of network function virtualization advocates deploying virtualized network functions (VNF) on standard virtualization platforms for significant cost reduction and management flexibility. There have been system designs for managing dynamic deployment and scaling of VNF service chains within one cloud data center. Many real-world network services involve geo-distributed service chains, with prominent examples of mobile core networks and IMSs (IP Multimedia Subsystems).
arXiv:1702.02853v1
fatcat:dkdi4bavonakjm4wgmip6sutha
more »
... lizing these service chains requires efficient coordination of VNF deployment across different geo-distributed data centers over time, calling for new management system design. This paper designs a dynamic scaling system for geo-distributed VNF service chains, using the case of an IMS. IMSs are widely used subsystems for delivering multimedia services among mobile users in a 3G/4G network, whose virtualization has been broadly advocated in the industry for reducing cost, improving network usage efficiency and enabling dynamic network topology reconfiguration for performance optimization. Our scaling system design caters to key control-plane and data-plane service chains in an IMS, combining proactive and reactive approaches for timely, cost-effective scaling of the service chains. We evaluate our system design using real-world experiments on both emulated platforms and geo-distributed clouds.
CPT: Competence-progressive Training Strategy for Few-shot Node Classification
[article]
2024
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2024; you can also visit the original URL.
The file type is application/pdf.
Other Versions
Graph Neural Networks (GNNs) have made significant advancements in node classification, but their success relies on sufficient labeled nodes per class in the training data. Real-world graph data often exhibits a long-tail distribution with sparse labels, emphasizing the importance of GNNs' ability in few-shot node classification, which entails categorizing nodes with limited data. Traditional episodic meta-learning approaches have shown promise in this domain, but they face an inherent
arXiv:2402.00450v2
fatcat:3qn4ze5vlngcbi5zzubxolcu7i
more »
... n: it might lead the model to converge to suboptimal solutions because of random and uniform task assignment, ignoring task difficulty levels. This could lead the meta-learner to face complex tasks too soon, hindering proper learning. Ideally, the meta-learner should start with simple concepts and advance to more complex ones, like human learning. So, we introduce CPT, a novel two-stage curriculum learning method that aligns task difficulty with the meta-learner's progressive competence, enhancing overall performance. Specifically, in CPT's initial stage, the focus is on simpler tasks, fostering foundational skills for engaging with complex tasks later. Importantly, the second stage dynamically adjusts task difficulty based on the meta-learner's growing competence, aiming for optimal knowledge acquisition. Extensive experiments on popular node classification datasets demonstrate significant improvements of our strategy over existing methods.
Dynamic Scaling of Virtualized, Distributed Service Chains: A Case Study of IMS
2017
IEEE Journal on Selected Areas in Communications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The emerging paradigm of network function virtualization advocates deploying virtualized network functions (VNFs) on standard virtualization platforms for significant cost reduction and management flexibility. There have been system designs for managing dynamic deployment and scaling of VNF service chains within one cloud datacenter. Many real-world network services involve geo-distributed service chains, with prominent examples of mobile core networks and IP Multimedia Subsystems (IMSs)).
doi:10.1109/jsac.2017.2760188
fatcat:uhciotxu6zazledxj7w4wyx5by
more »
... alizing these service chains requires efficient coordination of dynamic VNF deployment across geo-distributed datacenters, calling for a new management system. This paper designs a dynamic scaling system for geo-distributed VNF service chains, using the case of an IMS. IMSs are widely used subsystems for delivering multimedia services among mobile users in a 3G/4G network, whose virtualization has been broadly advocated in the industry for reducing cost, improving network usage efficiency and enabling dynamic network topology reconfiguration for performance optimization. Our scaling system design caters to key control-plane and data-plane service chains in an IMS, combining proactive and reactive approaches for timely, costeffective scaling of the service chains. The design principles are applicable to scaling of other systems with multiple related service chains. We evaluate our system using real-world experiments on both an emulation platform and a geo-distributed public cloud.
Task Placement and Resource Allocation for Edge Machine Learning: A GNN-based Multi-Agent Reinforcement Learning Paradigm
[article]
2023
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2023; you can also visit the original URL.
The file type is application/pdf.
Other Versions
Machine learning (ML) tasks are one of the major workloads in today's edge computing networks. Existing edge-cloud schedulers allocate the requested amounts of resources to each task, falling short of best utilizing the limited edge resources for ML tasks. This paper proposes TapFinger, a distributed scheduler for edge clusters that minimizes the total completion time of ML tasks through co-optimizing task placement and fine-grained multi-resource allocation. To learn the tasks' uncertain
arXiv:2302.00571v2
fatcat:jpryddasz5afpf7vkt6xbqz5ka
more »
... ce sensitivity and enable distributed scheduling, we adopt multi-agent reinforcement learning (MARL) and propose several techniques to make it efficient, including a heterogeneous graph attention network as the MARL backbone, a tailored task selection phase in the actor network, and the integration of Bayes' theorem and masking schemes. We first implement a single-task scheduling version, which schedules at most one task each time. Then we generalize to the multi-task scheduling case, in which a sequence of tasks is scheduled simultaneously. Our design can mitigate the expanded decision space and yield fast convergence to optimal scheduling solutions. Extensive experiments using synthetic and test-bed ML task traces show that TapFinger can achieve up to 54.9% reduction in the average task completion time and improve resource efficiency as compared to state-of-the-art schedulers.
Explore the Intention of Tourists of Visiting Colorful Village- A Case Study of Jingpu Colorful Village "Cat World"
2018
International Journal of Business and Social Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
The questionnaire was distributed and collected in Jingpu village based on a purposive sampling method. ...
This paper applies the theory of planned behavior to study the tourists' intentions of visiting the Jingpu Colorful Village "Cat World". ...
We thank a former director Gui-Duan Yang and Hui-Ting Yang for their assistances. ...
doi:10.30845/ijbss.v9n12p14
fatcat:jmq5wpw3dbbqzdjzb7rktlyxlq
Page 121 of Journal of Sedimentary Research Vol. 71, Issue 1
[page]
2001
Journal of Sedimentary Research
Preserved Fulltext
The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
Jingpu Liu is thanked for providing a reference paper. This is the Institute of Oceanology (Chinese Academy of Sciences) contribution number 3744. ...
STERNBERG, R.W., 1972, Predicting initial motion and bedioad transport of sediment particles in the shallow marine environment, in Swift, D.J.P., Duane, D.B., and Pilkey, O.H., ed., Shelf Sediment Transport ...
Modification to the Hardisty Equation, Regarding the Relationship Between Sediment Transport Rate and Particle Size
2001
Journal of Sedimentary Research
Preserved Fulltext
The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
Jingpu Liu is thanked for providing a reference paper. This is the Institute of Oceanology (Chinese Academy of Sciences) contribution number 3744. ...
STERNBERG, R.W., 1972, Predicting initial motion and bedioad transport of sediment particles in the shallow marine environment, in Swift, D.J.P., Duane, D.B., and Pilkey, O.H., ed., Shelf Sediment Transport ...
doi:10.1306/032100710118
fatcat:vgy6wxsufnhe5n7fwey5ro2sqq
Blood pressure levels in patients with subclinical thyroid dysfunction: a meta-analysis of cross-sectional data
2011
Hypertension Research
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
These results differ from those of the cross-sectional study by Duan et al. 5 and Walsh et al., 10 in which subclinical hypothyroidism was not associated with an increase in blood pressure. ...
First author
Year
Country/time of study/study
design
Exclusion criteria
TSH assay
Sphygmomanometer/
position/reading(s) used
Adjusted factors
Duan et al. 5
2009
China/April 2005 to May ...
doi:10.1038/hr.2011.91
pmid:21796125
fatcat:4c6kfkw7fveazbt5a5i3evwosm
Warriors as the Feminised Other--The study of male heroes in Chinese action cinema from 2000 to 2009
[article]
2014
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2015; you can also visit the original URL.
The file type is application/pdf.
Wong Ching-Po [Huang Jingpu]黄精埔 2004) failed to pass the Mainland censors and has never been released there officially. ...
‗Love' is also the impetus of the self-sacrifice of Duan and Murong. ...
doi:10.26021/4137
fatcat:ry2jlrcj5fcs5dbolhik5xjuze