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Iosup, Alexandru (author), Prodan, Radu (author), Varbanescu, Ana Lucia (author), Talluri, Sacheendra (author), Magalhaes, Gilles (author), Hokstam, Kailhan (author), Zwaan, Hugo (author), van Beek, V.S. (author), Farahani, Reza (author)
Our society is increasingly digital, and its processes are increasingly digitalized. As an emerging technology for the digital society, graphs provide a universal abstraction to represent concepts and objects, and the relationships between them. However, processing graphs at a massive scale raises numerous sustainability challenges; becoming...
conference paper 2023
document
Andreadis, G. (author), Mastenbroek, Fabian Mastenbroek (author), van Beek, V.S. (author), Iosup, A. (author)
Cloud datacenters provide a backbone to our digital society. Inaccurate capacity procurement for cloud datacenters can lead to significant performance degradation, denser targets for failure, and unsustainable energy consumption. Although this activity is core to improving cloud infrastructure, relatively few comprehensive approaches and...
journal article 2021
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Sakr, Sherif (author), Bonifati, Angela (author), Voigt, Hannes (author), Iosup, A. (author), Ammar, Khaled (author), Angles, Renzo (author), Aref, Walid (author), Arenas, Marcelo (author), Besta, MacIej (author)
Graphs are ubiquitous abstractions enabling reusable computing tools for graph processing with applications in every domain. Diverse workloads, standard models and languages, algebraic frameworks, and suitable and reproducible performance metrics will be at the core of graph processing ecosystems in the future. Academics, start-ups, and big...
journal article 2021
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Uta, Alexandru (author), Custura, Alexandru (author), Duplyakin, Dmitry (author), Jimenez, Ivo (author), Rellermeyer, Jan S. (author), Maltzahn, Carlos (author), Ricci, Robert (author), Iosup, Alexandru (author)
Performance variability has been acknowledged as a problem for over a decade by cloud practitioners and performance engineers. Yet, our survey of top systems conferences reveals that the research community regularly disregards variability when running experiments in the cloud. Focusing on networks, we assess the impact of variability on cloud...
conference paper 2020
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Jiang, M. (author), Visser, O.W. (author), Prasetya, I.S.W.B. (author), Iosup, A. (author)
Mobile gaming is already a popular and lucrative market. However, the low performance and reduced power capacity of mobile devices severely limit the complexity of mobile games and the duration of their game sessions. To mitigate these issues, in this article, we explore using computation‐offloading, that is, allowing the compute‐intensive parts...
journal article 2018
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Ilyushkin, A.S. (author), Ali-Eldin, Ahmed (author), Herbst, Nikolas (author), Bauer, André (author), Papadopoulos, Alessandro (author), Epema, D.H.J. (author), Iosup, A. (author)
Elasticity is one of the main features of cloud computing allowing customers to scale their resources based on the workload. Many autoscalers have been proposed in the past decade to decide on behalf of cloud customers when and how to provision resources to a cloud application based on the workload utilizing cloud elasticity features. However,...
journal article 2018
document
Kuipers, F.A. (author), Märtens, M. (author), van der Hoeven, Ernst (author), Iosup, A. (author)
Within the vast and rich field of online gaming, a new generation of Online Social Games (OSGs) is emerging that have in common a core of social interaction, sometimes explicit, other times implicit. This common core of social experience promises to become at least as important as the experience derived from the game-­‐world itself. In this...
book chapter 2018
document
Au, S.T. (author), Uta, Alexandru (author), Ilyushkin, A.S. (author), Iosup, A. (author)
Graphs are a natural fit for modeling concepts used in solving diverse problems in science, commerce, engineering, and governance. Responding to the variety of graph data and algorithms, many parallel and distributed graph processing systems exist. However, until now these platforms use a static model of deployment: they only run on a pre...
conference paper 2018
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Uta, Alexandru (author), Au, S.T. (author), Ilyushkin, A.S. (author), Iosup, A. (author)
Graphs are a natural fit for modeling concepts used in solving diverse problems in science, commerce, engineering, and governance. Responding to the diversity of graph data and algorithms, many parallel and distributed graph-processing systems exist. However, until now these platforms use a static model of deployment: they only run on a pre...
conference paper 2018
document
Uta, Alexandru (author), Varbanescu, A.L. (author), Musaafir, Ahmed (author), Lemaire, Chris (author), Iosup, A. (author)
The question 'Can big data and HPC infrastructure converge?' has important implications for many operators and clients of modern computing. However, answering it is challenging. The hardware is currently different, and fast evolving: big data uses machines with modest numbers of fat cores per socket, large caches, and much memory, whereas HPC...
conference paper 2018
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van Eyk, E.D.C. (author), Toader, Lucian (author), Talluri, Sacheendra (author), Versluis, Laurens (author), Uta, Alexandru (author), Iosup, A. (author)
In the late-1950s, leasing time on an IBM 704 cost hundreds of dollars per minute. Today, cloud computing, that is, using IT as a service, on-demand and pay-per-use, is a widely used computing paradigm that offers large economies of scale. Born from a need to make platform as a service (PaaS) more accessible, fine-grained, and affordable,...
journal article 2018
document
Ma, S. (author), Ilyushkin, A.S. (author), Stegehuis, Alexander (author), Iosup, A. (author)
Complex workflows that process sensor data are useful for industrial infrastructure management and diagnosis. Although running such workflows in clouds promises reduces operational costs, there are still numerous scheduling challenges to overcome. Such complex workflows are dynamic, exhibit periodic patterns, and combine diverse task groupings...
report 2017
document
Ilyushkin, A.S. (author), Ali-Eldin, Ahmed (author), Herbst, Nikolas (author), Papadopoulos, Alessandro (author), Ghit, B.I. (author), Epema, D.H.J. (author), Iosup, A. (author)
Simplifying the task of resource management and scheduling for customers, while still delivering complex Quality-of-Service (QoS), is key to cloud computing. Many autoscaling policies have been proposed in the past decade to decide on behalf of cloud customers when and how to provision resources to a cloud application utilizing cloud elasticity...
conference paper 2017
document
Ma, S. (author), Ilyushkin, A.S. (author), Stegehuis, Alexander (author), Iosup, A. (author)
Complex workflows that process sensor data are useful for industrial infrastructure management and diagnosis. Although running such workflows in clouds promises reduced operational costs, there are still numerous scheduling challenges to overcome. Such complex workflows are dynamic, exhibit periodic patterns, and combine diverse task groupings...
conference paper 2017
document
Jia, L. (author), Shen, S. (author), Epema, D.H.J. (author), Iosup, A. (author)
Online gaming franchises such as World of Tanks, Defense of the Ancients, and StarCraft have attracted hundreds of millions of users who, apart from playing the game, also socialize with each other through gaming and viewing gamecasts. As a form of User Generated Content (UGC), gamecasts play an important role in user entertainment and gamer...
journal article 2016
document
Guo, Y. (author), Varbanescu, A.L. (author), Epema, D.H.J. (author), Iosup, A. (author)
Graph processing is increasingly used in a variety of domains, from engineering to logistics and from scientific computing to online gaming. To process graphs efficiently, GPU-enabled graph-processing systems such as TOTEM and Medusa exploit the GPU or the combined CPU+GPU capabilities of a single machine. Unlike scalable distributed CPU-based...
conference paper 2016
document
Ali-Eldin, Ahmed (author), Ilyushkin, A.S. (author), Ghit, B.I. (author), Herbst, Nikolas (author), Papadopoulos, Alessandro (author), Iosup, A. (author)
Rapid elasticity is one of the essential characteristics of cloud computing identified by NIST. Elasticity allows resources to be provisioned and released to scale rapidly out ward and in ward according to demand. Tens -- if not hundreds -- of algorithms have been proposed in the literature to automatically achieve elastic provisioning. These...
conference paper 2016
document
Iosup, A. (author), Hegeman, T.M. (author), Ngai, W.L. (author), Heldens, S.J. (author), Prat-Pérez, Arnau (author), Manhardto, Thomas (author), Chafio, Hassan (author), Capota, M. (author), Sundaram, Narayanan (author)
In this paper we introduce LDBC Graphalytics, a new industrial-grade benchmark for graph analysis platforms. It consists of six deterministic algorithms, standard datasets, synthetic dataset generators, and reference output, that enable the objective comparison of graph analysis platforms. Its test harness produces deep metrics that quantify...
journal article 2016
document
Jia, L. (author), Shen, S. (author), van de Bovenkamp, R. (author), Iosup, A. (author), Kuipers, F.A. (author), Epema, D.H.J. (author)
Multiplayer Online Games (MOGs) like Defense of the Ancients and StarCraft II have attracted hundreds of millions of users who communicate, interact, and socialize with each other through gaming. In MOGs, rich social relationships emerge and can be used to improve gaming services such as match recommendation and game population retention, which...
journal article 2015
document
Märtens, M. (author), Shen, S. (author), Iosup, A. (author), Kuipers, F.A. (author)
Social interactions in multiplayer online games are an essential feature for a growing number of players world-wide. However, this interaction between the players might lead to the emergence of undesired and unintended behavior, particularly if the game is designed to be highly competitive. Communication channels might be abused to harass and...
conference paper 2015
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