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An Error-Reflective Consistency Model for distributed Data Stores 33

An Error-Reflective Consistency Model for Distributed Data S...

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33rd IEEE international parallel and distributed Processing symposium (IPDPS)

作者： Dexter, Philip Chiu, Kenneth Sendir, Bedri SUNY Binghamton Binghamton NY 13902 USA IBM Res Austin TX USA

ISBN: (纸本)9781728112466

Consistency models for distributed data stores offer insights and paths to reasoning about what a user of such a system can expect. However, often consistency models are defined or implemented in coarse-grained manners, making it difficult to achieve precisely the consistency required. Further, many domains are already written to handle anomalies in distributed systems, yet they have little opportunity for expressing or taking advantage of their leniency. We propose reflective consistency an active solution which adapts an underlying data store to changing loads and resource availability to meet a given consistency level. We implement reflective consistency in Cassandra, an existing distributed data store supporting per-read and per-write consistency. Our implementation allows users to express their anomaly leniency directly and the system will react to the presence of anomalies, changing Cassandra's consistency only when needed. Users of Reflective Cassandra can expect minimal overhead (anywhere from 1% to 14% depending on configuration) and a 50% decrease in the amount of costly strong reads.

关键词： distributed computing Database systems

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distributed dispatching in the parallel server model 34

Distributed dispatching in the parallel server model

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34th international symposium on distributed Computing, DISC 2020

作者： Goren, Guy Vargaftik, Shay Moses, Yoram Technion - Israel Institute of Technology Haifa Israel VMware Research

ISBN: (纸本)9783959771689

With the rapid increase in the size and volume of cloud services and data centers, architectures with multiple job dispatchers are quickly becoming the norm. Load balancing is a key element of such systems. Nevertheless, current solutions to load balancing in such systems admit a paradoxical behavior in which more accurate information regarding server queue lengths degrades performance due to herding and detrimental incast effects. Indeed, both in theory and in practice, there is a common doubt regarding the value of information in the context of multi-dispatcher load balancing. As a result, both researchers and system designers resort to more straightforward solutions, such as the power-of-two-choices to avoid worst-case scenarios, potentially sacrificing overall resource utilization and system performance. A principal focus of our investigation concerns the value of information about queue lengths in the multi-dispatcher setting. We argue that, at its core, load balancing with multiple dispatchers is a distributed computing task. In that light, we propose a new job dispatching approach, called Tidal Water Filling, which addresses the distributed nature of the system. Specifically, by incorporating the existence of other dispatchers into the decision-making process, our protocols outperform previous solutions in many scenarios. In particular, when the dispatchers have complete and accurate information regarding the server queue lengths, our policies significantly outperform all existing solutions. © Guy Goren, Shay Vargaftik, and Yoram Moses;licensed under Creative Commons License CC-BY 34th international symposium on distributed Computing (DISC 2020).

关键词： Queueing theory

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Performance Comparision of TPU, GPU, CPU on Google Colaboratory Over distributed Deep Learning

Performance Comparision of TPU, GPU, CPU on Google Colaborat...

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IEEE international symposium on Embedded Multicore Socs (MCSoC)

作者： Haklin Kimm Incheon Paik Hanke Kimm East Stroudsburg University East Stroudsburg PA USA School of Computer Science and Engineering University of Aizu Aizu-Wakamatsu City Fukushima Japan Stony Brook University Stony Brook NY USA

ISBN: (纸本)9781728187525

Deep Learning models need massive amounts compute powers and tend to improve performance running on special purpose processors accelerators designed to speed up compute-intensive applications. The accelerators like Tensor Processing Units (TPUs) and Graphics Processing Units (GPUs) are widely used as deep learning hardware platforms which can often achieve better performance than CPUs, with their massive parallel execution resources and high memory bandwidth. Google Colaboratory known as Colab is a cloud service based on Jupyter Notebook that allows the users to write and execute mostly Python in a browser and admits free access to TPUs and GPUs without extra configuration need, which are widely available cloud hardware platforms. In this paper, we present a through comparison of the hardware platforms on Google Colab that is benchmarked with distributed Bidirectional Long Short-Term Memory (dBLSTM) models upon the number of layers, the number of units each layer, and the numbers of input and output units the datasets. Human Activity Recognition (HAR) data from UCI machine-learning library have been applied to the proposed distributed bidirectional LSTM model to find the performance, strengths, bottlenecks of the hardware platforms of TPU, GPU and CPU upon hyperparameters, execution time, and evaluation metrics: accuracy, precision, recall and F1 score.

关键词： Deep learning Measurement Training Runtime Tensors Graphics processing units Benchmark testing

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Extending the Concept of Voting Structures to Support Path-Based Replication Strategies

Extending the Concept of Voting Structures to Support Path-B...

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Pacific Rim international symposium on Dependable Computing

作者： Christian Linder Oliver Theel Carl von Ossietzky University Oldenburg Germany

ISBN: (纸本)9781665424776

Data replication is an important concept in distributed computing to provide fault-tolerant, highly available, and low cost data access operations, since a unique master copy can fail. Although the field of data replication is very well researched, the question of application-optimized replication strategies for specific scenarios still stands. There are many scenarios which cannot be satisfactorily managed by known replication strategies. Recent research has proposed the use of voting structures for generating new replication strategies from known ones, such that a wide range of scenarios can be addressed. However, unfortunately, voting structures cannot represent path-based replication strategies in an intuitive way. But path-based replication strategies have been proven to be very flexible and efficient in providing low operation costs and high availabilities. Thus, some very good characteristics cannot yet be covered by the above-sketched approach. In this paper, we present an extension to the concept of voting structures that allows the design of path-based replication strategies in an easy and intuitive way. Furthermore, we introduce a general design pattern that transforms each path-based replication strategy, given by a grid structure, to an efficient equivalent voting structure of the extended concept. The proposed approach is proven as well as its use demonstrated.

关键词： Fault tolerance Costs Fault tolerant systems distributed databases Transforms

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An Improved parallel Strategy for Auxiliary Inverter without Control Interconnection in Metro Applications 10

An Improved Parallel Strategy for Auxiliary Inverter without...

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IEEE 10th international symposium on Power Electronics for distributed Generation systems (PEDG)

作者： Xu, Mingxia Wang, Zhiqiang Che, Xiangzhong Wang, Ninghui Dalian Univ Technol Sch Elect Engn Dalian Peoples R China CRRC Dalian R&D CO LTD Technol Ctr Dalian Peoples R China

ISBN: (纸本)9781728124551

This paper proposes an improved parallel control strategy which suits for the auxiliary inverter under different working conditions in metro. Firstly, differential droop coefficient and virtual impedance are introduced to improve the stability and dynamic response of the system. Meanwhile, the proportional-resonant control is introduced to enhance the ability of the auxiliary inverter under the sudden load change condition or with the non-linear load. Furthermore, mathematical modeling of the auxiliary inverters is carried out in the system. Finally, the improved droop control, virtual impedance and current resonant control strategies are applied to two paralleled inverters test platform of 120kVA. The experimental results show that the proposed control algorithm can greatly improve the voltage waveform and dynamic response of the parallel inverters, and improve the ability of the system under non-linear loads.

关键词： parallel control virtual impedance auxiliar inverters differential droop coefficient resonant control

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Analysis of Negative Influence of Harmonic Circulation between parallel STATCOMs and Suppression Method 10

Analysis of Negative Influence of Harmonic Circulation betwe...

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IEEE 10th international symposium on Power Electronics for distributed Generation systems (PEDG)

作者： Chen, Jikai Wang, Peng Hu, Yang Shao, Hui Li, Guoqing Wang, Xiaozhe Qin, Jiangchao Northeast Elect Power Univ Sch Elect Engn Jilin Jilin Peoples R China McGill Univ Sch Elect Engn Montreal PQ Canada Arizona State Univ Sch Elect Comp & Energy Engn Tempe AZ USA

ISBN: (纸本)9781728124551

In this paper, the cascaded H-bridge STATCOM parallel system is taken as the research object to analyze the instability of STATCOM system caused by the interaction between parallel STATCOMs in wind farm afflux station. Firstly, the inherent relation of harmonic circulation and low-frequency disturbance will be revealed by CPS-PWM theory. Then, the output impedance and transfer function of STATCOM give an insight into the interaction between STATCOMs and low-frequency resonance, and the virtual impedance method is proposed to shape the resonant peak. Finally, the correctness of theoretical analysis is verified by real-time simulation.

关键词： cascaded H-bridge STATCOM harmonic current low-frequency disturbance virtual impedance

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Training Data Reduction for Performance Models of Data Analytics Jobs in the Cloud

Training Data Reduction for Performance Models of Data Analy...

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IEEE international Conference on Big Data

作者： Jonathan Will Onur Arslan Jonathan Bader Dominik Scheinert Lauritz Thamsen Technische Universität Berlin Germany Humboldt-Universität zu Berlin Germany

ISBN: (纸本)9781665445993

distributed dataflow systems like Apache Flink and Apache Spark simplify processing large amounts of data on clusters in a data-parallel manner. However, choosing suitable cluster resources for distributed dataflow jobs in both type and number is difficult, especially for users who do not have access to previous performance metrics. One approach to overcoming this issue is to have users share runtime metrics to train context-aware performance models that help find a suitable configuration for the job at hand. A problem when sharing runtime data instead of trained models or model parameters is that the data size can grow substantially over *** paper examines several clustering techniques to minimize training data size while keeping the associated performance models accurate. Our results indicate that efficiency gains in data transfer, storage, and model training can be achieved through training data reduction. In the evaluation of our solution on a dataset of runtime data from 930 unique distributed dataflow jobs, we observed that, on average, a 75% data reduction only increases prediction errors by one percentage point.

关键词： Measurement Training Analytical models Runtime Pipelines Training data distributed databases

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Blockchain-based Metadata Protection for Archival systems 38

Blockchain-based Metadata Protection for Archival Systems

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IEEE 38th international symposium on Reliable distributed systems (SRDS)

作者： LHutereate, Arnaud Burihabwa, Dorian Felber, Pascal Mercier, Hugues Schiavoni, Valerio Polytech Nantes Nantes France Univ Neuchatel Neuchatel Switzerland

ISBN: (数字)9781728142227

ISBN: (纸本)9781728142227

Long-term archival storage systems must protect data from powerful attackers that might try to corrupt or censor (part of) the documents. They must also protect the corresponding metadata information, which is essential to maintain and rebuild the stored data. In this practical experience report, we present METABLOCK, a metadata protection system leveraging the Ethereum distributed ledger. We combine METABLOCK with an existing secure long-term data archival system to provide a scalable design that allows external auditing, data validation and efficient data repair. We reflect on our experiences in using a blockchain for metadata protection, with the goal of providing valuable insights and lessons for developers of such secure systems, by highlighting the potential and limitations of the approach. Our prototype is available on Github.

关键词： cryptocurrencies distributed databases financial data processing information retrieval systems meta data records management security of data storage management Metadata Financial data processing records management Information Retrieval systems distributed databases Store management Data Security

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Zero-Sequence Circulating Current Suppression for parallel T-Type Three-Level inverters 10

Zero-Sequence Circulating Current Suppression for Parallel T...

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IEEE 10th international symposium on Power Electronics for distributed Generation systems (PEDG)

作者： Hu, Lucai Zhang, Jianzhong Xu, Shuai Wu, Haifu Southeast Univ Jiangsu Prov Key Lab Smart Grid Technol & Equipme Nanjing 210096 Peoples R China

ISBN: (纸本)9781728124551

In common DC-bus two parallel T-type three-level inverter systems, the neutral-point (NP) potential balancing and the zero-sequence circulating current (ZSCC) should be considered in practical applications. The differences of the parallel inverters in parameters, such as the filters, reference output current, and the unsynchronized switching states, will produce the ZSCC. However, the parameters and NP potential influence the amplitude of the ZSCC. In this paper, the modeling of NP potential and ZSCC in T-type three-level parallel inverter system is established and analyzed. In order to balance the NP potential, the compensation control based on the zero-sequence voltage injection and feed-back control is proposed. The combination of the compensation control and CM voltage injection is adopted to suppress the ZSCC. Finally, the effectiveness of the proposed strategy is verified by the simulation results.

关键词： T-type three-level inverter NP potential balancing ZSCC compensation control

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parallel Query Service for Object-centric Data Management systems

Parallel Query Service for Object-centric Data Management Sy...

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IEEE international symposium on parallel and distributed Processing Workshops and Phd Forum (IPDPSW)

作者： Houjun Tang Suren Byna Bin Dong Quincey Koziol Lawrence Berkeley National Laboratory Berkeley California

ISBN: (数字)9781728174457

ISBN: (纸本)9781728174570

While large-scale scientific experiments and simulations produce massive amounts of data, a small fraction of data contains useful information. Efficient querying on such volume of data to extract that information increases the productivity of the scientific discovery process. Although querying has been explored extensively in relational databases, research and adoption of querying tools for scientific data that is stored in parallel file systems on high performance computing (HPC) systems are still in infancy. In this paper, we introduce a parallel query service, called PDC-Query, for an object data management systems (ODMS) on HPC systems. It operates on partitioned objects in parallel, and provides several optimization strategies for fast query evaluation. The ODMS paradigm for HPC systems is promising in reducing the burden on users in data management and in moving data transparently across the deep memory hierarchy in modern HPC systems. We propose a `global histogram' based approach to accelerate query evaluation, through selectivity estimation and reducing the amount of data that needs to be loaded from storage and processed. We compare querying performance and demonstrate the efficiency and scalability of different approaches PDC-Query supports, including using global histograms, bitmap indexes, sorting, and full scan, in performing various queries on top of a plasma physics dataset with 125 billion particles and an astronomy dataset with 25 million objects.

关键词： Metadata Query processing Servers Histograms Arrays Scalability Indexes

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