Zobrazeno 1 - 10
of 5 816
pro vyhledávání: '"Performance (cs.PF)"'
Publikováno v:
Stochastic Systems. 13(2):211-246
Consider a service system where incoming tasks are instantaneously dispatched to one out of many heterogeneous server pools. Associated with each server pool is a concave utility function which depends on the class of the server pool and its current
Publikováno v:
Wireless Personal Communications. 129:2319-2344
Wireless Mesh Network (WMN) is surely one of the prominent networks in the modern era which is widely used in numerous evolving applications, viz. broadband home networking (BHN), community and neighbourhood networks (CNN), coordinated network manage
Publikováno v:
Mathematical Methods of Operations Research
Mathematical Methods of Operations Research, 2023, ⟨10.1007/s00186-023-00821-4⟩
Mathematical Methods of Operations Research, 2023, ⟨10.1007/s00186-023-00821-4⟩
Whittle index is a generalization of Gittins index that provides very efficient allocation rules for restless multi-armed bandits. In this work, we develop an algorithm to test the indexability and compute the Whittle indices of any finite-state rest
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92be1160df12f840df15c422b50edf9d
https://inria.hal.science/hal-03602458v5/document
https://inria.hal.science/hal-03602458v5/document
Autor:
Sebastian Allmeier, Nicolas Gast
Publikováno v:
Proceedings of the ACM on Measurement and Analysis of Computing Systems
Proceedings of the ACM on Measurement and Analysis of Computing Systems, 2023, 7 (1), pp.1-29. ⟨10.1145/3579336⟩
Proceedings of the ACM on Measurement and Analysis of Computing Systems, 2023, 7 (1), pp.1-29. ⟨10.1145/3579336⟩
Mean field approximation is a powerful technique which has been used in many settings to study large-scale stochastic systems. In the case of two-timescale systems, the approximation is obtained by a combination of scaling arguments and the use of th
Publikováno v:
IEEE Transactions on Cloud Computing. 11:470-483
We propose a flexible low complexity design (FLCD) of coded distributed computing (CDC) with empirical evaluation on Amazon Elastic Compute Cloud (Amazon EC2). CDC can expedite MapReduce like computation by trading increased map computations to reduc
Publikováno v:
IEEE Network. :1-8
Hyperledger Fabric (HLF), one of the most popular private blockchains, has recently received attention for blockchain-enabled Internet of Things (IoT). However, for IoT applications to handle time-sensitive data, the processing latency in HLF has eme
Publikováno v:
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Evolutionary Computation, 2022, 26 (6), pp.1293--1305. ⟨10.1109/TEVC.2022.3210897⟩
IEEE Transactions on Evolutionary Computation, 2022, 26 (6), pp.1293--1305. ⟨10.1109/TEVC.2022.3210897⟩
open access; International audience; We present concepts and recipes for the anytime performance assessment when benchmarking optimization algorithms in a blackbox scenario. We consider runtime-oftentimes measured in number of blackbox evaluations ne
Publikováno v:
IEEE Journal on Selected Areas in Communications. 40:3685-3701
Directed Acyclic Graph (DAG) is a popular approach to achieve scalability of blockchain networks. Due to its high efficiency in data communication and great scalability, DAG has been widely adopted in many applications such as Internet of Things (IoT
Autor:
Kang, Hongbo, Zhao, Yiwei, Blelloch, Guy E., Dhulipala, Laxman, Gu, Yan, McGuffey, Charles, Gibbons, Phillip B.
Publikováno v:
Proceedings of the VLDB Endowment. 16:946-958
The performance of today's in-memory indexes is bottlenecked by the memory latency/bandwidth wall. Processing-in-memory (PIM) is an emerging approach that potentially mitigates this bottleneck, by enabling low-latency memory access whose aggregate me
Publikováno v:
Web of Science
ACM SIGMETRICS /IFIP Performance 2022
ACM SIGMETRICS /IFIP Performance 2022
The operational cost of a cloud computing platform is one of the most significant Quality of Service (QoS) criteria for schedulers, crucial to keep up with the growing computational demands. Several data-driven deep neural network (DNN)-based schedul