Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Soamar Homsi"'
Publikováno v:
IEEE Access, Vol 12, Pp 159952-159965 (2024)
Collaborative Deep Neural Network Inference (CDNN) has emerged as one of the significant strategies for efficient and lightweight computation on resource-constrained devices (like drones), especially in the case of adverse events like natural disaste
Externí odkaz:
https://doaj.org/article/3a7b49454cc64688a78fc297d37e3fb4
Autor:
Suxia, Cui, Soamar, Homsi
Publikováno v:
Artificial Intelligence Annual Volume 2022 ISBN: 9781837689460
Artificial Intelligence Annual Volume 2022
Artificial Intelligence Annual Volume 2022
Cloud computing brings convenience and cost efficiency to users, but multiplexing virtual machines (VMs) on a single physical machine (PM) results in various cybersecurity risks. For example, a co-resident attack could occur when malicious VMs use sh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d9b1f19bebd688b07fb185ab8ceac14
https://doi.org/10.5772/intechopen.105991
https://doi.org/10.5772/intechopen.105991
Publikováno v:
LCN
With the increasing interest in Secure Multi-Party Computation protocols (MPC), there have been several works such as the SPDZ1 protocol that tackled this problem under a malicious security with dishonest majority attack model. However, most of these
Publikováno v:
ACM Transactions on Embedded Computing Systems. 16:1-21
The uncertainty due to performance variations of IC chips and resource sharing on multi-core platforms have significantly degraded the predictability of real-time systems. Traditional deterministic approaches based on the worst-case assumptions becom
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 28:2103-2116
Cloud data centers are widely employed to offer reliable cloud services. However, low resource utilization and high power consumption have been great challenges for cloud providers. Moreover, the rapid increase in demand for affordable cloud services
Publikováno v:
Proceedings of the Future Technologies Conference (FTC) 2018 ISBN: 9783030026820
It is a common practice that public clouds adopt Virtual Machine (VM) multiplexing to improve resource usage and energy consumption. However, packing multiple VMs of different security requirements into a single hypervisor gives rise to major cyberse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0704f5e7a7f165d35ee9fd2d056efe4
https://doi.org/10.1007/978-3-030-02683-7_18
https://doi.org/10.1007/978-3-030-02683-7_18
Publikováno v:
IGSC
Designing 3D systems with on-chip DRAM is a promising solution to improve memory bandwidth and reduce memory access latency. However, 3D chips exacerbate the chip thermal problem due to their longer heat dissipation path, as well as the tight thermal
Publikováno v:
ISQED
The increase in power density for both the CPU and memory systems makes the implementation of effective thermal management mechanisms that can deal with the heat generated not only from CPU but also from memory necessary. While many thermal managemen
Autor:
Shangping Ren, Omara Vichot, Gang Quan, Gustavo A. Chaparro-Baquero, Soamar Homsi, Shaolei Ren
Publikováno v:
ICCD
The increased resource sharing on multi-core platforms has posed significant challenges on the predictability of real-time systems. Cache memory partitioning has proven to be one of the most effective methods to improve the predictability and also th
Publikováno v:
ICPADS
Web applications grow tremendously in both scale and scope, the application patterns turn to be more and more sophisticated. It is important but challenging for service providers to lower the operational costs without degrading user experiences, espe