Searched for: author%3A%22Epema%2C+D.H.J.%22
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Mol, J.J.D. (author), Pouwelse, J.A. (author), Meulpolder, M. (author), Epema, D.H.J. (author), Sips, H.J. (author)
Centralised solutions for Video-on-Demand (VoD) services, which stream pre-recorded video content to multiple clients who start watching at the moments of their own choosing, are not scalable because of the high bandwidth requirements of the central video servers. Peer-to-peer (P2P) techniques which let the clients distribute the video content...
conference paper 2008
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Garbacki, P. (author), Epema, D.H.J. (author), Van Steen, M. (author)
conference paper 2007
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Jia, L. (author), d' Acunto, L. (author), Meulpolder, M. (author), Pouwelse, J.A. (author), Epema, D.H.J. (author)
Enhancing reciprocity has been one of the primary motivations for the design of incentive policies in BitTorrent-like P2P systems. Reciprocity implies that peers need to contribute their bandwidth to other peers if they want to receive bandwidth in return. However, the over-provisioning that characterizes today’s BitTorrent communities and the...
conference paper 2011
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Jia, L. (author), Rahman, R (author), Vinko, T. (author), Pouwelse, J.A. (author), Epema, D.H.J. (author)
Many private BitTorrent communities employ Sharing Ratio Enforcement (SRE) schemes to incentivize users to contribute their upload resources. It has been demonstrated that communities that use SRE are greatly oversupplied, i.e., they have much higher seeder-to-leecher ratios than communities in which SRE is not employed. The first order effect...
conference paper 2011
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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
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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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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
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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
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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
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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
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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
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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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Ilyushkin, A.S. (author), Ghit, B.I. (author), Epema, D.H.J. (author)
Workflows are important computational tools in many branches of science, and because of the dependencies among their tasks and their widely different characteristics, scheduling them is a difficult problem. Most research on scheduling workflows has focused on the offline problem of minimizing the makespan of single workflows with known task...
conference paper 2015
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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
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Shen, S. (author), Iosup, A. (author), Israel, Assaf (author), Cirne, Walfredo (author), Raz, Danny (author), Epema, D.H.J. (author)
Data enters are at the core of a wide variety of daily ICT utilities, ranging from scientific computing to online gaming. Due to the scale of today's data enters, the failure of computing resources is a common occurrence that may disrupt the availability of ICT services, leading to revenue loss. Although many high availability (HA) techniques...
conference paper 2015
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Gkorou, D. (author), Pouwelse, J.A. (author), Epema, D.H.J. (author)
Distributed reputation systems establish trust among strangers in online communities and provide incentives for users to contribute. In these systems, each user monitors the interactions of others and computes the reputations accordingly. Collecting information for computing the reputations is challenging for the users due to their vulnerability...
conference paper 2015
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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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Ghit, B.I. (author), Capota, M. (author), Hegeman, T.M. (author), Hidders, A.J.H. (author), Epema, D.H.J. (author), Iosup, A. (author)
conference paper 2014
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Pouwelse, J.A. (author), Garbacki, P. (author), Epema, D.H.J. (author), Sips, H.J. (author)
journal article 2008
Searched for: author%3A%22Epema%2C+D.H.J.%22
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