Zobrazeno 1 - 10
of 204
pro vyhledávání: '"Mortier, Richard"'
Software services are increasingly migrating to the cloud, requiring trust in actors with direct access to the hardware, software and data comprising the service. A distributed datastore storing critical data sits at the core of many services; a prim
Externí odkaz:
http://arxiv.org/abs/2407.12623
Application tail latency is a key metric for many services, with high latencies being linked directly to loss of revenue. Modern deeply-nested micro-service architectures exacerbate tail latencies, increasing the likelihood of users experiencing them
Externí odkaz:
http://arxiv.org/abs/2407.11582
The rapid adoption of large language models (LLMs) has led to significant advances in natural language processing and text generation. However, the energy consumed through LLM model inference remains a major challenge for sustainable AI deployment. T
Externí odkaz:
http://arxiv.org/abs/2407.04014
Both the training and use of Large Language Models (LLMs) require large amounts of energy. Their increasing popularity, therefore, raises critical concerns regarding the energy efficiency and sustainability of data centers that host them. This paper
Externí odkaz:
http://arxiv.org/abs/2407.00010
Autor:
Perez, Iker, Wong, Jason, Skalski, Piotr, Burrell, Stuart, Mortier, Richard, McAuley, Derek, Sutton, David
Global financial crime activity is driving demand for machine learning solutions in fraud prevention. However, prevention systems are commonly serviced to financial institutions in isolation, and few provisions exist for data sharing due to fears of
Externí odkaz:
http://arxiv.org/abs/2401.02450
Autor:
Wilkins, Grant, Di, Sheng, Calhoun, Jon C., Li, Zilinghan, Kim, Kibaek, Underwood, Robert, Mortier, Richard, Cappello, Franck
With the promise of federated learning (FL) to allow for geographically-distributed and highly personalized services, the efficient exchange of model updates between clients and servers becomes crucial. FL, though decentralized, often faces communica
Externí odkaz:
http://arxiv.org/abs/2312.13461
In the edge environment servers are no longer being co-located away from clients, instead they are being co-located with clients away from other servers, focusing on reliable and performant operation. Orchestration platforms, such as Kubernetes, are
Externí odkaz:
http://arxiv.org/abs/2311.09929
As the prevalence of Internet-of-Things (IoT) devices becomes more and more dominant, so too do the associated management and security challenges. One such challenge is the exploitation of vulnerable devices for recruitment into botnets, which can be
Externí odkaz:
http://arxiv.org/abs/2305.02186
Autor:
Brazauskas, Justas, Danish, Matt, Safronov, Vadim, Verma, Rohit, Mortier, Richard, Lewis, Ian
The report describes the digital architecture developed for the West Cambridge Digital Twin, particularly focussed on real-time sensor data collection and analysis with a privacy framework allowing occupants of the buildings to be first-class partici
Externí odkaz:
http://arxiv.org/abs/2209.15290
Eff the ineffable: on the uncommunicability of a conceptually simple contribution to HCI methodology
Given a simple concept that has the potential for a methodological contribution to the field of HCI, the constraints of submission conventions within the field may make it impossible to communicate the concept in a manner that is intelligible to the
Externí odkaz:
http://arxiv.org/abs/2203.16122