2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST)最新文献_第7页

On the Fairness of DCTCP and CUBIC in Cloud Data Center Networks 论云数据中心网络中DCTCP和CUBIC的公平性

2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST) Pub Date : 2021-07-05 DOI: 10.1109/MOCAST52088.2021.9493352

Konstantinos G. Tsiknas, Paraskevas I. Aidinidis, K. Zoiros

{"title":"On the Fairness of DCTCP and CUBIC in Cloud Data Center Networks","authors":"Konstantinos G. Tsiknas, Paraskevas I. Aidinidis, K. Zoiros","doi":"10.1109/MOCAST52088.2021.9493352","DOIUrl":"https://doi.org/10.1109/MOCAST52088.2021.9493352","url":null,"abstract":"Data center networks (DCNs) hold a key role in information industry as the infrastructure for hosting cloud data services and related applications. The increasing number of customers using cloud services sets, however, new challenges for the efficient management of the DCN traffic handled by the transport protocols. TCP is adapted as the main transport control protocol in DCNs, but the standard congestion control algorithm it employs has been found to be very inefficient in providing a fair sharing of the available channel capacity among the competing DCN traffic flows. DCTCP and CUBIC are two promising TCP variants designed to resolve the fairness issues identified in these environments. In this paper, we evaluate the fairness properties of these two TCP variants in comparison to the conventional TCP Reno with the use of network simulator 3 (ns-3) in realistic DCN scenarios. Our results show that DTCP improves substantially the fairness properties of TCP, but it requires more buffer space for large number of flows; it also requires the intermediate switches to be Explicit Congestion Notification (ECN)-aware. CUBIC achieves very low queue occupancies, but it demonstrates low fairness when a large and a small set of flows compete at the output port of a bottleneck switch (TCP Outcast issue).","PeriodicalId":146990,"journal":{"name":"2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126135381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Studying the impacts of loop unrolling and pipeline in the FPGA design of the Simon and RoadRunneR lightweght ciphers 研究了环展开和流水线对Simon和RoadRunneR轻量级密码FPGA设计的影响

2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST) Pub Date : 2021-07-05 DOI: 10.1109/MOCAST52088.2021.9493376

G. Georgiou, G. Theodoridis

引用次数: 0

Darknet Traffic Classification using Machine Learning Techniques 使用机器学习技术的暗网流量分类

2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST) Pub Date : 2021-07-05 DOI: 10.1109/MOCAST52088.2021.9493386

L. Iliadis, T. Kaifas

引用次数: 21

ApproxQAM: High-Order QAM Demodulation Circuits with Approximate Arithmetic 近似算法的高阶QAM解调电路

2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST) Pub Date : 2021-07-05 DOI: 10.1109/MOCAST52088.2021.9493421

Vasileios Leon, I. Stratakos, Giorgos Armeniakos, G. Lentaris, D. Soudris

{"title":"ApproxQAM: High-Order QAM Demodulation Circuits with Approximate Arithmetic","authors":"Vasileios Leon, I. Stratakos, Giorgos Armeniakos, G. Lentaris, D. Soudris","doi":"10.1109/MOCAST52088.2021.9493421","DOIUrl":"https://doi.org/10.1109/MOCAST52088.2021.9493421","url":null,"abstract":"Modern mobile communication systems utilize increased bandwidth to provide advanced network performance and connectivity, all while their most computationally-intensive functions must be accelerated within the limited power envelope of embedded devices. In this paper, we improve the circuit complexity and throughput of a key digital function in the baseband processing chain, namely the high-order QAM demodulation. In particular, we explore 4 different demodulation algorithms, we employ both floating- and fixed-point arithmetic, and we insert approximations in the arithmetic units. In terms of accuracy of our most prominent implementations, i.e., for 64-QAM, our designs deliver BER values ranging from 10−1 to 10−4 for SNR 0−14dB. In terms of FPGA resources on Xilinx ZCU106, these 64-QAM designs achieve up to 98% reduction in LUT utilization compared to the accurate floating-point model of the same algorithm, and up to 122% increase in operating frequency. When targeting demodulation with high levels of accuracy, i.e., almost zero BER degradation with respect to that of the original floating-point model, the prevailing solution is the Approximate LLR algorithm configured with fixed-point arithmetic and 8-bit truncation, providing 81% decrease in LUTs and 13% increase in frequency to sustain a throughput of 323 Msamples/second.","PeriodicalId":146990,"journal":{"name":"2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"418 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117332439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Acoustic leak localization method based on signal segmentation and statistical analysis 基于信号分割和统计分析的声泄漏定位方法

2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST) Pub Date : 2021-07-05 DOI: 10.1109/MOCAST52088.2021.9493349

Georgios-Panagiotis Kousiopoulos, N. Karagiorgos, D. Kampelopoulos, V. Konstantakos, S. Nikolaidis

{"title":"Acoustic leak localization method based on signal segmentation and statistical analysis","authors":"Georgios-Panagiotis Kousiopoulos, N. Karagiorgos, D. Kampelopoulos, V. Konstantakos, S. Nikolaidis","doi":"10.1109/MOCAST52088.2021.9493349","DOIUrl":"https://doi.org/10.1109/MOCAST52088.2021.9493349","url":null,"abstract":"One of the most serious problems occurring in a pipeline network is the appearance of leaks. The process of detecting and localizing leaks in pipeline systems concerns a very extensive field of signal processing methods employed for this matter. In this paper a leak localization method combining the segmentation of acoustic leak signals, both in the time and in the frequency domain, with a statistical algorithm needed for dealing with the non-deterministic (stochastic) nature of these signals is proposed. This algorithm involves the use of cross-correlation techniques along with the grouping of the time-delay data in a histogram and selecting the bin with the largest number of elements as the one that provides the correct answer. The successful detection of the leak position requires the knowledge of the acoustic wave velocity in the pipe. In the present paper the calculation of the acoustic velocity is performed by the use of a PCB hammer to cover more realistic situations. The proposed leak localization method is tested experimentally in a laboratory setup containing a 67-meter steel pipeline and the results show that the presented method can localize leaks efficiently, since the average localization error is around 3%.","PeriodicalId":146990,"journal":{"name":"2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124409573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Simplified Model of Tantalum Oxide Based Memristor and Application in Memory Crossbars 氧化钽基忆阻器的简化模型及其在记忆栅中的应用

2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST) Pub Date : 2021-07-05 DOI: 10.1109/MOCAST52088.2021.9493384

V. Mladenov, S. Kirilov

引用次数: 4

iPONICS: IoT Monitoring and Control for Hydroponics iPONICS:水培物联网监测与控制

2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST) Pub Date : 2021-07-05 DOI: 10.1109/MOCAST52088.2021.9493387

K. Tatas, Ahmad Al-Zoubi, A. Antoniou, D. Zolotareva

引用次数: 9

Using Genetic Algorithms to Optimize the Instruction-Set Encoding on Processor Cores 利用遗传算法优化处理器核心上的指令集编码

2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST) Pub Date : 2021-07-05 DOI: 10.1109/MOCAST52088.2021.9493406

M. Weißbrich, Javier Andrés Moreno-Medina, G. P. Vayá

{"title":"Using Genetic Algorithms to Optimize the Instruction-Set Encoding on Processor Cores","authors":"M. Weißbrich, Javier Andrés Moreno-Medina, G. P. Vayá","doi":"10.1109/MOCAST52088.2021.9493406","DOIUrl":"https://doi.org/10.1109/MOCAST52088.2021.9493406","url":null,"abstract":"An optimized instruction-set encoding can reduce the silicon area and power consumption of a processor architecture implementation. However, the design space of the input encoding problem is of factorial growth with the number of instruction patterns, so effective heuristics and an automated exploration tool are required to facilitate instruction-set encoding optimization in a processor design flow. This paper proposes a novel approach based on genetic algorithms to automatically optimize the instruction-set encoding of a specific processor architecture, reducing the silicon area and power consumption requirements for specific applications and hardware implementation technologies. Furthermore, an open-source tool, called VANAGA, is presented, which implements the proposed approach and allows flexible adaptation to custom instruction-set optimization scenarios. The tool flow is evaluated with an exemplary 65 nm standard cell ASIC implementation of a minimal controller architecture with 4-bit wide opcodes (NanoController). For different optimization scenarios, logic silicon area and total power consumption vary within a design space range of 6.3% and 0.46% for different instruction-set encodings, respectively.","PeriodicalId":146990,"journal":{"name":"2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"19 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130429594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Comparing Machine Learning Methods for Air-to-Ground Path Loss Prediction 空对地路径损失预测的机器学习方法比较

2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST) Pub Date : 2021-07-05 DOI: 10.1109/MOCAST52088.2021.9493374

G. Vergos, S. Sotiroudis, G. Athanasiadou, G. Tsoulos, S. Goudos

引用次数: 1

On the Realization of Power-Law Based Impedance Functions: Application to Edible Drinks 基于幂律的阻抗函数的实现:在食用饮料中的应用

2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST) Pub Date : 2021-07-05 DOI: 10.1109/MOCAST52088.2021.9493343

S. Kapoulea, C. Psychalinos, A. Elwakil

引用次数: 0