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Proceedings of the international conference on Parallel and distributed systems - ICPADS

Proceedings of the International Conference on Parallel and ...

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23rd IEEE international conference on Parallel and distributed systems, ICPADS 2017

ISBN: (纸本)9781538621295

The proceedings contain 103 papers. The topics discussed include: event description and detection in cyber-physical systems: an ontology-based language and approach;a time series classification method for battery event detection;charge-depleting of the batteries makes smartphones recognizable;concatenating road take me home: indoor navigation without infrastructure support;data collection with privacy preserving in participatory sensing;hierarchical resource distribution network based on mobile edge computing;when user interest meets data quality: a novel user filter scheme for mobile crowd sensing;and high resource utilization auto-scaling algorithms for heterogeneous container configurations.

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Moderated Resource Elasticity for Stream Processing Applications 1

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23rd international conference on Parallel and distributed computing (Euro-Par)

作者： Borkowski, Michael Hochreiner, Christoph Schulte, Stefan TU Wien Distributed Syst Grp Vienna Austria

ISBN: (数字)9783319751788

ISBN: (纸本)9783319751788;9783319751771

In stream processing, elasticity is often realized by adapting the system scale and topology according to the volume of input data. However, this volume is often fluctuating, with a high degree of noise, which can trigger a high amount of scaling operations. Since these scaling operations introduce additional overhead and cost, systems employing such approaches are at risk of spending a significant amount of time scaling up and down, nullifying the positive effects of scalability. To overcome this, we propose an approach for moderating the scaling behavior of stream processing applications by reducing the number of scaling operations, while still providing quick responses to changes in input data volume. Contrary to existing approaches, instead of using linear smoothing techniques, we show how to employ non-linear filtering techniques from the field of signal processing to pre-process the raw volume measurements, mitigating superfluous scaling operations, and effectively reducing the number of such operations by up to 94%.

关键词： Stream processing Elasticity TVD EKF

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Toward a graphical approach to multimedia document design

Toward a graphical approach to multimedia document design

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international conference on distributed computing systems Workshop

作者： Jun Kong Kang Zhang Department of Computer Science University of Texas Dallas Richardson TX USA

ISBN: (纸本)0769519210

This paper presents a graph-grammar based approach to multimedia document design. By extending an existing powerful graph grammar formalism with spatial relations, we are able to define the spatial and syntactic constraints graphically. An efficient syntax analyzer developed for the graph grammar formalism can validate and automatically perform a presentation on a user provided document structure.

关键词： Production Computer science Performance analysis Logic design Graphics Multimedia systems Polynomials Power generation distributed computing conferences

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Workflow technology for drug discovery

Workflow technology for drug discovery

引用

3rd international conference on Grid and Pervasive computing Symposia/workshops, GPC 2008

作者： Luo, Liangying Zhang, Ruisheng Zhang, Chunyan Fan, Xiaoliang Li, Lian Engineering Research Center of Open Source Software and Real-time Systems Department of Information Science and Engineering Lanzhou University Lanzhou Gansu 730000 China

ISBN: (纸本)9780769531779

Grid computing can integrate huge services and resources across distributed, heterogeneous, dynamic virtual organizations, and provide tremendous computing power in parallel. Workflow technology enables the user to compose complex Grid applications on distributed heterogeneous and unreliable hardware resources without taking care of lower level details. The drug discovery process almost comprises a number of sub processes, in which various software to be invoked, complex computing and huge amounts of data analyze are involved. Scientific workflow is the process of combining data and processes into a configurable, structured set of steps that implement semi-automated. distributed processing and parallel computing capacity can improve the Computational efficiency. Therefore, the problems in drug discovery can be solved using the workflow technology. This paper discusses the problem on drug discovery process and presents how to utilize workflow in our eSOC System to resolve the three most important issues in drug discovery. © 2008 IEEE.

关键词： Grid computing

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Resource aggregation networks

Resource aggregation networks

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IASTED international conference on Parallel and distributed computing and Networks, as part of the 23rd IASTED international Multi-conference on Applied Informatics

作者： Nagargadde, Aparna Gopalan, Srividya Sridhar, V. Applied Research Group Satyam Computer Services Limited #14 Langford Avenue Lalbhag Road Bangalore - 560025 India

Resource management is central to grid computing and plays a vital role in ensuring that the jobs execute both successfully and economically on the grid. In this paper, we present an analysis of the factors affecting resource allocation and illustrate the same in the case of disk space aggregation. We explore the feasibility of a comprehensive resource aggregation network that can bind fragmented resources together to provide a unified resource for grid jobs. We provide an implementation framework to realise resource aggregation, by adopting and enhancing the Alchemi [1] framework.

关键词： distributed computer systems

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A distributed file system in APL 81

A distributed file system in APL

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23rd Annual Symposium on Simulation, ANSS 1990

作者： Barasz, Jean-Pierre APL Systems Development SLIGOS 91 rue Jean-Jaures Puteaux91807 France

ISBN: (纸本)0897910354

This paper describes an extension to the APL-S system that allows accessing directly from one host computer the files based on other computers tied to the same public network. APL-NET makes easy the development of distributed processing applications by handling internally all synchronization problems inherent to cooperating processes on different machines. © 1981 ACM.

关键词： File organization

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The Parallelized Cuckoo Filter for Cold Data Representation 23

The Parallelized Cuckoo Filter for Cold Data Representation

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23rd IEEE international conference on High Performance computing and Communications, 7th IEEE international conference on Data Science and systems, 19th IEEE international conference on Smart City and 7th IEEE international conference on Dependability in Sensor, Cloud and Big Data systems and Applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Sun, Bowen Luo, Lailong Li, Shangsen Chen, Yingwen Guo, Deke College of Computer National University of Defense Technology China National University of Defense Technology Science and Technology on Information Systems Engineering Laboratory China College of Computer National University of Defense Technology National Lab for Parallel and Distributed Processing China

ISBN: (纸本)9781665494571

Cold data contributes a large portion of the big data today and is usually stored in secondary storage. Various sketch data structures are implemented to represent the stored elements and provide constant-time membership queries. Considering the large volume and infrequent access of cold data, we envision three rationales of cold data representation: 1) parallelized insertion, 2) accurate representation, and 3) constant-time query/deletion. The existing sketches, however, fail to achieve these rationales simultaneously. To this end, we propose a novel sketch named Parallelized cuckoo Filter (PCF) in this paper. PCF divides the standard cuckoo filter into multiple homogenous segments. An additional hash function is introduced to assign an element to a segment. The element will be inserted into the selected segment. With such a design, element insertions in PCF can be naturally parallelized. Besides, as a variant of the cuckoo filter, PCF naturally realizes the accurate representation and constant-time query/deletion requirements. Comprehensive experiments further indicate that PCF achieves the three rationales simultaneously. © 2021 IEEE.

关键词： Hash functions Smart cities Big Data Data structures Standards

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A survey of distributed probe-based deadlock detection algorithms and an improvement for solving false deadlock

A survey of distributed probe-based deadlock detection algor...

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IASTED international conference on Parallel and distributed computing and Networks, as part of the 23rd IASTED international Multi-conference on Applied Informatics

作者： Hosseini, Rahil Haghighat, Abolfazl T. Department of Electrical Computer and IT Islamic Azad University Qazvin Branch Qazvin Iran NPPD Tehran Iran

distributed deadlock detection is one of the most important problems in distributed systems. Over the two past decades many algorithms have been proposed in the literature to detect deadlock in distributed systems. Although many of them fail to detect deadlocks or report deadlocks that does not exist (false deadlocks) and have been proved that are incorrect. The most important and applicable class of distributed deadlock detection algorithms is probe-based algorithms. In this paper existing distributed probe-based deadlock detection algorithms have been classified and a survey including correctness of them and their constraints and conditions have been introduced. Also an improvement for removing of false deadlock with considering process termination or transaction abortion in this class of algorithms has been presented.

关键词： distributed computer systems

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The JoSchKa System: Organic Job Distribution in Heterogeneous and Unreliable Environments

The JoSchKa System: Organic Job Distribution in Heterogeneou...

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23rd international conference on Architecture of computing systems (ARCS 2010)

作者： Bonn, Matthias Schmeck, Hartmut KIT Steinbuch Ctr Comp D-76128 Karlsruhe Germany Karlsruhe Inst Technol Inst AIFB D-76128 Karlsruhe Germany

ISBN: (纸本)9783642119491

This paper describes a job distribution system which focuses on standard desktop worker nodes in inhomogeneous and unreliable environments. The system is suited for general purpose usage and supports both batch jobs and object-oriented interactive applications using standard Internet technologies. Advanced scheduling methods minimize the total execution time and improve execution efficiency, specialized to deal with unreliable failing worker nodes.

关键词： distributed computing scheduling monitoring web services desktop grids parallel applications organic computing cloud computing

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DESA: Decentralized Self-adaptive Horizontal Autoscaling for Bursts of Load in Fog computing 23rd

DESA: Decentralized Self-adaptive Horizontal Autoscaling for...

引用

23rd international conference on Web Engineering (ICWE)

作者： Park, EunChan Baek, KyeongDeok Cho, Eunho Ko, In-Young Korea Adv Inst Sci & Technol Sch Comp Daejeon South Korea

ISBN: (纸本)9783031503849;9783031503856

With the increase of Web of Things devices, fog computing has emerged as a promising solution to lower the communication overhead and congestion in the cloud. In fog computing systems, microservices are deployed as containers, which usually require an orchestration tool like Kubernetes for service discovery, placement, and recovery. One key challenge in the orchestration of microservices is establishing service elasticity in case of unpredictable bursts of load. Commonly, a centralized autoscaler in the cloud dynamically adjusts the number of microservice instances depending on the metric values monitored from distributed fog nodes. However, monitoring an increasing number of microservice instances can cause excessive network overhead and delay the scaling reaction. We propose DESA, a DEcentralized Self-adaptive Autoscaler through which each microservice instance makes its own scaling decision adaptively, cloning or terminating itself through a self-monitoring process. We evaluate DESA in a simulated fog computing environment with different numbers of fog nodes. The results show that DESA successfully reduces the scaling reaction time in large-scale fog computing systems compared to the centralized approach while resulting in a similar maximum number of instances and average CPU utilization during a burst of load.

关键词： Web services in edge clouds Self-adaptive microservice autoscaling Service elasticity

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