World-Models for Bitrate Streaming

Autor: Harrison Brown, Kai Fricke, Eiko Yoneki

Publikováno v: Applied Sciences, Vol 10, Iss 19, p 6685 (2020)

Adaptive bitrate (ABR) algorithms optimize the quality of streaming experiences for users in client-side video players, especially in unreliable or slow mobile networks. Several rule-based heuristic algorithms can achieve stable performance, but they

Externí odkaz: https://doaj.org/article/86c697abf03e41ad8370aa3387d03817

MCTS-GEB: Monte Carlo Tree Search is a Good E-graph Builder

Autor: Guoliang He, Zak Singh, Eiko Yoneki

Publikováno v: Proceedings of the 3rd Workshop on Machine Learning and Systems.

Rewrite systems [6, 10, 12] have been widely employing equality saturation [9], which is an optimisation methodology that uses a saturated e-graph to represent all possible sequences of rewrite simultaneously, and then extracts the optimal one. As su

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3321bf861fa77f06b25cf88e7c6b48d8
https://doi.org/10.1145/3578356.3592577

High-Dimensional Bayesian Optimization with Multi-Task Learning for RocksDB

Autor: Sami Alabed, Eiko Yoneki

Publikováno v: EuroMLSys@EuroSys

RocksDB is a general-purpose embedded key-value store used in multiple different settings. Its versatility comes at the cost of complex tuning configurations. This paper investigates maximizing the throughput of RocksDB IO operations by auto-tuning t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::478414fb911c1ef3660a16e1cde3f6a4
http://arxiv.org/abs/2103.16267

The future is big graphs: a Community View on Graph Processing Systems

Autor: Jan Hidders, Mohamed Ragab, Angela Bonifati, Hannes Voigt, Maciej Besta, Alexandru Iosup, Ana Lucia Varbanescu, Petra Selmer, Tim Hegeman, Joshua Shinavier, Katja Hose, Stefania Dumbrava, Vasiliki Kalavri, Matei Ripeanu, Gábor Szárnyas, Eiko Yoneki, Da Yan, Semih Salihoglu, Renzo Angles, Eric Peukert, Olaf Hartig, Christian Schulz, Marcelo Arenas, Riccardo Tommasini, Nikolay Yakovets, Alexandru Uta, Stefan Plantikow, Juan F. Sequeda, M. Tamer Özsu, Emanuele Della Valle, Peter Boncz, Khaled Ammar, Wim Martens, Hsiang-Yun Wu, Bernhard Haslhofer, Sherif Sakr, Adriana Iamnitchi, Khuzaima Daudjee, Walid G. Aref, Antonino Tumeo, Hugo Kapp

Publikováno v: Communications of the ACM
Communications of the ACM, 2021, 64 (9), pp.62-71. ⟨10.1145/3434642⟩
Communications of the ACM, Association for Computing Machinery, 2021, 64 (9), pp.62-71. ⟨10.1145/3434642⟩
Communications of the ACM, 64 (9)
Communications of the ACM, 64(9), 62-71
Communications of the ACM, 64(9)

Graphs are, by nature, "unifying abstractions" that can leverage interconnectedness to represent, explore, predict, and explain real- and digital-world phenomena. although real users and consumers of graph instances and graph workloads understand the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0583a1df0b7470a0eda73099680ac6bd
http://hdl.handle.net/11311/1203211

Commodity single board computer clusters and their applications

Autor: Simon J. Cox, Robert Mullins, Philip J. Basford, Eiko Yoneki, Steven J. Johnston, Dimitrios P. Pezaros, Jeremy Singer, Fung Po Tso, Herry Herry, Colin Perkins

Publikováno v: Johnston, S, Basford, P, Perkins, C, Herry, H, Tso, F P, Pezaros, D, Mullins, R D, Yoneki, E, Cox, S & Singer, J 2018, ' Commodity single board computer clusters and their applications ', Future Generation Computer Systems, vol. 89, 0, pp. 201-212 . https://doi.org/10.1016/j.future.2018.06.048

Current commodity Single Board Computers (SBCs) are sufficiently powerful to run mainstream operating systems and workloads. Many of these boards may be linked together, to create small, low-cost clusters that replicate some features oflarge data cen

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d64f87b1ed8f33aafea61ad510c1c69e
https://doi.org/10.1016/j.future.2018.06.048