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Stokkink, Q.A. (author), Ileri, Can Umut (author), Epema, D.H.J. (author), Pouwelse, J.A. (author)
Web3 is emerging as the new Internet-interaction model that facilitates direct collaboration between strangers without a need for prior trust between network participants and without central authorities. However, one of its shortcomings is the lack of a defense mechanism against the ability of a single user to generate a surplus of identities,...
journal article 2023
document
Akkaoui, R. (author), Stefanov, Alexandru (author), Palensky, P. (author), Epema, D.H.J. (author)
The solar industry in residential areas has been witnessing an astonishing growth worldwide. At the heart of this transformation, affecting the edge of the electricity grid, reside smart inverters (SIs). These IoT-enabled devices aim to introduce a certain degree of intelligence to conventional inverters by integrating various grid support...
journal article 2023
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Akkaoui, R. (author), Stefanov, Alexandru (author), Palensky, P. (author), Epema, D.H.J. (author)
The concept of the internet of energy (IoE) emerged as an innovative paradigm to encompass all the complex and intertwined notions relevant to the transition of current smart grids towards more decarbonization, digitalization and decentralization. With a focus on the two last aspects, the amount of intelligent devices being connected in a...
journal article 2022
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Esmat, A.A.S. (author), de Vos, M.A. (author), Ghiassi-Farrokhfal, Yashar (author), Palensky, P. (author), Epema, D.H.J. (author)
Peer-to-Peer (P2P) energy trading, which allows energy consumers/producers to directly trade with each other, is one of the new paradigms driven by the decarbonization, decentralization, and digitalization of the energy supply chain. Additionally, the rise of blockchain technology suggests unprecedented socio-economic benefits for energy...
journal article 2021
document
Cheng, Long (author), Wang, Ying (author), Liu, Qingzhi (author), Epema, D.H.J. (author), Liu, Cheng (author), Mao, Ying (author), Murphy, John (author)
Large data centers are currently the mainstream infrastructures for big data processing. As one of the most fundamental tasks in these environments, the efficient execution of distributed data operators (e.g., join and aggregation) are still challenging current data systems, and one of the key performance issues is network communication time....
journal article 2021
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Prabhu Kumble, S. (author), Epema, D.H.J. (author), Roos, S. (author)
Lightning, the prevailing solution to Bitcoin's scalability issue, uses onion routing to hide senders and recipients of payments. Yet, the path between the sender and the recipient along which payments are routed is selected such that it is short, cost efficient, and fast. The low degree of randomness in the path selection entails that...
conference paper 2021
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Omranian Khorasani, S. (author), Rellermeyer, Jan S. (author), Epema, D.H.J. (author)
The demand for additional performance due to the rapid increase in the size and importance of data-intensive applications has considerably elevated the complexity of computer architecture. In response, systems offer pre-determined behaviors based on heuristics and then expose a large number of configuration parameters for operators to adjust...
conference paper 2019
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Rezaeian, Amin (author), Naghibzadeh, Mahmoud (author), Epema, D.H.J. (author)
Cloud schedulers that allocate resources exclusively to single workflows are not work-conserving as they may be forced to leave gaps in their schedules because of the precedence constraints in the workflows. Thus, they may lead to a waste of financial resources. This problem can be mitigated by multiple-workflow schedulers that share the...
journal article 2019
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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
Ilyushkin, A.S. (author), Epema, D.H.J. (author)
Workflow schedulers often rely on task runtime estimates when making scheduling decisions, and they usually target the scheduling of a single workflow or batches of workflows. In contrast, in this paper, we evaluate the impact of the absence or limited accuracy of task runtime estimates on slowdown when scheduling complete workloads of workflows...
conference paper 2018
document
Cheng, Long (author), Wang, Ying (author), Pei, Yulong (author), Epema, D.H.J. (author)
Efficient execution of distributed database operators such as joining and aggregating is critical for the performance of big data analytics. With the increase of the compute speedup of modern CPUs, reducing the network<br/>communication time of these operators in large systems is becoming increasingly important, and also challenging current...
conference paper 2017
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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
Ghit, B.I. (author), Epema, D.H.J. (author)
Providing fault-tolerance is of major importance for data analytics frameworks such as Hadoop and Spark, which are typically deployed in large clusters that are known to experience high failures rates. Unexpected events such as compute node failures are in particular an important challenge for in-memory data analytics frameworks, as the widely...
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
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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
Ghit, B.I. (author), Epema, D.H.J. (author)
Many large-scale data analytics infrastructures are employed for a wide variety of jobs, ranging from short interactive queries to large data analysis jobs that may take hours or even days to complete. As a consequence, data-processing frameworks like MapReduce may have workloads consisting of jobs with heavy-tailed processing requirements. With...
conference paper 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
Ghit, B.I. (author), Epema, D.H.J. (author)
A well-known problem when executing data-intensive workloads with such frameworks as MapReduce is that small jobs with processing requirements counted in the minutes may suffer from the presence of huge jobs requiring hours or days of compute time, leading to a job slowdown distribution that is very variable and that is uneven across jobs of...
conference paper 2015
document
Capota, M. (author), Pouwelse, J.A. (author), Epema, D.H.J. (author)
Accounting mechanisms based on credit are used in peer-to-peer systems to track the contribution of peers to the community for the purpose of deterring freeriding and rewarding good behavior. Most often, peers earn credit for uploading files, but other activities might be rewarded in the future as well, such as making useful comments or...
conference paper 2015
document
Ilyushkin, A.S. (author), Epema, D.H.J. (author)
Many fields of modern science require huge amounts of computation, and workflows are a very popular tool in e-Science since they allow to organize many small, simple tasks to solve big problems. They are used in astronomy, bioinformatics, machine learning, social network analysis, physics, and many other branches of science. Workflows are...
conference paper 2015
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