Mitigating False Positives in Filters: to Adapt or to Cache?
A filter is adaptive if it achieves a false positive rate of∊ on each query independently of the
answers to previous queries. Many popular filters such as Bloom filters are not adaptive—an …
answers to previous queries. Many popular filters such as Bloom filters are not adaptive—an …
Model and machine learning based caching and routing algorithms for cache-enabled networks
A Kulkarni, A Seetharam - arXiv preprint arXiv:2004.06787, 2020 - arxiv.org
In-network caching is likely to become an integral part of various networked systems (eg, 5G
networks, LPWAN and IoT systems) in the near future. In this paper, we compare and …
networks, LPWAN and IoT systems) in the near future. In this paper, we compare and …
Optimal cache budget distribution for hierarchical ICN networks
A Montazeri, D Makaroff - … on Innovation in Clouds, Internet and …, 2019 - ieeexplore.ieee.org
Caching facilities can be deployed by all or some of the ICN nodes on the path of delivering
data items from a content source to users. However, some inconsistent conclusions have …
data items from a content source to users. However, some inconsistent conclusions have …
Model-Based and Machine Learning Approaches for Future Internet Systems
A Kulkarni - 2020 - search.proquest.com
Abstract Internet-of-things (IoT) is one of the fundamental technologies of the Future Internet.
With popularity of IoT, the number of devices connected to the Internet has grown profusely …
With popularity of IoT, the number of devices connected to the Internet has grown profusely …
Model-Based and Machine Learning Approaches for Designing Caching and Routing Algorithms
A Kulkarni, A Seetharam - Ad Hoc Networks: 12th EAI International …, 2021 - Springer
In this paper, we compare and contrast model-based and machine learning approaches for
designing caching and routing strategies to improve cache network performance (eg, delay …
designing caching and routing strategies to improve cache network performance (eg, delay …