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Accelerating Native Transaction processing in LSM-Based Persistent Key-Value Stores

Accelerating Native Transaction Processing in LSM-Based Pers...

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1st international Conference on Smart Energy Systems and Artificial Intelligence (SESAI)

作者： Xue, Jin Shao, Zili Chinese Univ Hong Kong Dept Comp Sci & Engn Hong Kong Peoples R China

ISBN: (纸本)9798350364613;9798350364606

In recent years, key-value stores (KV stores) [1]-[3] begin to gain popularity as storage engines for large-scale data applications. KV stores are fundamentally different from traditional SQL databases and with the key-value data model, they have various advantages, such as ease of use, flexibility and higher performance. However, some essential features in SQL databases, most notably atomicity, consistency, isolation and durability (ACID) transaction processing [4], are considered impractical and thus are generally not included in a KV store design. With the recent advancement, these features begin to be integrated into KV stores, giving birth to a brand new class of database management systems called NewSQL databases [5], [6]. The rationale behind NewSQL databases is that with ACID transaction support, KV stores can serve as storage engines for an upper-layer SQL query processor to handle SQL queries [7]-[9]. In this way, NewSQL databases can provide both the scalability of KV stores and the ACID guarantees required for online transaction processing (OLTP), thus providing high performance for different types of workloads in a large-scale data system. © 2024 ieee.

关键词： key-value store log-structured merge tree transaction processing

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A Safe and User-Friendly Graphical Programming Model for parallel Stream processing 26

A Safe and User-Friendly Graphical Programming Model for Par...

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26th Euromicro international Conference on parallel, distributed, and Network-Based processing (PDP)

作者： Sydow, Stefan Nabelsee, Mohannad Parzyjegla, Helge Herber, Paula Tech Univ Berlin Commun & Operating Syst Grp Berlin Germany Univ Rostock Architecture Applicat Syst Grp Rostock Germany Tech Univ Berlin Software & Embedded Syst Engn Grp Berlin Germany

ISBN: (纸本)9781538649756

Writing correct and efficient parallel programs is hard. A lack of overview leads to errors in control- and dataflow, e.g., race conditions, which are hard to find due to their nondeterministic nature. In this paper, we present a graphical programming model for parallel stream processing applications, which improves the overview by visualizing high level dataflow together with explicit and concise annotations for concurrency-related dependency information. The key idea of our approach is twofold: First, we present a powerful graphical task editor together with annotations that enable the designer to define stream properties, task dependencies, and routing information. These annotations facilitate fine-granular and correct parallelization. Second, we propose seamless integration with the safe parallel programming language Rust by providing automated code structure generation from the graphical representation, design patterns for common parallel programming constructs like filters, and a scheduling and runtime environment. We demonstrate the applicability of our approach with a network-based processing system as it is typically found in advanced firewalls.

关键词： stream processing visual programming usability manycore parallel programming

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Multi-processor system for video coding applications

Multi-processor system for video coding applications

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Proceedings of the 1997 ieee international symposium on Consumer Electronics, ISCE'97

作者： Iyer, Deepak.S. Chong, M.N. Cai, Wentong Nanyang Technological Univ Singapore Singapore

Image coding is imperative for successful implementation of visual communications applications. With the emergence of enhanced multimedia technology, numerous video applications have emerged like multimedia conferencing, video on demand and DVDs. Coding is an essential component of all video applications and it becomes necessary to have improved coding techniques for faster applications. This paper discusses how parallel video coding on load balanced multiprocessor systems can help in incorporating efficient coding techniques like vector quantization into practical applications. Two parallel processing platforms will be discussed namely the heterogeneous network of workstations and the TI C40 DSP Chips. The software platforms used for these are the parallel Virtual Machines (PVM) programming model and parallel C respectively. An integration of the two programming models by using a PVM to parallel C Translation and the effect of load balancing for improved performance will also be discussed.

关键词： Image coding

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A simulation study of the effects of multi-path approaches in e-Commerce applications 20

A simulation study of the effects of multi-path approaches i...

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

作者： Romano, Paolo Quaglia, Francesco Ciciani, Bruno Dipartimento di Informatica e Sistemistica Università di Roma La Sapienza Via Salaria 113 00198 Roma Italy

ISBN: (纸本)1424400546

Response time is a key factor of any e-Commerce application, and a set of solutions have been proposed to provide low response time despite network congestions or failures. Being them mostly based on caching of Web objects and replication of DBMS managed data at the edges, or at intermediate points, of the Web infrastructure, they reveal effective when handling client requests only performing read access to application data. However, any update request typically needs to be redirected to the origin DBMSs, hence not taking advantage from data replication and related client proximity. In order to alleviate the effects of network congestions or failures, we have proposed a multi-path protocol that increases the likelihood for the update request to be processed along a responsive (e.g. failure free) network path in between the client location and the origin DBMS sites. In this paper we present an extensive simulation study of the effects of such a multi-path approach on the client perceived response time. The study relies on both Brite generated network topologies and the NLANR graph. Also, well known realistic TCP models are used to capture the effects of network delays during both normal and anomalous (i.e. packet loss affected) operation mode. © 2006 ieee.

关键词： Electronic commerce

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Library environment for distributed memory multiprocessors

Library environment for distributed memory multiprocessors

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Proceedings of the 6th international parallel processing symposium

作者： Kumar, M.Kishore Kumar, P.Sreenivasa Basu, A. Cent for Development of Advanced Computing Bangalore India

ISBN: (纸本)0818626720

In this paper, we propose the design of a library environment, called PARUL (parallel User Library), for distributed memory multiprocessor systems. An important feature of the environment is that it allows the data distributed for use of a library function as well as the results generated by the function to be retained in the network of processors to be used by subsequent library functions. The user of the library is given full control over the set of variables that are retained in the network. We describe the implementation details of PARUL on a multi-transputer system and discuss its performance.

关键词： Multiprocessing systems

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A distributed load balancing scheme for data parallel applications

A distributed load balancing scheme for data parallel applic...

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1993 international Conference on parallel processing, ICPP 1993

作者： Tout, Walid R. Pramanik, Sakti Department of Computer Science A702 Wells Hall Michigan State University East LansingMI48824-1027 United States

In data parallel applications, a major source of load imbalance is in the uneven distribution of data between the nodes. The major contribution of this paper is the analysis of a new distributed load balancing scheme based on random probing. Sequential probing was shown to create hot spot problems. Random probing, on the other hand, avoids these hot spots problems. We have modeled this load balancing scheme both analytically and experimentally. distributed Hash Join was used as an example application. The experiments were done on a BBN TC 2000 multiprocessor system. © 1993 ieee.

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Cyclone: Unified Stream and Batch processing 45

Cyclone: Unified Stream and Batch Processing

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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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Exploring the use of Hyper-Threading technology for multimedia applications with Intel® OpenMP compiler

Exploring the use of Hyper-Threading technology for multimed...

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international parallel and distributed processing symposium, IPDPS 2003

作者： Tian, Xinmin Chen, Yen-Kuang Girkar, Milind Ge, Steven Lienhart, Rainer Shah, Sanjiv Intel Compiler Labs Software Solution Group Intel Corporation 123600 Juliette Lane Santa ClaraCA95052 United States Microprocessor Research Intel Labs Intel Corporation 123600 Juliette Lane Santa ClaraCA95052 United States Intel China Research Center Intel Corporation 1906 Fox Drive ChampaignIL61820 United States KAI Software Lab Intel Corporation 1906 Fox Drive ChampaignIL61820 United States

ISBN: (纸本)0769519261

Processors with Hyper-Threading technology can improve the performance of applications by permitting a single processor to process data as if it were two processors by executing instructions from different threads in parallel rather than serially. However, the potential performance improvement can be only obtained if an application is multithreaded by parallelization techniques. This paper presents the threaded code generation and optimization techniques in the Intel® C++/Fortran compiler. We conduct the performance study of two multimedia applications parallelized with OpenMP pragmas and compiled with the Intel compiler on the Hyper-Threading technology (HT) enabled Intel single-processor and multi-processor systems. Our performance results show that the multithreaded code generated by the Intel compiler achieved up to 1.28x speedups on a HT-enabled single-CPU system and up to 2.23x speedup on a HT-enabled dual-CPU system. By measuring IPC (Instructions Per Cycle), UPC (Uops Per Cycle) and cache misses of both serial and multithreaded execution of each multimedia application, we conclude three key observations: (a) the multithreaded code generated by the Intel compiler yields a good performance gain with the parallelization guided by OpenMP pragmas or directives;(b) exploiting thread-level parallelism (TLP) causes inter-thread interference in caches, and places greater demands on the memory system. However, the Hyper-Threading technology hides the additional latency, so that there is a small impact on the whole program performance;(c) Hyper-Threading technology is effective on exploiting both task- and data-parallelism inherent in multimedia applications. © 2003 ieee.

关键词： Program compilers

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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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