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Operational semantics of the Marte repetitive structure modeling concepts for data-parallel applications design

Operational semantics of the Marte repetitive structure mode...

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9th international symposium on parallel and distributed Computing, ISPDC 2010

作者： Gamatié, Abdoulaye Rusu, Vlad Rutten, Éric CNRS/LIFL INRIA LNE Villeneuve d'Ascq France INRIA Rennes Bretagne Atlantique Rennes France INRIA Grenoble - Rhône Alpes Saint Ismier France

ISBN: (纸本)9780769541204

This paper presents an operational semantics of the repetitive model of computation, which is the basis for the repetitive structure modeling (RSM) package defined in the standard UML Marte profile. It also deals with the semantics of an RSM extension for control-oriented design. The goal of this semantics is to serve as a formal support for i) reasoning about the behavioral properties of models specified in Marte with RSM, and ii) defining correct-by-construction model transformations for the production of executable code in a model-driven engineering framework. © 2010 ieee.

关键词： Semantics

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EncSIM: An Encrypted Similarity Search Service for distributed High-dimensional Datasets 25

EncSIM: An Encrypted Similarity Search Service for Distribut...

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25th ieee/ACM international symposium on Quality of Service (IWQoS)

作者： Liu, Xiaoning Yuan, Xingliang Wang, Cong City Univ Hong Kong Hong Kong Hong Kong Peoples R China City Univ Hong Kong Shenzhen Res Inst Shenzhen 518057 Peoples R China

ISBN: (纸本)9781538627044

Similarity-oriented services serve as a foundation in a wide range of data analytic applications such as machine learning, target advertising, and real-time decisions. Both industry and academia strive for efficient and scalable similarity discovery and querying techniques to handle massive, complex data records in the real world. In addition to performance, data security and privacy become an indispensable criterion in the quality of service due to progressively increased data breaches. To address this serious concern, in this paper, we propose and implement "EncSIM", an encrypted and scalable similarity search service. The architecture of EncSIM enables parallel query processing over distributed, encrypted data records. To reduce client overhead, EncSIM resorts to a variant of the state-of-the-art similarity search algorithm, called all-pairs locality-sensitive hashing (LSH). We describe a novel encrypted index construction for EncSIM based on searchable encryption to guarantee the security of service while preserving performance benefits of all-pairs LSH. Moreover, EncSIM supports data record addition with a strong security notion. Intensive evaluations on a cluster of Redis demonstrate low client cost, linear scalability, and satisfied query performance of EncSIM.

关键词： Encryption Indexes Servers Computer architecture distributed databases

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Cyclone: Unified Stream and Batch processing 45

Cyclone: Unified Stream and Batch Processing

引用

45th international Conference on parallel processing (ICPP)

作者： Harvan, Matus Locher, Thomas Sima, Ana Claudia ABB Corp Res Baden Switzerland Ecole Polytech Fed Lausanne Lausanne Switzerland

ISBN: (纸本)9781509028252

Due to the rising demand for large-scale data processing, there is a growing interest in both batch processing, where large volumes of data are processed offline, and stream processing, where large quantities of streaming data are processed online. The dichotomy between these vastly different computing paradigms has led to the development of substantially different methodologies and systems. As there is an increasing number of applications requiring stream and batch processing, there is a need to bridge this gap and offer support for both paradigms. We introduce a new direction for the unification of stream and batch processing, which, contrary to other proposed approaches, uses a stream processing platform as its foundation and supports batch processing on top. Our proof-of-concept implementation of such a middleware layer, called Cyclone, offers the widely popular MapReduce programming model and translates MapReduce jobs for execution on the underlying streaming platform. Cyclone not only achieves a tight integration of batch and stream processing, our evaluation further shows significant performance gains, in particular for sequential and iterative jobs, which naturally arise in many applications.

关键词： stream processing batch processing distributed systems iterative algorithms MapReduce

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Exact pairwise alignment of megabase genome biological sequences using a Novel Z-align parallel strategy

Exact pairwise alignment of megabase genome biological seque...

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23rd ieee international parallel and distributed processing symposium, IPDPS 2009

作者： Boukerche, Azzedine Batista, Rodolfo Bezerra De Melo, Alba Cristina Magalhaes Alves University of Ottawa Canada Brazil

ISBN: (纸本)9781424437504

Pairwise Sequence Alignment is a basic operation in Bioinformatics that is performed thousands of times, in a daily basis. The exact methods proposed in the literature have quadratic time complexity. For this reason, heuristic methods such as BLAST are widely used. Nevertheless, it is known that exact methods present better sensitivity, leading to better results. To obtain exact results faster, many parallel strategies have been proposed but most of them fail to align huge biological sequences. This happens because not only the quadratic time must be considered but also the space should be reduced. In this paper, we evaluate the performance and sensibility of z-align, a parallel exact strategy that runs in user-restricted memory space. The results obtained in a 64-processor cluster show that two sequences of size 23MBP (Mega Base Pairs) and 24MBP, respectively, were successfully aligned with z-align. Also, in order to align two 3MBP sequences, a speedup of 34.35 was achieved. Finally, when comparing z-align with BLAST, we can see that the z-align alignments are longer and have a higher score. © 2009 ieee.

关键词： Heuristic methods

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Models and resource metrics for parallel and distributed computation

Models and resource metrics for parallel and distributed com...

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Proceedings of the 8th international parallel processing symposium

作者： Reif, John H. CMU and duke Univ

ISBN: (纸本)0818656026

Various massively parallel computers have emerged in recent years. Each of then have some distinct architecture properties that challenge the computer scientist to develop algorithms and software appropriate to that specified architecture. This is at least as difficult a problem as software reuse in the sequential computer case. One approach to addressing this problem is to design parallel computation models which abstract the architecture details into several generic parameters, which we call resource metrics. Typical resource metrics include the number of processors, communication latency, synchronization, bandwidth, block transfer capability, memory access method, and network topology hierarchy. We review the various parallel and distributed computation models and compare the different resource metrics chosen by different computation models.

关键词： parallel processing systems

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RAPID: An end-system aware protocol for intelligent data transfer over lambda grids 20

RAPID: An end-system aware protocol for intelligent data tra...

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20th ieee international parallel and distributed processing symposium, IPDPS 2006

作者： Banerjee, Amitabha Feng, Wu-Chun Mukherjee, Biswanath Ghosal, Dipak University of California Davis Dept. of Computer Science Davis CA 95616 United States Virginia Tech. Dept. of Computer Science Blacksburg VA 24061 United States

ISBN: (纸本)1424400546

Next-generation e-Science applications will require the ability to transfer information at high data rates between distributed computing centers and data repositories. To support such applications, lambda grid networks have been built to provide large, on-demand bandwidth between end-points that are interconnected via optical circuit-switched lambdas. It is extremely important to develop an efficient transport protocol over such high-capacity, dedicated circuits. Because lambdas provide dedicated bandwidth between endpoints, they obviate the need for network congestion control. Consequently, past research has demonstrated that rate-based transport protocols, such as RBUDP, are more effective than TCP in transferring data over lambdas. However, while lambdas eliminate congestion in the network, they ultimately push the congestion to the endpoints - congestion that current rate-based transport protocols are ill-suited to handle. In this paper we introduce a "Rate-Adaptive, Protocol for Intelligent Delivery (RAPID)" of data that is lightweight and end-system performance-aware, so as to maximize end-to-end throughput while minimizing packet loss. Based on self monitoring of the dynamic task-priority at the receiving end-system, our protocol enables the receiver to proactively deliver feedback to the sender, so that the sender may adapt its sending rate to avoid congestion at the receiving end-system. This avoids large bursts of packet losses typically observed in current rate-based transport protocols. Over a 10-Gigabit link emulation of an optical circuit, RAPID reduces file-transfer time, and hence improves end-to-end throughput by as much as 25%. © 2006 ieee.

关键词： distributed computer systems

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SMR-X: Flexible parallel State Machine Replication for Cloud Computing 19

SMR-X: Flexible Parallel State Machine Replication for Cloud...

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19th Annual ieee/ACM international symposium on Cluster, Cloud, and Grid Computing (CCGRID)

作者： Zhou, Meng Wu, Weigang Chen, Zhiguang Xiao, Nong Sun Yat Sen Univ Sch Data & Comp Sci Guangzhou Guangdong Peoples R China Guangdong Prov Key Lab Big Data Anal & Proc Guangzhou Guangdong Peoples R China Mo Key Lab Machine Intelligence & Adv Comp Guangzhou Guangdong Peoples R China

ISBN: (纸本)9781728109121

State Machine Replication (SMR) is a fundamental fault tolerant technique for distributed systems. SMR traditionally requires sequential execution of commands at each replica node, so as to guarantee strong consistency among replicas. To achieve high performance at large scale cloud datacenters, SMR has been parallelized by employing multiple threads at each replica. In this paper, we propose SMR-X, a novel parallel SMR scheme, which realizes flexible mapping of commands for parallel executing at each replica. The mapping between clients' requests and work threads is dynamically adjusted according to the load level of work threads. Therefore, workloads of different threads can he well balanced and high system throughput can be achieved. The major challenge in our work lies in the inconsistency problem caused by dynamic changes in request-thread mapping. To cope with this, we design delicate mechanisms to synchronize mapping function, so that strong consistency among replicas can he guaranteed. The correctness of the proposed scheme is rigorously proved and its performance is evaluated via simulations. Simulation results show that SMR-X can achieve better load balance and lower access latency than existing parallel SMR schemes.

关键词： cloud computing data centers distributed systems parallel processing state machine replication

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BDViewer - A Web-Based Big Data processing and Visualization Tool 42

BDViewer - A Web-Based Big Data Processing and Visualization...

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42nd Annual ieee-Computer-Society Computers, Software and applications (COMPSAC) Conference - Staying Smarter in a Smartening World

作者： Li, Yan Ma, Junming An, Bo Cao, Donggang Peking Univ Minist Educ Key Lab High Confidence Software Technol Beijing Peoples R China

ISBN: (纸本)9781538626672

The size of data sets being collected and analyzed in data science field is growing rapidly, making traditional big data processing solution prohibitively expensive. Especially when the data sets are too large, distributed techniques are inevitable even for simple embarrassing parallel jobs. However, distributed computing is still inaccessible to a large number of users. For example, many average users are still struggling with complex cluster management and configuration tools[24] even just for summing up a group of numbers in a large data file. In this paper, we present BDViewer, a web-based big data processing and visualizing tool. BDViewer uses JavaScript plugins to enable users to view, process and visualize their large data files just through a web browser. By just clicking a button, users can open a large data file online and view the file contents immediately no matter how large the file is. In the back-end, BDViewer is built on a virtual private cloud system. Users' operations in a web browser are converted into map-reduce jobs and MPI tasks that are executed on the cloud. At the end of this paper, some experiments are carried out, which demonstrate BDViewer's effectiveness and ease of use.

关键词： Big Data Data processing Data Visualization distributed Computing parallel Computing

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iGiraph: A Cost-efficient Framework for processing Large-scale Graphs on Public Clouds 16

iGiraph: A Cost-efficient Framework for Processing Large-sca...

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16th ieee/ACM international symposium on Cluster, Cloud and Grid Computing (CCGrid)

作者： Heidari, Safiollah Calheiros, Rodrigo N. Buyya, Rajkumar Univ Melbourne Dept Comp & Informat Syst Cloud Comp & Distributed Syst CLOUDS Lab Melbourne Vic 3010 Australia

ISBN: (纸本)9781509024537

Large-scale graph analytics has gained attention during the past few years. As the world is going to be more connected by appearance of new technologies and applications such as social networks, Web portals, mobile devices, Internet of things, etc, a huge amount of data are created and stored every day in the form of graphs consisting of billions of vertices and edges. Many graph processing frameworks have been developed to process these large graphs since Google introduced its graph processing framework called Pregel in 2010. On the other hand, cloud computing which is a new paradigm of computing that overcomes restrictions of traditional problems in computing by enabling some novel technological and economical solutions such as distributed computing, elasticity and pay-as-you-go models has improved service delivery features. In this paper, we present iGiraph, a cost-efficient Pregel-like graph processing framework for processing large-scale graphs on public clouds. iGiraph uses a new dynamic re-partitioning approach based on messaging pattern to minimize the cost of resource utilization on public clouds. We also present the experimental results on the performance and cost effects of our method and compare them with basic Giraph framework. Our results validate that iGiraph remarkably decreases the cost and improves the performance by scaling the number of workers dynamically.

关键词： cloud computing graph processing partitioning public clouds cost-efficient processing graph analytics

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A distributed prototyping environment for human language technology

A distributed prototyping environment for human language tec...

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6th ieee international symposium on Signal processing and Information Technology

作者： Stanley, Theban Baca, Julie Liu, Miao Picone, Joseph Mississippi State Univ Ctr Adv Vehicular Syst Mississippi State MS 39762 USA

ISBN: (纸本)9780780397538

The DARPA Communicator program has fuelled the design and development of impressive human language technology applications. Its distributed framework has offered numerous benefits to the research community, including reduced prototype development time, sharing of components across sites, and provision of a standard evaluation platform. It has also enabled development of client-server applications with complex inter-process communication between modules. However, this latter feature, though beneficial, introduces complexities which reduce overall system robustness to failure. In addition, the ability to handle multiple users and multiple applications from a common interface is not innately supported In this paper, we describe our enhancements to the original Communicator architecture to address robustness issues and to support a multiple multi-user application capability. These enhancements have been evaluated using a series of experiments and they have shown a 7.2% improvement in the robustness of the system. These enhancements are available in our public domain toolkit.

关键词： DARPA Communicator multi-user/application environment state machine architecture handshaking

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