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检索条件"任意字段=International Symposium Distributed Computing and Applications Business Engineering and Science"

共 3573 条记录，以下是1441-1450 订阅

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COMET: Client-Oriented METadata Service for Highly Available distributed File Systems

COMET: Client-Oriented METadata Service for Highly Available...

引用

international symposium on Computer Architecture and High Performance computing (SBAC-PAD)

作者： Ruini Xue Lixiang Ao Zhongyang Guan School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu China

Highly available metadata services of distributed file systems are essential to cloud applications. However, existing highly available metadata designs lack client-oriented features that treat metadata discriminately, leading to a single metadata fault domain and low availability. After investigating the workload characteristics of Hadoop, we propose Client-Oriented METadata (COMET), a novel highly available metadata service design that divides and distributes metadata into independent regions in terms of clients. These regions are isolated fault domains inherently, and failures in one region will not break file operations in other regions. A prototype of COMET was implemented based on HDFS, and the experimental results show that COMET can significantly improve metadata availability of HDFS without obvious performance degradation. It can also deliver scalable performance and faster metadata recovery due to its decentralized architecture.

关键词： Metadata Servers Throughput Synchronization Prototypes Computer architecture File systems

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Design of Component-Oriented Centralized and distributed-Integrative Runtime Infrastructure of Simulation System 13

Design of Component-Oriented Centralized and Distributed-Int...

引用

13th international symposium on distributed computing and applications to business, engineering and science (DCABES)

作者： Gong, Jian-xing Zhang, Zhong-Jie Hao, Jian-guo Huang, Jian Zhou, Yun Natl Def Univ Coll Electromech Engn & Automat Changsha Hunan Peoples R China Natl Def Univ Coll Informat Syst & Management Changsha Hunan Peoples R China

ISBN: (纸本)9781479941698

Focusing on specific domains, most traditional simulation systems have features of standalone-centralized running mode, weak interoperability with external simulation systems, difficult reusability of system components. With the technical development of the distributed simulation, the inspiration of developing reusable simulation model components satisfying the needs of simulation systems or environments in the whole simulation domain, as well as endowing the simulation system with the ability of customization, expansion and interoperability by assembling above mentioned components rapidly and conveniently have drawn significant attention within simulation community. The paper addresses a component-oriented centralized and distributed-integrative runtime infrastructure of simulation system. The system has designed the corresponding data distribution, filtering and cache concentration, operating on the subscribing and publishing mechanism, for reducing the redundancy of interactive data between models and improving the running efficiency of the system. It also proposes the simulation service based on the bridge-based design pattern, shielding implementation details between models in the application layer and underlying runtime platforms. The service enables the application of models used not only in traditional standalone centralized simulation systems, but also in distributed simulation system with no editing even compiling. Besides, through using international standard descriptive specification, namely Base Object Model (BOM), for component-oriented simulation models, the system improves the standardization and interoperability of models.

关键词： Component-oriented centralized-and-distributed-integrative Runtime Infrastructure of Simulation System Base Object Model

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Time sliced and priority based load balancer

Time sliced and priority based load balancer

引用

IEEE international Advance computing Conference, IACC

作者： Nagamani H Shahapure P Jayarekha Department of Information Science and Engineering JSS Academy of Technical Education Bangalore India Department of Information Science and Engineering BMS College of Engineering Bangalore India

Rapid increase in the demand for scientific, business and web applications has led to large scale computation. Cloud computing has emerged as a scalable, reliable, affordable, flexible source for such type of applications. The need to mange such applications require proper load balancing and scheduling techniques. These techniques are different from the algorithms used for distributed computing. This is mainly due to the high scalability and high availability in the cloud environment. The proposed algorithm based on load balancing is presented in this paper. The principle of time scheduling and priority is utilized. The approach implements division of time into multiple slices and allocating each process to particular time interval based on priority. The processor serves the user request within the allotted time slot. At the end of the time slice, the next queued user request is ready for execution. The user exits from the queue upon completion of user request, otherwise user waits for its next slot. The increase in waiting time increases the time slot the user requests gets in the virtual machine. This reduces the overhead of context switching.

关键词： Load management Switches Context Virtual machining Algorithm design and analysis Heuristic algorithms Time factors

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Towards greener services in cloud computing: Research and future directives

Towards greener services in cloud computing: Research and fu...

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international Conference on Applied Research in Computer science and engineering (ICAR)

作者： Soha Rawas Wassim Itani Ali Zaart Ahmed Zekri Department of Mathematics and Computer Science Beirut Arab University Department of Electrical &Computer Engineering Beirut Arab University

Cloud computing is today's most emphasized infrastructure for running high performance computing (HPC), business enterprise and web applications used by almost every online user. The growing demand of distributed powerful data centers has drastically increased the Cloud infrastructure energy consumption, which has started to limit further performance growth not only due to overwhelming electricity bills but also due to carbon dioxide footprint that effect the whole world. Therefore, energy-efficient solutions have become a challenging factor for the ICT future sustainability. To design such solutions, deep analysis of the Cloud infrastructure and the computing resources that contribute to energy consumption is required. This paper discusses various elements that form the cloud computing environment, its role in the total energy consumption and the research directions to enable green Cloud computing. Finally, an energy efficient green Cloud architecture is proposed to provide a unified solution that assists Clouds providers to utilize computing resources in the greenest or most energy-efficient way.

关键词： Cloud computing Energy efficiency Energy consumption Green products Air pollution Carbon dioxide Servers

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Experience report: A characteristic study on out of memory errors in distributed data-parallel applications

Experience report: A characteristic study on out of memory e...

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international symposium on Software Reliability engineering (ISSRE)

作者： Lijie Xu Wensheng Dou Feng Zhu Chushu Gao Jie Liu Hua Zhong Jun Wei University of Chinese Academy of Sciences State Key Lab of Computer Science Chinese Academy of Sciences

Out of memory (OOM) errors occur frequently in data-intensive applications that run atop distributed data-parallel frameworks, such as MapReduce and Spark. In these applications, the memory space is shared by the framework and user code. Since the framework hides the details of distributed execution, it is challenging for users to pinpoint the root causes and fix these OOM errors. This paper presents a comprehensive characteristic study on 123 real-world OOM errors in Hadoop and Spark applications. Our major findings include: (1) 12% errors are caused by the large data buffered/cached in the framework, which indicates that it is hard for users to configure the right memory quota to balance the memory usage of the framework and user code. (2) 37% errors are caused by the unexpected large runtime data, such as large data partition, hotspot key, and large key/value record. (3) Most errors (64%) are caused by memory-consuming user code, which carelessly processes unexpected large data or generates large in-memory computing results. Among them, 13% errors are also caused by the unexpected large runtime data. (4) There are three common fix patterns (used in 34% errors), namely changing the memory/dataflow-related configurations, dividing runtime data, and optimizing user code logic. Our findings inspire us to propose potential solutions to avoid the OOM errors: (1) providing dynamic memory management mechanisms to balance the memory usage of the framework and user code at runtime; (2) providing users with memory+disk data structures, since accumulating large computing results in in-memory data structures is a common cause (15% errors).

关键词： Runtime Sparks Programming Fault tolerance Fault tolerant systems Memory management Data structures

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Fast Proof Generation for Verifying Cloud Search

Fast Proof Generation for Verifying Cloud Search

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international symposium on Parallel and distributed Processing (IPDPS)

作者： Jingyu Zhou Jiannong Cao Bin Yao Minyi Guo Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai China Department of Computing Hong Kong Polytechnic University Hong Kong

ISBN: (纸本)9781479986507

As cloud computing has become prominent, the need for searching cloud data has grown increasingly urgent. However, cloud search may be incorrect due to errors of cloud providers and attacks from other malicious tenants. Previous work on verifiable computing returns results with probabilistically checkable proofs, which targets at different applications other than search and requires a large computation overhead. We propose a hybrid approach for generating proofs of cloud search results. Specifically, we model search indices as sets and search operations as set intersections, and build proofs based on RSA accumulators and aggregated membership and no membership witnesses. Because generating witnesses for large sets is computationally expensive, we employ interval-based witnesses for fast proof generation. To reduce proof size, our hybrid method uses Bloom filters when set difference is large. Evaluation on real datasets shows that our hybrid approach generates proofs in an average of 0.197s, up to 83.2% faster than previous work with a smaller proof size. Experiments also show our approach allows incremental updates with constant cost.

关键词： Indexes Cloud computing Silicon Optimization Security Dictionaries Probabilistic logic

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GA Based Placement Optimization for Hybrid distributed Storage

GA Based Placement Optimization for Hybrid Distributed Stora...

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IEEE international Conference on High Performance computing and Communications (HPCC)

作者： Yizi Wu Youtao Zhang College of Information Science and Technology Engineering Research Center of Digitized Textile & Fashion Technology Ministry of Education Donghua University Shanghai China Department of Computer Science University of Pittsburgh Pittsburgh PA U.S.A

The VOD (video on-demand) applications, in order to minimize access latency and improve quality of service, require periodically optimizing the placement of their large volume of video, courseware, and database files in data centers. Migration-enhanced data placement schemes allow data movement at runtime, which imposes significant overhead, particularly for hybrid distributed storage systems that consist of both SSDs and HDDs. In this paper, we propose a genetic algorithm based multi-objective optimization scheme for data placement and migration optimization in software defined storage systems. We prototype and evaluate the proposed scheme with comparison to simple heuristic designs. Our results show that our design acquires better nondominated resolution set and achieves around 15% access delay and migration cost reduction.

关键词： Optimization distributed databases Servers Bandwidth Runtime Computer architecture Genetic algorithms

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A Group-Based Job Scheduling Method for Parallel Volunteer computing

A Group-Based Job Scheduling Method for Parallel Volunteer C...

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international symposium on computing and Networking (CANDAR)

作者： Kaworu Ochi Masaru Fukushi Graduate School of Science and Engineering Yamaguchi University Yamaguchi Ube Japan

Toward the realization of parallel Volunteer computing (VC), we propose a group-based job scheduling method based on the expected completion probability. A critical problem that must be addressed in the parallel VC is the volatility of nodes (workers), if any workers leave the VC system, jobs may never be completed due to the inability to communicate with the missing workers. We first define a new parallel VC model and then propose a group-based job scheduling method. We focus on the approach of redundant computation used for removing erroneous results and extend it to deal with the volatility of workers. In the proposed job scheduling method, groups of workers are determined adaptively for each job by calculating expected completion probability of the job considering worker defection rate. This method allows to increase the probability of job's completion, thus leading to the reduction in the computation time. Experimental results indicate that the proposed method reduces completion time of VC about 60%, compared to a simple method which does not consider the worker defection.

关键词： Computational modeling Processor scheduling Probability Scheduling Redundancy Computer applications distributed processing

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Identifying the Culprits Behind Network Congestion

Identifying the Culprits Behind Network Congestion

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international symposium on Parallel and distributed Processing (IPDPS)

作者： Abhinav Bhatele Andrew R. Titus Jayaraman J. Thiagarajan Nikhil Jain Todd Gamblin Peer-Timo Bremer Martin Schulz Laxmikant V. Kale Center for Applied Scientific Computing Lawrence Livermore National Laboratory Livermore CA Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge MA Lawrence Livermore National Laboratory Livermore CA US Department of Computer Science University of Illinois at Urbana-Champaign Urbana IL

Network congestion is one of the primary causes of performance degradation, performance variability and poor scaling in communication-heavy parallel applications. However, the causes and mechanisms of network congestion on modern interconnection networks are not well understood. We need new approaches to analyze, model and predict this critical behaviour in order to improve the performance of large-scale parallel applications. This paper applies supervised learning algorithms, such as forests of extremely randomized trees and gradient boosted regression trees, to perform regression analysis on communication data and application execution time. Using data derived from multiple executions, we create models to predict the execution time of communication-heavy parallel applications. This analysis also identifies the features and associated hardware components that have the most impact on network congestion and intern, on execution time. The ideas presented in this paper have wide applicability: predicting the execution time on a different number of nodes, or different input datasets, or even for an unknown code, identifying the best configuration parameters for an application, and finding the root causes of network congestion on different architectures.

关键词： Hardware Predictive models Vegetation Data models Three-dimensional displays Prediction algorithms Regression tree analysis

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Process Control over Real-Time Wireless Sensor and Actuator Networks

Process Control over Real-Time Wireless Sensor and Actuator ...

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IEEE international symposium on Cyberspace Safety and Security

作者： Terry Blevins Deji Chen Song Han Mark Nixon Willy Wojsznis Emerson Process Management Department of Computer Science and Engineering Tongji University Department of Computer Science and Engineering University of Connecticut

ISBN: (纸本)9781479989386

Wireless technologies have been successfully applied in the process industry since the creation of the first international standard IEC62591 WirelessHART. applications started in areas where wireless sensors provide rich process information to the automation systems. Although real and demonstrated control applications are advertised, wireless-for-control is still in the initial stage and faces a lot of challenges. In particular, feedback latency and battery longevity, which are also problems for wireless-for-sensing, are even more critical when wireless actuators are applied. There are additional challenges in using wireless actuators because they actively affect the process. This paper lays the foundation for control using a wireless actuator. It demonstrates how traditional control methodologies can be modified to effectively work with general wireless communication. The innovations are tested with simulations and experimentations, both on commercial distributed control systems.

关键词： Wireless Sensor and Actuator Networks Real-Time Communication Process Control

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