24 papers · ranked by Valyu relevance
Carlos Gershenson
In this chapter, concepts related to information and computation are reviewed in the context of human computation. A brief introduction to information theory and different types of computation is given. Two examples of human computation systems, online social networks and Wikipedia, are used to illustrate how these can…
Rochan Pant
Personal computers (PCs) are what most of us use to store information (data) of various kinds, from photographs of the time you visited Alaska and video recordings of your child's birthday to the article on the role of perfusion MRI in brain tumors. When we want to share data stored on a PC, we transfer the data to a…
Ramya Mohan
This paper outlines a comprehensive model to increase system efficiency, preserve network bandwidth, monitor incoming and outgoing packets, ensure the security of confidential files and reduce power wastage in an organization. This model illustrates the use and potential application of a Network Analysis Tool (NAT) in…
Yunpeng Xie, Xiaoyao Huang, Jingchun Li, Tianhe Liu + 1 more
'Charalampos Konstantopoulos'] This paper presents a novel routing planning method based on multi-objective optimization to tackle the routing problem in computing power networks. The proposed method aims to improve the performance and efficiency of routing by considering multiple objectives. In this study, we first…
Yukun Sun, Junlin Liu, Haonan Huang, Xing Zhang + 3 more
'Wenbo Wang'] Abstract: With the rapid development of cloud computing, edge computing, and smart devices, computing power resources indicate a trend of ubiquitous deployment. The traditional network architecture cannot efficiently leverage these distributed computing power resources due to computing power island…
Noa Zilberman, Andrew W. Moore, Jon A. Crowcroft
Computer architectures have entered a watershed as the quantity of network data generated by user applications exceeds the data-processing capacity of any individual computer end-system. It will become impossible to scale existing computer systems while a gap grows between the quantity of networked data and the…
Yujiao Hu, Qingmin Jia, Meng Shen, Renchao Xie + 2 more
Cooperative Routing Authors: ['Yujiao Hu' 'Qingmin Jia' 'Meng Shen' 'Renchao Xie' 'Tao Huang' 'F. Richard Yu'] Abstract—The emergence of intelligent applications and recent advances in the fields of computing and networks are driving the development of computing and networks convergence (CNC) system. However, existing…
Gabriel Urzaiz, David Villa, Felix Villanueva, Juan Carlos Lopez
A solid and versatile communications platform is very important in modern Ambient Intelligence (AmI) applications, which usually require the transmission of large amounts of multimedia information over a highly heterogeneous network. This article focuses on the concept of Process-in-Network (PIN), which is defined as…
Felipe S. Abrahão, Klaus Wehmuth, Artur Ziviani
As one of the main subjects of investigation in data science, network science has been demonstrated a wide range of applications to real-world networks analysis and modeling. For example, the pervasive presence of structural or topological characteristics, such as the small-world phenomenon, small-diameter, scale-free…
Falco C. M. J. M. van Delft, Giulia Ipolitti, Dan V. Nicolau Jr, Ayyappasamy Sudalaiyadum Perumal + 4 more
On-chip network-based computation, using biological agents, is a new hardware-embedded approach which attempts to find solutions to combinatorial problems, in principle, in a shorter time than the fast, but sequential electronic computers. This analytical review starts by describing the underlying mathematical…
Gonzalo Travieso, Carlos Ruggiero, Odemir Martinez Bruno, Luciano da Fontoura Costa
'Luciano da Fontoura Costa'] This work reports a quantitative analysis to predicting the efficiency of distributed computing running in three models of complex networks: Barabsi-Albert, Erd˝os-Rnyi and Watts-Strogatz. A master/slave computing model is simulated. A node is selected as master and distributes tasks among…
Mohamed Firdhous
– This paper presents a comparative study of distributed systems and the security issues associated with those systems. Four commonly used distributed systems were considered for detailed analysis in terms of technologies involved, security issues faced by them and solution proposed to circumvent those issues. Finally…
Muhammad Murtaza Yousaf, Michael Welzl
We present a network-aware HEFT. The original HEFT does not take care of parallel network flows while designing its schedule for a computational environment where computing nodes are physically at distant locations. In the proposed mechanism, such data transfers are stretched to their realistic completion time. A HEFT…
Benjamin Ries, Richard J Gowers, James RB Eastwood, Irfan Alibay + 4 more
Alchemical free energy campaigns can be planned using graph theory by building up networks that contain nodes representing molecules that are connected by possible transformations as edges. We introduce Konnektor, an open-source Python package, for systematically planning, modifying, and analyzing free energy…
James R. Riehl, Maxwell I. Zimmerman, Matthew F. Singh, Gregory R. Bowman + 1 more
Equilibria, or fixed points, play an important role in dynamical systems across various domains, yet finding them can be computationally challenging. Here, we show how to efficiently compute all equilibrium points of discrete-valued, discrete-time systems on sparse networks. Using graph partitioning, we recursively…
Laura E. Suárez, Agoston Mihalik, Filip Milisav, Kenji Marshall + 4 more
The connection patterns of neural circuits form a complex network. How signaling in these circuits manifests as complex cognition and adaptive behaviour remains the central question in neuroscience. Concomitant advances in connectomics and artificial intelligence open fundamentally new opportunities to understand how…
Jan Rudolph, Jürgen Cox
Proteomics data analysis strongly benefits from not studying single proteins in isolation but taking their multivariate interdependence into account. We introduce PerseusNet, the new Perseus network module for the biological analysis of proteomics data. Proteomics is commonly used to generate networks, e.g. with…
Insuk Lee, Eiru Kim, Edward M. Marcotte
We find that the topologies of real world networks, such as those formed within human societies, by the Internet, or among cellular proteins, are dominated by the mode of the interactions considered among the individuals. Consequently, a major dichotomy in previously studied networks arises from modeling networks in…
Alessandro Celestini, Marco Cianfriglia, Enrico Mastrostefano, Alessandro Palma + 2 more
Network-based ranking methods (e.g., centrality analysis) have found extensive use in systems biology and network medicine for the prediction of essential proteins, for the prioritization of drug targets candidates in the treatment of several pathologies and in biomarker discovery, and for human disease genes…
Rika Kobayashi, Theodorus P. M. Gouman, N. Ole Carstensen, Thomas M. Soini + 11 more
The COVID-19 pandemic disrupted chemistry teaching practices globally as many courses were forced online necessitating adaptation to the digital platform. The biggest impact was to the practical component of the chemistry curriculum – the so-called wet lab. Naively, it would be thought that computer-based teaching labs…
Daniel Barter, Evan Walter Clark Spotte-Smith, Nikita S. Redkar, Shyam Dwaraknath + 2 more
Chemical reaction networks (CRNs) are powerful tools for obtaining mechanistic insight into complex reactive processes. However, they are limited in their applicability where reaction mechanisms are unintuitive, and products are unknown. Here we report new methods of CRN generation and analysis that overcome these…
Joseph L. Natale, David Hofmann, Damián G. Hernández, Ilya Nemenman
Much of contemporary systems biology owes its success to the abstraction of a network, the idea that diverse kinds of molecular, cellular, and organismal species and interactions can be modeled as relational nodes and edges in a graph of dependencies. Since the advent of high-throughput data acquisition technologies in…
Harry Gray
Developed in this article is the electron transfer network, a graph structure whose adjacent nodes are reversibly coupled chemically reactive species whose forward and reverse rate constants are calculated by semiclassical electron transfer theory. These ET networks resemble electric circuits containing branches…
Authors not listed
The era of exascale computing presents both exciting opportunities and unique challenges for quantum mechanical simulations. While the transition from petaflops to exascale computing has been marked by a steady increase in computational power, the shift towards heterogeneous architectures, particularly the dominant…