Zobrazeno 1 - 10
of 4 624
pro vyhledávání: '"Kostis, A."'
Autor:
Humphries, Jack Tigar, Natu, Neel, Kaffes, Kostis, Novaković, Stanko, Turner, Paul, Levy, Hank, Culler, David, Kozyrakis, Christos
The end of Moore's Law and the tightening performance requirements in today's clouds make re-architecting the software stack a necessity. To address this, cloud providers and vendors offload the virtualization control plane and data plane, along with
Externí odkaz:
http://arxiv.org/abs/2408.17351
Autor:
Chalkias, Kostas Kryptos, Kostis, Angelos, Alnuaimi, Ali, Knez, Peter, Naulty, John, Salmasi, Allen, Servatius, Ryan, Veloso, Rodrigo
In the contemporary era, biodiversity conservation emerges as a paramount challenge, necessitating innovative approaches to monitoring, preserving, and enhancing the natural world. This paper explores the integration of blockchain technology in biodi
Externí odkaz:
http://arxiv.org/abs/2404.12086
Autor:
Bach, Benjamin, Chevalier, Fanny, Kostis, Helen-Nicole, Subbaro, Mark, Jansen, Yvonne, Soden, Robert
This first workshop on visualization for climate action and sustainability aims to explore and consolidate the role of data visualization in accelerating action towards addressing the current environmental crisis. Given the urgency and impact of the
Externí odkaz:
http://arxiv.org/abs/2404.02743
Serverless computing relieves developers from the burden of resource management, thus providing ease-of-use to the users and the opportunity to optimize resource utilization for the providers. However, today's serverless systems lack performance guar
Externí odkaz:
http://arxiv.org/abs/2401.08859
Autor:
Zarkadas, Ioannis, Zussman, Tal, Carin, Jeremy, Jiang, Sheng, Zhong, Yuhong, Pfefferle, Jonas, Franke, Hubertus, Yang, Junfeng, Kaffes, Kostis, Stutsman, Ryan, Cidon, Asaf
Storage disaggregation, wherein storage is accessed over the network, is popular because it allows applications to independently scale storage capacity and bandwidth based on dynamic application demand. However, the added network processing introduce
Externí odkaz:
http://arxiv.org/abs/2312.06808
Machine learning models trained on sensitive or private data can inadvertently memorize and leak that information. Machine unlearning seeks to retroactively remove such details from model weights to protect privacy. We contribute a lightweight unlear
Externí odkaz:
http://arxiv.org/abs/2311.10448
Autor:
Lisa, Li, Lazarev, Nikita, Koufaty, David, Yin, Yijun, Anderson, Andy, Zhang, Zhiru, Suh, Edward, Kaffes, Kostis, Delimitrou, Christina
Modern datacenter applications are prone to high tail latencies since their requests typically follow highly-dispersive distributions. Delivering fast interrupts is essential to reducing tail latency. Prior work has proposed both OS- and system-level
Externí odkaz:
http://arxiv.org/abs/2308.02896
Autor:
Gourgoulias, Kostis, Ghalyan, Najah, Labonne, Maxime, Satsangi, Yash, Moran, Sean, Sabelja, Joseph
This paper introduces an unsupervised method to estimate the class separability of text datasets from a topological point of view. Using persistent homology, we demonstrate how tracking the evolution of embedding manifolds during training can inform
Externí odkaz:
http://arxiv.org/abs/2305.15016
Autor:
Kraft, Peter, Li, Qian, Kaffes, Kostis, Skiadopoulos, Athinagoras, Kumar, Deeptaanshu, Cho, Danny, Li, Jason, Redmond, Robert, Weckwerth, Nathan, Xia, Brian, Bailis, Peter, Cafarella, Michael, Graefe, Goetz, Kepner, Jeremy, Kozyrakis, Christos, Stonebraker, Michael, Suresh, Lalith, Yu, Xiangyao, Zaharia, Matei
Developers increasingly use function-as-a-service (FaaS) platforms for data-centric applications that perform low-latency and transactional operations on data, such as for microservices or web serving. Unfortunately, existing FaaS platforms support t
Externí odkaz:
http://arxiv.org/abs/2208.13068
Autor:
Holmström, Jonny, Kostis, Angelos, Galariotis, Emilios, Roubaud, David, Zopounidis, Constantin
Publikováno v:
In Industrial Marketing Management August 2024 121:16-26