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24th IEEE international conference on parallel and distributed Systems (ICPADS)

作者： Chang, Xiaomin Li, Wei Xia, Chunqiu Ma, Jin Cao, Junwei Khan, Samee U. Zomaya, Albert Y. Univ Sydney Sch Informat Technol Ctr Distributed & High Performance Comp Sydney NSW Australia Univ Sydney Sch Elect & Informat Engn Sydney NSW Australia Tsinghua Univ Res Inst Informat Technol Beijing Peoples R China North Dakota State Univ Dept Elect & Comp Engn Fargo ND USA

ISBN: (纸本)9781538673089

there is a growing trend for engaging edge computing to help smart homes to improve the living comfort of residents. However, the rapidly rising interest in such deployments does not normally integrate with energy management schemes, which is a central issue that smart homes have to face. In this paper, we propose a unified energy management framework for enabling a sustainable edge computing paradigm while meeting the needs of home energy management and smart home applications. this framework aims to enable the full use of renewable energy while reducing electricity bills for households. A prototype system was implemented by using low-cost and easy-to-get hardware. the experiment results demonstrated that renewable energy is fully capable of supporting the reliable running of edge computing devices and electricity bills could be cut by up to 86% when our proposed framework was employed.

关键词： Internet of things Edge computing Smart Homes Renewable Energy Sustainable computing Scheduling Energy Management

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EXEM: Efficient XML data exchange management for mobile applications

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INFORMATION SYSTEMS FRONTIERS 2007年第4期9卷 439-448页

作者： Natchetoi, Yuri Wu, Huaigu Babin, Gilbert Dagtas, Serhan SAP Labs Montreal Montreal PQ H3C 2M1 Canada HEC Montreal Informat Technologies Montreal PQ H3T 2A7 Canada Univ Arkansas Little Rock AR 72204 USA

In the past decade, the number of mobile devices has increased significantly. these devices are in turn showing more computational capabilities. It is therefore possible to envision a near future where client applications may be deployed on these devices. there are, however, constraints that hinder this deployment, especially the limited communication bandwidth and storage space available. this paper describes the Efficient XML Data Exchange Manager (EXEM) that combines context-dependent lossy and lossless compression mechanisms used to support lightweight exchange of objects in XML format between server and client applications. the lossy compression mechanism reduces the size of XML messages by using known information about the application. the lossless compression mechanism decouples data and metadata (compression dictionary) content. We illustrate the use of EXEM with a prototype implementation of the lossless compression mechanism that shows the optimization of the available resources on the server and the mobile client. these experimental results demonstrate the efficiency of the EXEM approach for XML data exchange in the context of mobile application development.

关键词： XML compression lossy compression lossless compression mobile business applications

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Refactoring the Molecular Docking Simulation for Heterogeneous, Manycore Processors Systems 15

Refactoring the Molecular Docking Simulation for Heterogeneo...

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15th IEEE international Symposium on parallel and distributed Processing with applications (ISPA) / 16th IEEE international conference on Ubiquitous computing and Communications (IUCC)

作者： Chen, Junshi Lin, Han Liang, Weihao Yu, Yang Han, Wenting An, Hong Chen, Yong Liu, Xin Univ Sci & Technol China Sch Comp Sci & Technol Hefei Anhui Peoples R China Texas Tech Univ Dept Comp Sci Lubbock TX 79409 USA Natl Res Ctr Parallel Comp Engn & Technol Beijing Peoples R China

ISBN: (纸本)9781538637906

this paper presents a scalable design and implementation of the molecular docking application DOCK for a large-scale high performance computing system, the Sunway TaihuLight supercomputer, which provisions a heterogeneous, manycore processor architecture that consists of management processing elements (MPEs) and clusters of computing processing elements (CPEs). the key innovation is a novel refactoring of DOCK on the CPEs. Optimization techniques for data redundancy minimization to fit data in cache, software-controlled prefetching into scratchpads, memory access coalescing, software caches, vectorization and loop unrolling are employed to improve the exploitation of the computational resources. For a single docking process, the refactored version using both the MPE and CPE cluster achieved 260x to 402x speedup compared against the original ported version using MPE only. To scale the DOCK to the full Sunway Taihulight system with 10,649,600 cores (including all MPE and CPE cores), we present an MPI communication domain partition scheme as well. For docking 9 million small compounds to a Zika virus target protein, we manage to scale to 131,072 MPEs, and 8,388,608 CPEs, with a total of 8,519,680 cores.

关键词： molecular docking Sunway TaihuLight Supercomputer heterogeneous manycore optimization

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Improved genetic algorithms and list scheduling techniques for independent task scheduling in distributed systems

Improved genetic algorithms and list scheduling techniques f...

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8th international conference on parallel and distributed computing, applications and technologies

作者： Loukopoulos, thanasis Lampsas, Petros Sigalas, Panos Uni Thessaly Dept Comp & Commun Engn Glavani 37 Volos 38221 Greece Technol Educ Inst Lamia Dept Informat & Comp Technol Lamia G-35100 Greece

ISBN: (纸本)9780769530499

Given a set of tasks with certain characteristics, e.g., data size, estimated execution time and a set Of processing nodes with their own parameters, the goal of task scheduling is to allocate tasks at nodes so that the total makespan is minimized. the problem has been studied under various assumptions concerning task and node parameters with the resulting problem statements usually being NP-complete. List scheduling (LS) heuristics such as MaxMin and MinMin together with genetic algorithms (GAs) were applied in the past to find solutions. In this paper we investigate new heuristics for both the LS and the GA paradigm with the specific aim of improving the performance of the standard algorithms when task computations involve large data transfers. Experimental results under various environment assumptions illustrate the merits of the new algorithms.

关键词： Genetic algorithms

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A minimal Linux environment for High Performance computing systems

A minimal Linux environment for High Performance computing s...

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10th World Multi-conference on Systemics, Cybernetics and Informatics, WMSCI 2006, Jointly with the 12th international conference on Information Systems Analysis and Synthesis, ISAS 2006

作者： Laros III, James H. Segura, Cynthia Dauchy, Nathan Sandia National Laboratories Albuquerque NM 87123 United States High Performance Technologies Inc. Reston VA 20190 United States

ISBN: (纸本)980656068X

this paper describes the use of standard Linux® [1] and Open Source software to produce an environment to support parallel scientific applications on High Performance Computers (HPC). the goals of this approach are to maximize the HPC resources delivered to the application, to improve system stability and predictability, and to reduce software management burdens. the simplicity of this approach provides an additional benefit. the paper presents the reader with background, motivations, and a discussion of advantages and drawbacks of the light-os.

关键词： Linux

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WGMDS: A WSRF-compliant Information Service on Wireless Grids

WGMDS: A WSRF-compliant Information Service on Wireless Grid...

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6th international conference on parallel and distributed computing, applications and technologies (PDCAT 2005)

作者： Yang, JH Li, M Huang, CL Gao, CS Fudan Univ Dept Comp Sci & Engn Shanghai 200433 Peoples R China

ISBN: (纸本)0769524052

On wireless Grids Information Services have special requirements. Resource information has to be updated when users and resource providers arrive and depart frequently. Meanwhile, Information Services may be also mobile, so the clients and information sources should dynamically detect the existence and departure of Information Services. We present WGMDS, a WSRF-compliant and P2P (peer to peer) based Information Service to meet the special requirements on wireless Grids. We employ P2P mechanism to integrate Information Services to provide Grid-wide resource information. In WGMDS, the clients and information sources dynamically probe nearest Information Services to query or register resource information. three algorithms are proposed to support the Information Service architecture. We use simulations in NS2 to evaluate the three algorithms.

关键词： distributed computer systems

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Dynamic load balancing of black-box applications with a resource selection mechanism on heterogeneous resources of the grid

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9th international conference on parallel computing technologies

作者： Krzhizhanovskaya, Valeria V. Korkhov, Vladimir V. Univ Amsterdam Fac Sci Sect Computat Sci NL-1012 WX Amsterdam Netherlands St Petersburg StatePoltech Univ St Petersburg 199034 Russia

ISBN: (纸本)9783540739395

In this paper we address the critical issues of efficient resource management and high-performance parallel distributed computing on the Grid by introducing a new hierarchical approach that combines a user-level job scheduling with a dynamic load balancing technique that automatically adapts a black-box distributed or parallel application to the heterogeneous resources. the algorithm developed dynamically selects the resources best suited for a particular task or parallel process of the executed application, and optimizes the load balance based on the dynamically measured resource parameters and estimated requirements of the application. We describe the proposed algorithm for automated load balancing, paying attention to the influence of resource heterogeneity metrics, demonstrate the speedup achieved with this technique for different types of applications and resources, and propose a way to extend the approach to a wider class of applications.

关键词： dynamic load balancing resource management high-performance computing grid heterogeneous resources parallel distributed application

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Optimizing High-Performance computing Systems for Biomedical Workloads 34

Optimizing High-Performance Computing Systems for Biomedical...

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34th IEEE international parallel and distributed Processing Symposium (IPDPS)

作者： Kovatch, Patricia Gai, Lili Cho, Hyung Min Fluder, Eugene Jiang, Dansha Icahn Sch Med Mt Sinai Genet & Genom Sci New York NY 10029 USA Icahn Sch Med Mt Sinai Off Dean New York NY 10029 USA

ISBN: (纸本)9781728174457

the productivity of computational biologists is limited by the speed of their workflows and subsequent overall job throughput. Because most biomedical researchers are focused on better understanding scientific phenomena rather than developing and optimizing code, a computing and data system implemented in an adventitious and/or non-optimized manner can impede the progress of scientific discovery. In our experience, most computational, life-science applications do not generally leverage the full capabilities of high-performance computing, so tuning a system for these applications is especially critical. To optimize a system effectively, systems staff must understand the effects of the applications on the system. Effective stewardship of the system includes an analysis of the impact of the applications on the compute cores, file system, resource manager and queuing policies. the resulting improved system design, and enactment of a sustainability plan, help to enable a long-term resource for productive computational and data science. We present a case study of a typical biomedical computational workload at a leading academic medical center supporting over $100 million per year in computational biology research. Over the past eight years, our high-performance computing system has enabled over 900 biomedical publications in four major areas: genetics and population analysis, gene expression, machine learning, and structural and chemical biology. We have upgraded the system several times in response to trends, actual usage, and user feedback. Major components crucial to this evolution include scheduling structure and policies, memory size, compute type and speed, parallel file system capabilities, and deployment of cloud technologies. We evolved a 70 teraflop machine to a 1.4 petaflop machine in seven years and grew our user base nearly 10-fold. For long-term stability and sustainability, we established a chargeback fee structure. Our overarching guiding principle for eac

关键词： high performance computing computational biology genomics system optimization scheduling parallel file systems cloud technologies sustainability

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Performance, Energy and parallelism: Using Near Data Processing in Utility and Cloud computing 15

Performance, Energy and Parallelism: Using Near Data Process...

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IEEE/ACM 15th international conference on Utility and Cloud computing (UCC) / 9th international conference on Big Data computing, applications and technologies (BDCAT)

作者： Agha, Gul Mukherjee, Dipayan Sandur, Atul Univ Illinois Dept Comp Sci Urbana IL 61801 USA

ISBN: (纸本)9781665460873

Massive amounts of data are generated by sensor networks, edge computers, IoT devices, and enterprise networks. To process this volume of data requires (1) a scalable programming model that is not only concurrent and distributed, but supports the mobility of data and processes (actors), and (2) algorithms to distribute computations between nodes in a manner that improves overall performance while considering energy use in the system. With appropriate programming tools, we can distribute a given computation in a way that makes effective use of edge devices to improve performance while lowering energy consumption. the paper describes our work building on ideas based on the Actor model of computation. these include characterizing the relation of performance and energy consumption in parallel computation, and methods to support scalable placement mechanisms under dynamically changing network conditions and computational loads on edge devices. the paper will conclude with a presentation with a summary of open research problems.

关键词： edge computing actor model energy efficiency distributed computation

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Integration patterns of grid security service

Integration patterns of grid security service

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6th international conference on parallel and distributed computing, applications and technologies (PDCAT 2005)

作者： Qu, XL Yang, XJ Zhong, JW Lv, XF School of Computer Science National University of Defense Technology China Information Center of General Logistics Department of PLA

ISBN: (纸本)0769524052

With service-oriented architecture entering into the mainstream and the fundamental role security service played in Grid computing, it is necessary and commonplace to integrate security service(s) with other Grid services. However, current ad-hoc, handcrafted and proprietary integrating manners greatly hinder the the newly-integrated service's QoS (Quality of Service) and QoP (Quality of Protection). Efficient and effective security-service integration entails a higher-level abstraction of specific integration scenarios. that's where this paper takes root. In this paper, we borrow some idea from software engineering and propose several integration patterns of Grid security service. According to the number of the to-be-integrated non-security service(s), we classify all the patterns into 2 kinds: bilateral patterns and multilateral patterns, and propose 6 patterns (binding, on-demand, tailor, composite, contract and migration) and 4 patterns (separated, shared, mediated and enhanced) respectively. For each pattern, we discuss its intent, applicability, participants and consequences.

关键词： distributed computer systems

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