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computer Systems Architecture Conference (ACSAC), Australasian

作者： Chao-Tung Yang Yao-Chun Chi Ming-Feng Yang Ching-Hsien Hsu High-Performance Computing Laboratory Department ofComputer Science and Information Engineering Tunghai University Taichung Taiwan Department of Computer Science and Information Engineering Chung Hua University Hsinchu Taiwan

In data grids, co-allocation architectures were developed to enable parallel downloads of datasets from selected replica servers. As Internet is usually the underlying network of a grid, network bandwidth plays as the key factor affecting file transfers between clients and servers. In this paradigm, there are still some challenges which need to be solved, such as to reduce differences in finish times between selected replica servers; to avoid traffic congestion resulting from transferring the same blocks in different links among servers and clients; and to manage network performance variations among parallel transfers. In this paper, we propose the anticipative recursively-adjusting mechanism (ARAM) scheme to adjust the workloads on selected replica servers and handle unpredictable variations in network performance by those servers. Our algorithm is based on using the finish rates of previously assigned transfers to anticipate the bandwidth status for next section in order to adjust workloads, and to reduce file transfer times in grid environments. Our approach is useful in grid environments with unstable network link. It not only reduces idle time wasted waiting for the slowest server, but also decreases file transfer completion times.

关键词： Servers Bandwidth Distributed databases Load management Resource management File servers Internet

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Incentive-Scheduling Algorithms to Provide Green Computational Data Center

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SN computer science 2021年第4期2卷 252页

作者： Haruna, Ahmed Abba Jung, Low Tan Arputharaj, Vijay Muhammad, L.J. College of Computer Science and Engineering University of Hafr Al Batin Al Jamiah Hafar Al Batin 39524d Saudi Arabia High Performance Computing Cloud Centre Universiti Teknologi PETRONAS Seri Iskandar Perak 32610 Malaysia Faculty of Science and Information Technology Skyline University Nigeria No. 2 Zaria Road Kano Nigeria Mathematics and Computer Science Department Federal University Kashere Gombe State Kashere Nigeria

The increased computational loads in grid servers are dissipating more heat to eventually amplifies the cooling demand in the data center (DC). This can lead to more submitted jobs missing their job completion deadlines. Unfortunately, the conventional DC job scheduling approaches do not provide compensation to the resource users on their submitted jobs that missed the deadlines. The absence of compensation may dissuade users from submitting jobs to the DCs. While the free air-cooling strategy is used elsewhere, it is not generally applicable in tropical countries such as Malaysia. A constant artificial cooling (air conditioning) is needed to sustain the DC long-hour operation. To solve this issue in the tropical region, green incentive-scheduling algorithms were devised to significantly save the cooling electricity consumption cost in DC and to be able to compensate users (as an incentive) for their submitted jobs that missed the job completion deadline(s). However, there is a need to further analyse the performance of the proposed green incentive-scheduling algorithms using a different benchmark traces file and to conduct a cost-saving comparison analysis between the green incentive-scheduling and the non-green incentive-scheduling algorithms. Therefore, this paper's authors observed and analysed the performance comparison of the proposed green incentive-based job scheduling algorithms using a benchmark traces file and conducted a cost-saving comparison analysis between the green incentive and the non-green incentive-based scheduling algorithms. Ultimately, the green incentive-scheduling algorithms are to show their impact on reducing the DC operation costs (e.g. electricity bills for cooling) and to provide fair compensation to grid users for a win–win situation. © 2021, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.

关键词： Data center Green computing Incentive-based job scheduling algorithm Server Temperature

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ON THE SCAlabILITY OF ON-DEMAND ROUTING PROTOCOLS FOR MOBILE AD HOC NETWORKS: AN ANALYTICAL STUDY

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Journal of Interconnection Networks 2001年第1期2卷 5-29页

作者： IONUŢ D. ARON SANDEEP K. S. GUPTA High Performance Computing Group Compaq Computer Corporation 110 Spit Brook Road Nashua NH 03062 USA Department of Computer Science and Engineering Arizona State University Tempe AZ 85287-5406 USA

Wireless systems, and mobile ad hoc networks in particular, are more likely to experience transmission and routing errors than their wired counterpart. Factors like the lack of infrastructure, node mobility, and random radio link quality can contribute to significantly higher error rates in these networks. In addition, errors have a more serious impact on the network's resources, due to limitations in bandwidth and battery power inherent to the wireless ad hoc environment. This further complicates the task of designing scalable routing protocols, since larger networks are likely to experience even more errors, which may lead to slower convergence, longer end-to-end delay and unnacceptably high number of retransmissions. In this paper, we focus on the impact of error prevention and recovery on the scaling properties of on-demand protocols for ad hoc networks. Our analytical study, based on the evaluation of the Witness Aided Routing (WAR) and the Dynamic Source Routing (DSR) protocols, shows that the lack of localized intervention in handling errors translates eventually into lack of scalability, both in terms of performance and resource consumption. As route length increases, the performance of DSR degrades dramatically, especially in the presence of fluctuating wireless link quality. Even for small routes, DSR's lack of an error handling mechanism leads to very low probability of success when there is a non-zero probability that links are not bidirectional. On the other hand, WAR remains relatively insensitive both to the length of the route and to variations in mobility and call rates, and has a higher tolerance to radio link instability. This indicates that lacalized error correction can increase route effectiveness and alleviate the effects of short-lived radio link problems to an extent that allows the protocol to scale with the network size.

关键词： Mobile Ad Hoc Networks Routing Protocols Scalability performance Analysis

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Extracting Light Energy from the Minor Surface Arc of an Electrically Pumped Elliptical Microcavity Laser

Extracting Light Energy from the Minor Surface Arc of an Ele...

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IEEE PhotonicsGlobal@Singapore, IPGC

作者： E. H. Khoo S. T. Ho Y. Huang I. Ahmed E. P. Li Advance Photonics and Plasmonics Institue of High Performance Computing Singapore Department of Electrical Engineering and Computer Science Northwestern University Evanston IL USA

In this paper, the efficiency of extracting light energy from the minor surface arc of the elliptical microcavity laser is investigated. The dynamic thermal equilibrium quantum medium FDTD (DTEQM-FDTD) model is used to simulate the field distribution and amplitude in the microcavity laser under electrical pumping. Light energy is extracted from the minor surface arc of the elliptical microcavity to a perpendicular waveguide. It is deduced from the field distribution that extraction efficiency of TM polarization is higher due to wider transverse field profile. Optimum light energy is extracted when the waveguide is 125 nm away from the edge of the elliptical minor arc. higher extraction efficiency is also obtained when the waveguide index is lower than the microcavity index. It is believed that this method of extracting light energy allows for smaller device size with higher power output for building photonic integrated circuit.

关键词： Surface emitting lasers Laser excitation Microcavities Pump lasers Laser modes Waveguide lasers Finite difference methods Time domain analysis Surface waves Optical polarization

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Precision Analysis of the Imaging Pipeline in the Square Kilometre Array

Precision Analysis of the Imaging Pipeline in the Square Kil...

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European Signal Processing Conference

作者： Anthony Griffin Nicolas Pradel Brody Radford David I. Wilson Andrew Ensor Electrical and Electronic Engineering Department Mathematical Sciences Department High Performance Computing Research Laboratory Computer Science Department Auckland University of Technology New Zealand

In this paper we present our end-to-end model of the imaging pipeline in the Square Kilometre Array. Our Sky Generator models the signals that are received by the Central Signal Processor (CSP), our CSP Correlator model then processes those signals to generate visibilities to pass to the science Data Processor (SDP). Our SDP Imaging model then grids the visibilities and inverse Fourier transforms them to produce a dirty image of the sky. Our modelling allows us to investigate the error that is introduced due to reduced numerical precision, and we then propose techniques to mitigate this error, and thus reduce the required amount of computational hardware.

关键词： Mathematical model Delays Antenna arrays Correlators Imaging Computational modeling

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Radial-waveguide-coupled micro-resonator lasers with unidirectional output

Radial-waveguide-coupled micro-resonator lasers with unidire...

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Frontiers in Optics, FiO 2009

作者： Ou, Fang Li, Xiangyu Liu, Boyang Huang, Yingyan Khoo, Eng-Huat Li, Er-Ping Ahmed, Iftikhar Wang, Qian Ho, Seng-Tiong Department of Electrical Engineering and Computer Science Northwestern University Evanston IL 60208 United States Data Storage Institute 5 Engineering Drive 1 Singapore 11760 Singapore OptoNet Inc. Evanston IL 60201 United States Institue of High Performance Computing 1 Fusionopolis Connexis Singapore 138632 Singapore

We demonstrate single-directional output coupling of light from micro-resonator laser using a radially placed waveguide based on a new enhanced-radiation-loss output coupling mechanism. The 20μm-diameter electrically... 详细信息

ISBN: (纸本)9781557528780

关键词： Pumping (laser)

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Linear formulation for the design of elastic optical networks with squeezing protection and shared risk link group: Invited Paper 22

Linear formulation for the design of elastic optical network...

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22nd International Conference on Transparent Optical Networks, ICTON 2020

作者： Assis, K.D.R. Almeida, Jr. Waldman, H. Reed, M.J. Jaumard, B. Simeonidou, D. Universidade Federal da Bahia UFBA Electrical Engineering Department Brazil Universidade Federal de Pernambuco UFPE Electronic Engineering Department Brazil Universidade Estadual de Campinas UNICAMP Communications Department Brazil School of Computer Science and Electronic Engineering University of Essex United Kingdom Concordia University Computer Science and Software Engineering Department CA United States High Performance Networks Group and Smart Internet Lab University of Bristol United Kingdom

ISBN: (纸本)9781728184234

Survivability is an important component in the requirements in elastic optical networks (EONs). We examine here the significance of network survivability design against multiple-link failures under dedicated protection, shared risk link group (SRLG) and bandwidth squeezing schemes. The proposed mixed integer linear programming (MILP) formulation seeks to derive some different types of protection considering routing, spectrum assignment, grooming, modulation format as well as shared risk link group constraints. The proposed MILP provides efficient survivability results and resource savings (in terms of spectrum) for a full design of modern EONs. © 2020 IEEE.

关键词： Integer programming

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A Peer-to-Peer Resource Sharing System with Data Grid Technology for Mobile Devices

A Peer-to-Peer Resource Sharing System with Data Grid Techno...

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International Conference on Multimedia and Ubiquitous engineering (MUE)

作者： Chao-Tung Yang Chun-Jen Chen Ching-Hsien Hsu High-Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung Taiwan Information Engineering Chung Hua University Hsinchu Taiwan

Increases in mobile device processing power, storage capacity, and connectivity in recent years have led to a rapid rise in mobile device use. But mobile users face challenges in making connections with other users in order to share resources. To address this issue, we propose an architecture that uses peer-to-peer protocol to establish a resource sharing platform for mobile devices, combined with a data grid to help analyze and classify resources.

关键词： Peer to peer computing Resource management Mobile computing Protocols Grid computing computer science Data engineering Wireless networks Internet Open source software

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Implementation of a Cyber Transformer for Parallel Download in Co-allocation Data Grid Environments

Implementation of a Cyber Transformer for Parallel Download ...

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第七届网格与协同计算国际会议(Seventh International Conference on Grid and Cooperative computing GCC 2008)

作者： Ming-Feng Yang Chao-Tung Yang Wen-Chung Chiang High-Performance Computing Laboratory Department of Computer Science and Information Engineering Tun Department of Information Networking Technology Hsiuping Institute of Technology Taichung County T

ISBN: (纸本)9781424432806

In data grid, co-allocation architecture was developed to enable parallel transferring of files from multiple replicas stored in the different servers. Several dynamic file transfer strategies based on coallocation model have been proposed and used to exploit the different transfer rates among various client-server links and to address dynamic rate fluctuations by dividing files into multiple blocks of equal sizes. These schemes, which used for concurrently downloading a file from multiple replicas stored in multiple servers, overcome the obstacle of transfer performance due to idle waiting time of faster servers in co-allocation based file transfers and therefore, provide reduced file transfer time. In this paper, a tool with user friendly interface, called Cyber Transformer, is implemented and used to manage file replications and download files on data grid environments in parallel. This tool integrates eight methods including the previous and our proposed algorithms. Experimental results show that Cyber Transformer can obtain high-performance file transfer speed and reduce the time cost of parallel download.

关键词： Web server Network servers Environmental management Distributed computing Bandwidth Internet Grid computing File servers Resource management computer networks

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Segment Anything Model-guided Collaborative Learning Network for Scribble-supervised Polyp Segmentation

arXiv

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arXiv 2023年

作者： Zhao, Yiming Zhou, Tao Gu, Yunqi Zhou, Yi Zhang, Yizhe Wu, Ye Fu, Huazhu PCA Lab The School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing210094 China The School of Computer Science and Engineering Southeast University Nanjing211189 China The Institute of High Performance Computing A*STAR Singapore

Polyp segmentation plays a vital role in accurately locating polyps at an early stage, which holds significant clinical importance for the prevention of colorectal cancer. Various polyp segmentation methods have been developed using fully-supervised deep learning techniques. However, pixel-wise annotation for polyp images by physicians during the diagnosis is both time-consuming and expensive. Moreover, visual foundation models such as the Segment Anything Model (SAM) have shown remarkable performance. Nevertheless, directly applying SAM to medical segmentation may not produce satisfactory results due to the inherent absence of medical knowledge. In this paper, we propose a novel SAM-guided Collaborative Learning Network (SAM-CLNet) for scribble-supervised polyp segmentation, enabling a collaborative learning process between our segmentation network and SAM to boost the model performance. Specifically, we first propose a Cross-level Enhancement and Aggregation Network (CEA-Net) for weakly-supervised polyp segmentation. Within CEA-Net, we propose a Cross-level Enhancement Module (CEM) that integrates the adjacent features to enhance the representation capabilities of different resolution features. Additionally, a Feature Aggregation Module (FAM) is employed to capture richer features across multiple levels. Moreover, we present a box-augmentation strategy that combines the segmentation maps generated by CEA-Net with scribble annotations to create more precise prompts. These prompts are then fed into SAM, generating segmentation SAM-guided masks, which can provide additional supervision to train CEA-Net effectively. Furthermore, we present an Image-level Filtering Mechanism to filter out unreliable SAM-guided masks. Extensive experimental results show that our SAM-CLNet outperforms state-of-the-art weakly-supervised segmentation methods. Copyright © 2023, The Authors. All rights reserved.

关键词： Diagnosis

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