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Graph analytics power a range of applications in areas as diverse as finance, networking and business logistics. A common property of graphs used in the domain of graph analytics is a power-law distribution of vertex connectivity, wherein a…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-01-29 Priyank Faldu , Jeff Diamond , Boris Grot

Main memory database systems aim to provide users with low latency and high throughput access to data. Most data resides in secondary storage, which is limited by the access speed of the technology. For hot content, data resides in DRAM,…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-06-29 Francisco Romero , Benjamin Braun , David Cheriton

OpenMP is the de-facto standard for shared memory systems in High-Performance Computing (HPC). It includes a task-based model that offers a high-level of abstraction to effectively exploit highly dynamic structured and unstructured…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-12-12 Chenle Yu , Sara Royuela , Eduardo Quiñones

This paper studies the storage-latency tradeoff in the $3\times3$ wireless interference network with caches equipped at all transmitters and receivers. The tradeoff is characterized by the so-called fractional delivery time (FDT) at given…

Information Theory · Computer Science 2016-11-17 Fan Xu , Kangqi Liu , Meixia Tao

Caching techniques are widely used in the era of cloud computing from applications, such as Web caches to infrastructures, Memcached and memory caches in computer architectures. Prediction of cached data can greatly help improve cache…

Machine Learning · Computer Science 2020-08-03 Pengcheng Li , Yongbin Gu

When the data is distributed across multiple servers, lowering the communication cost between the servers (or workers) while solving the distributed learning problem is an important problem and is the focus of this paper. In particular, we…

Machine Learning · Computer Science 2020-03-25 Anis Elgabli , Jihong Park , Amrit S. Bedi , Mehdi Bennis , Vaneet Aggarwal

Cross-domain recommendation (CDR) methods are proposed to tackle the sparsity problem in click through rate (CTR) estimation. Existing CDR methods directly transfer knowledge from the source domains to the target domain and ignore the…

Machine Learning · Computer Science 2024-11-15 Ke Xu , Ziliang Wang , Wei Zheng , Yuhao Ma , Chenglin Wang , Nengxue Jiang , Cai Cao

Federated graph learning is a widely recognized technique that promotes collaborative training of graph neural networks (GNNs) by multi-client graphs.However, existing approaches heavily rely on the communication of model parameters or…

Machine Learning · Computer Science 2025-05-06 Hao Zhang , Xunkai Li , Yinlin Zhu , Lianglin Hu

Streaming graphs are drawing increasing attention in both academic and industrial communities as many graphs in real applications evolve over time. Continuous subgraph matching (shorted as CSM) aims to report the incremental matches of a…

Data Structures and Algorithms · Computer Science 2023-04-26 Rongjian Yang , Zhijie Zhang , Weiguo Zheng , Jeffery Xu Yu

Nowadays, tiered architectures are widely accepted for constructing large scale information systems. In this context application servers often form the bottleneck for a system's efficiency. An application server exposes an object oriented…

Databases · Computer Science 2007-05-23 Daniel Pfeifer , Peter C. Lockemann

This paper introduces a warehouse optimization procedure aimed at enhancing the efficiency of product storage and retrieval. By representing product locations and order flows within a time-evolving graph structure, we employ unsupervised…

Optimization and Control · Mathematics 2025-10-21 Magnus Bengtsson , Jens Wittsten , Jonas Waidringer

In the most popular distributed stream processing frameworks (DSPFs), programs are modeled as a directed acyclic graph. This model allows a DSPF to benefit from the parallelism power of distributed clusters. However, choosing the proper…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-11-03 Hamid Nasiri , Saeed Nasehi , Arman Divband , Maziar Goudarzi

We present a new unified framework for minimizing congestion-dependent network cost in information-centric networks by jointly optimizing forwarding and caching strategies. As caching variables are integer-constrained, the resulting…

Networking and Internet Architecture · Computer Science 2017-10-17 Milad Mahdian , Edmund Yeh

The strength of carrier-sense multiple access with collision avoidance (CSMA/CA) can be combined with that of time-division multiple access (TDMA) to enhance the channel access performance in wireless networks such as the IEEE…

Networking and Internet Architecture · Computer Science 2016-11-18 Bharat Shrestha , Ekram Hossain , Kae Won Choi

Data intensive applications on clusters often require requests quickly be sent to the node managing the desired data. In many applications, one must look through a sorted tree structure to determine the responsible node for accessing or…

Distributed, Parallel, and Cluster Computing · Computer Science 2007-05-23 Xiaoqin Ma , Gene Cooperman

Satellite communications present challenging characteristics. Continuous end-to-end connectivity may not be available due to the large distances between satellites. Moreover, resources such as link capacity and buffer memory may be limited.…

Networking and Internet Architecture · Computer Science 2026-03-10 Tania Alhajj , Vincent Corlay

We study a quantum entanglement switch that serves $k$ users in a star topology. We model variants of the system using Markov chains and standard queueing theory and obtain expressions for switch capacity and the expected number of qubits…

Quantum Physics · Physics 2022-04-27 Gayane Vardoyan , Saikat Guha , Philippe Nain , Don Towsley

Massive machine type communication (mMTC) has been identified as an important use case in Beyond 5G networks and future massive Internet of Things (IoT). However, for the massive multiple access in mMTC, there is a serious access preamble…

Information Theory · Computer Science 2021-02-26 Gaofeng Cheng , Huan Chen , Pingzhi Fan , Li Li , Li Hao

The ultra-dense small cell networks (SCNs) have been regarded as a promising technology to solve the data traffic explosion in future. However, the complicated relationships among large scale users and cells practically demand a cooperative…

Computer Science and Game Theory · Computer Science 2018-07-24 Yuli Zhang , Yuhua Xu , Alagan Anpalagan , Qihui Wu , Yitao Xu , Youming Sun , Shuo Feng , Yunpeng Luo

Electronic data is growing at increasing rates, in both size and connectivity: the increasing presence of, and interest in, relationships between data. An example is the Twitter social network graph. Due to this growth demand is increasing…

Databases · Computer Science 2013-01-23 Alex Averbuch , Martin Neumann
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