Zobrazeno 1 - 10
of 167
pro vyhledávání: '"Ripeanu, Matei"'
Recent advances in dynamic graph processing have enabled the analysis of highly dynamic graphs with change at rates as high as millions of edge changes per second. Solutions in this domain, however, have been demonstrated only for relatively simple a
Externí odkaz:
http://arxiv.org/abs/2311.07016
Autor:
Sakr, Sherif, Bonifati, Angela, Voigt, Hannes, Iosup, Alexandru, Ammar, Khaled, Angles, Renzo, Aref, Walid, Arenas, Marcelo, Besta, Maciej, Boncz, Peter A., Daudjee, Khuzaima, Della Valle, Emanuele, Dumbrava, Stefania, Hartig, Olaf, Haslhofer, Bernhard, Hegeman, Tim, Hidders, Jan, Hose, Katja, Iamnitchi, Adriana, Kalavri, Vasiliki, Kapp, Hugo, Martens, Wim, Özsu, M. Tamer, Peukert, Eric, Plantikow, Stefan, Ragab, Mohamed, Ripeanu, Matei R., Salihoglu, Semih, Schulz, Christian, Selmer, Petra, Sequeda, Juan F., Shinavier, Joshua, Szárnyas, Gábor, Tommasini, Riccardo, Tumeo, Antonino, Uta, Alexandru, Varbanescu, Ana Lucia, Wu, Hsiang-Yun, Yakovets, Nikolay, Yan, Da, Yoneki, Eiko
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 these a
Externí odkaz:
http://arxiv.org/abs/2012.06171
Publikováno v:
ACM Transactions on Parallel Computing (TOPC) 2020
Pattern matching is a fundamental tool for answering complex graph queries. Unfortunately, existing solutions have limited capabilities: they do not scale to process large graphs and/or support only a restricted set of search templates or usage scena
Externí odkaz:
http://arxiv.org/abs/1912.08453
In the face of large-scale automated social engineering attacks to large online services, fast detection and remediation of compromised accounts are crucial to limit the spread of new attacks and to mitigate the overall damage to users, companies, an
Externí odkaz:
http://arxiv.org/abs/1801.08629
Autor:
Santos-Neto, Elizeu, Figueiredo, Flavio, Oliveira, Nigini, Andrade, Nazareno, Almeida, Jussara, Ripeanu, Matei
Tagging is a popular feature that supports several collaborative tasks, including search, as tags produced by one user can help others finding relevant content. However, task performance depends on the existence of 'good' tags. A first step towards c
Externí odkaz:
http://arxiv.org/abs/1510.03004
Large scale-free graphs are famously difficult to process efficiently: the skewed vertex degree distribution makes it difficult to obtain balanced partitioning. Our research instead aims to turn this into an advantage by partitioning the workload to
Externí odkaz:
http://arxiv.org/abs/1503.04359
Graphs are widespread data structures used to model a wide variety of problems. The sheer amount of data to be processed has prompted the creation of a myriad of systems that help us cope with massive scale graphs. The pressure to deliver fast respon
Externí odkaz:
http://arxiv.org/abs/1410.1903
Autor:
Gharaibeh, Abdullah, Reza, Tahsin, Santos-Neto, Elizeu, Costa, Lauro Beltrao, Sallinen, Scott, Ripeanu, Matei
The increasing scale and wealth of inter-connected data, such as those accrued by social network applications, demand the design of new techniques and platforms to efficiently derive actionable knowledge from large-scale graphs. However, real-world g
Externí odkaz:
http://arxiv.org/abs/1312.3018
Autor:
Costa, Lauro Beltrão, Barros, Abmar, Al-Kiswany, Samer, Yang, Hao, Vairavanathan, Emalayan, Ripeanu, Matei
Configuring a storage system to better serve an application is a challenging task complicated by a multidimensional, discrete configuration space and the high cost of space exploration (e.g., by running the application with different storage configur
Externí odkaz:
http://arxiv.org/abs/1302.4760
This paper proposes using file system custom metadata as a bidirectional communication channel between applications and the storage system. This channel can be used to pass hints that enable cross-layer optimizations, an option hindered today by the
Externí odkaz:
http://arxiv.org/abs/1301.6195