Zobrazeno 1 - 10
of 198
pro vyhledávání: '"KHONSARI, AHMAD"'
The robustness of human social networks against epidemic propagation relies on the propensity for physical contact adaptation. During the early phase of infection, asymptomatic carriers exhibit the same activity level as susceptible individuals, whic
Externí odkaz:
http://arxiv.org/abs/2403.00725
Information aging has gained prominence in characterizing communication protocols for timely remote estimation and control applications. This work proposes an Age of Information (AoI)-aware threshold-based dynamic frame slotted ALOHA (T-DFSA) for con
Externí odkaz:
http://arxiv.org/abs/2401.01424
Autor:
Kumar, Muthukrishnan Senthil, Dadlani, Aresh, Moradian, Masoumeh, Khonsari, Ahmad, Tsiftsis, Theodoros A.
The timeliness of status message delivery in communications networks is subjective to time-varying wireless channel transmissions. In this paper, we investigate the age of information (AoI) of each source in a multi-source M/G/1 queueing update syste
Externí odkaz:
http://arxiv.org/abs/2208.01619
Edge caching (EC) decreases the average access delay of the end-users through caching popular content at the edge network, however, it increases the leakage probability of valuable information such as users preferences. Most of the existing privacy-p
Externí odkaz:
http://arxiv.org/abs/2208.00297
Autor:
Chitsaz, Behzad, Khonsari, Ahmad, Moradian, Masoumeh, Dadlani, Aresh, Talebi, Mohammad Sadegh
Power management in multi-server data centers~especially at scale is a vital issue of increasing importance in cloud computing paradigm. Existing studies mostly consider thresholds on the number of idle servers to switch the servers on or off and suf
Externí odkaz:
http://arxiv.org/abs/2108.01292
Autor:
Kalimzhanov, Temirlan, Khamseh'i, Amir Haji Ali, Dadlani, Aresh, Kumar, Muthukrishnan Senthil, Khonsari, Ahmad
Prediction and control of spreading processes in social networks (SNs) are closely tied to the underlying connectivity patterns. Contrary to most existing efforts that exclusively focus on positive social user interactions, the impact of contagion pr
Externí odkaz:
http://arxiv.org/abs/2107.13437
Publikováno v:
In Computer Communications 1 June 2024 222:188-197
Autor:
Sheshjavani, Abdollah Ghaffari, Khonsari, Ahmad, Shariatpanahi, Seyed Pooya, Moradian, Masoumeh
Content caching is a widely studied technique aimed to reduce the network load imposed by data transmission during peak time while ensuring users' quality of experience. It has been shown that when there is a common link between caches and the server
Externí odkaz:
http://arxiv.org/abs/2105.03220
Autor:
Hojabr, Reza, Givaki, Kamyar, Pourahmadi, Kossar, Nooralinejad, Parsa, Khonsari, Ahmad, Rahmati, Dara, Najafi, M. Hassan
Publikováno v:
2020 IEEE International Symposium on Circuits and Systems (ISCAS), 2020, pp. 1-5
Emerging intelligent embedded devices rely on Deep Neural Networks (DNNs) to be able to interact with the real-world environment. This interaction comes with the ability to retrain DNNs, since environmental conditions change continuously in time. Sto
Externí odkaz:
http://arxiv.org/abs/2010.05197
Autor:
Givaki, Kamyar, Salami, Behzad, Hojabr, Reza, Tayaranian, S. M. Reza, Khonsari, Ahmad, Rahmati, Dara, Gorgin, Saeid, Cristal, Adrian, Unsal, Osman S.
Deep Neural Networks (DNNs) are inherently computation-intensive and also power-hungry. Hardware accelerators such as Field Programmable Gate Arrays (FPGAs) are a promising solution that can satisfy these requirements for both embedded and High-Perfo
Externí odkaz:
http://arxiv.org/abs/2001.00053