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Understanding how packets are routed in Internet is significantly important to Internet measurement and modeling. The conventional solution for route simulation is based on the assumption of unweighted shortest path. However, it has been…

Networking and Internet Architecture · Computer Science 2014-09-30 Mingming Chen , Jichang Zhao , Xiao Liang , Ke Xu

With an increase in the number of internet users and the need to secure internet traffic, the unreliable IPv4 protocol has been replaced by a more secure protocol, called IPv6 for Internet system. The IPv6 protocol does not allow…

Networking and Internet Architecture · Computer Science 2021-07-07 Ishfaq Hussain , Janibul Bashir

Knowledge graph embeddings rank among the most successful methods for link prediction in knowledge graphs, i.e., the task of completing an incomplete collection of relational facts. A downside of these models is their strong sensitivity to…

Machine Learning · Statistics 2019-07-03 Robert Bamler , Farnood Salehi , Stephan Mandt

Forecasting the future traffic flow distribution in an area is an important issue for traffic management in an intelligent transportation system. The key challenge of traffic prediction is to capture spatial and temporal relations between…

Machine Learning · Computer Science 2019-04-15 Shiheng Ma , Jingcai Guo , Song Guo , Minyi Guo

With small cell base stations (SBSs) densely deployed in addition to conventional macro base stations (MBSs), the heterogeneous cellular network (HCN) architecture can effectively boost network capacity. To support the huge power demand of…

Networking and Internet Architecture · Computer Science 2016-11-18 Shan Zhang , Ning Zhang , Sheng Zhou , Jie Gong , Zhisheng Niu , Xuemin , Shen

In-memory computing hardware accelerators allow more than 10x improvements in peak efficiency and performance for matrix-vector multiplications (MVM) compared to conventional digital designs. For this, they have gained great interest for…

Hardware Architecture · Computer Science 2024-09-19 Pouya Houshmand , Marian Verhelst

Inter-domain Gaussian processes (GPs) allow for high flexibility and low computational cost when performing approximate inference in GP models. They are particularly suitable for modeling data exhibiting global structure but are limited to…

Machine Learning · Statistics 2020-11-03 Tim G. J. Rudner , Dino Sejdinovic , Yarin Gal

Relying on multi-hop communication techniques, aeronautical ad hoc networks (AANETs) seamlessly integrate ground base stations (BSs) and satellites into aircraft communications for enhancing the on-demand connectivity of planes in the air.…

Information Theory · Computer Science 2020-10-19 Jingjing Cui , Dong Liu , Jiankang Zhang , Halil Yetgin , Soon Xin Ng , Lajos Hanzo

Adaptive routing algorithm has been employed in multichip interconnection networks in order to improve network performance. Does a algorithm use local or global network state? This is the key question in adaptive routing. In many traffic…

Networking and Internet Architecture · Computer Science 2012-08-03 Shaoli Liu , Yunji Chen , Tianshi Chen , Ling Li , Chao Lu

Interlayer link prediction aims at matching the same entities across different layers of the multiplex network. Existing studies attempt to predict more accurately, efficiently, or generically from the aspects of network structure,…

Physics and Society · Physics 2022-05-19 Rui Tang , Shuyu Jiang , Xingshu Chen , Wenxian Wang , Wei Wang

Knowledge graph embedding methods learn embeddings of entities and relations in a low dimensional space which can be used for various downstream machine learning tasks such as link prediction and entity matching. Various graph convolutional…

Machine Learning · Computer Science 2021-02-16 Nasrullah Sheikh , Xiao Qin , Berthold Reinwald , Christoph Miksovic , Thomas Gschwind , Paolo Scotton

Prompt tuning has emerged as a lightweight strategy for adapting foundation models to downstream tasks, particularly for resource-constrained systems. As pre-trained prompts become valuable assets, combining multiple source prompts offers a…

Computation and Language · Computer Science 2025-10-16 Enming Zhang , Liwen Cao , Yanru Wu , Zijie Zhao , Yang Li

Due to the cost of labeling nodes, classifying a node in a sparsely labeled graph while maintaining the prediction accuracy deserves attention. The key point is how the algorithm learns sufficient information from more neighbors with…

Machine Learning · Computer Science 2020-04-10 Chaojie Ji , Ruxin Wang , Rongxiang Zhu , Yunpeng Cai , Hongyan Wu

This paper proposes an energy-workload coupled migration optimization strategy for virtual power plants (VPPs) with data centers (DCs) to enhance resource scheduling flexibility and achieve precise demand response (DR) curve tracking. A…

Systems and Control · Electrical Eng. & Systems 2025-11-13 Jia-Kai Wu , Zhi-Wei Liu , Yong Zhao , Yan-Wu Wang , Fan-Rong Qu , Chaojie Li

Freight consolidation has significant potential to reduce transportation costs and mitigate congestion and pollution. An effective load consolidation plan relies on carefully chosen consolidation points to ensure alignment with existing…

Machine Learning · Computer Science 2025-04-15 Sikai Cheng , Amira Hijazi , Jeren Konak , Alan Erera , Pascal Van Hentenryck

Emerging edge computing paradigms enable heterogeneous devices to collaborate on complex computation applications. However, for arbitrary heterogeneous edge networks, delay-optimal forwarding and computation offloading remains an open…

Networking and Internet Architecture · Computer Science 2025-06-17 Jinkun Zhang , Yuezhou Liu , Edmund Yeh

Link prediction aims to uncover missing links or predict the emergence of future relationships according to the current networks structure. Plenty of algorithms have been developed for link prediction in unweighted networks, with only a…

Social and Information Networks · Computer Science 2015-09-22 Jing Zhao , Lili Miao , Haiyang Fang , Qian-Ming Zhang , Min Nie , Tao Zhou

In this paper, we consider traffic offloading of integrated low earth orbit (LEO) satellite-terrestrial network. We first derive traffic offloading probability from the terrestrial network to the LEO satellite network based on the…

Information Theory · Computer Science 2023-08-01 Hossein Akhlaghpasand , Vahid Shah-Mansouri

Adapting applications' data rates in multi-hop wireless ad-hoc networks is inherently challenging. Packet collision, channel contention, and queue buildup contribute to packet loss but are difficult to manage in conventional TCP/IP…

Networking and Internet Architecture · Computer Science 2021-07-15 Md Ashiqur Rahman , Beichuan Zhang

As the needs of Internet users and applications significantly changed over the last decade, inter-domain routing became more important to fulfill these needs. The ways how data flows over the Internet are still completely in the hand of…

Networking and Internet Architecture · Computer Science 2023-02-01 Marten Gartner , Thorben Krüger , David Hausheer
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