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Evaluating database-oriented replication schemes in software Transactional Memory systems

Evaluating database-oriented replication schemes in Software...

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2010 IEEE International symposium on Parallel and distributed Processing, Workshops and Phd Forum, IPDPSW 2010

作者： Palmieri, Roberto Quaglia, Francesco Romano, Paolo Carvalho, Nuno DIS Sapienza University Rome Italy INESC-ID Lisbon Portugal

ISBN: (纸本)9781424465347

software Transactional Memories (STMs) are emerging as a highly attractive programming model, thanks to their ability to mask concurrency management issues to the overlying applications. In this paper we are interested in dependability of STM systems.via replication. In particular we present an extensive simulation study aimed at assessing the efficiency of some recently proposed database-oriented replication schemes, when employed in the context of STM systems. Our results point out the limited efficiency and scalability of these schemes, highlighting the need for redesigning ad-hoc solutions well fitting the requirements of STM environments. Possible directions for the re-design process are also discussed and supported by some early quantitative data. © 2010 IEEE.

关键词： Efficiency

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Performance analysis of distributed software systems. A model-driven approach

Performance analysis of distributed software systems: A mode...

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2010 International symposium on Performance Evaluation of Computer and Telecommunication systems. SPECTS 2010

作者： Traore, Issa Woungang, Isaac El Sayed Ahmed, Ahmed Awad Obaidat, Mohammad S. Department of Electrical and Computer Engineering University of Victoria Victoria BC Canada Department of Computer Science Ryerson University Toronto ON Canada Department of Computer Science Monmouth University West Long Branch NJ 07764 United States

ISBN: (纸本)9781617387036

The design of complex software systems.is a challenging task because it involves a wide range of quality attributes such as security, performance, reliability, to name a few. Dealing with each of these attributes requires specific set of skills, which quite often, involves making various trade-offs. This paper proposes a novel Model-Driven software Performance Engineering (MDSPE) process that can be used for performance analysis requirements of distributed software systems. An example assessment is given to illustrate how our MDSPE process can comply with well-known performance models to assess the performance measures.

关键词： Life cycle

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Performance analysis of distributed software systems. A model-driven approach

Performance analysis of distributed software systems: A mode...

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作者： Traore, Issa Woungang, Isaac Ahmed, Ahmed Awad El Sayed Obaidat, Mohammad S. Department of Electrical and Computer Engineering University of Victoria Victoria BC Canada Department of Computer Science Ryerson University Toronto ON Canada Department of Computer Science Monmouth University West Long Branch NJ 07764 United States

ISBN: (纸本)9781565553415

The design of complex software systems.is a challenging task because it involves a wide range of quality attributes such as security, performance, reliability, to name a few. Dealing with each of these attributes requires specific set of skills, which quite often, involves making various trade-offs. This paper proposes a novel Model-Driven software Performance Engineering (MDSPE) process that can be used for performance analysis requirements of distributed software systems. An example assessment is given to illustrate how our MDSPE process can comply with wellknown performance models to assess the performance measures.

关键词： Life cycle

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A distributed Placement Service for Graph-Structured and Tree-Structured Data

A Distributed Placement Service for Graph-Structured and Tre...

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15th ACM SIGPLAN symposium on Principles and Practice of Parallel Programming

作者： Buehrer, Gregory Parthasarathy, Srinivasan Tatikonda, Shirish Microsoft Corp Redmond WA 98052 USA Ohio State Univ Columbus OH 43210 USA

ISBN: (纸本)9781605587080

Effective data placement strategies can enhance the performance of data-intensive applications implemented on high end computing clusters. Such strategies can have a significant impact in localizing the computation, in minimizing synchronization (communication) costs, in enhancing reliability (via strategic replication policies), and in ensuring a balanced workload or enhancing the available bandwidth from massive storage devices (e.g. disk arrays). Existing work has largely targeted the placement of relatively simple data types or entities (e.g. elements, vectors, sets, and arrays). Here we investigate several hash-based distributed data placement methods targeting tree-and graph-structured data, and develop a locality enhancing placement service for large cluster systems. Target applications include the placement of a single large graph (e.g. Web graph), a single large tree (e.g. large XML file), a forest of graphs or trees (e.g. XML database) and other specialized graph data types - bi-partite (query-click graphs), directed acyclic graphs etc. We empirically evaluate our service by demonstrating its use in improving mining executions for pattern discovery, nearest neighbor searching, graph computations, and applications that combine link and content analysis.

关键词： Algorithms Design Performance structured data data placement distributed computing

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Datalog Redux: Experience and Conjecture 10

Datalog Redux: Experience and Conjecture

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29th ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems

作者： Hellerstein, Joseph M. UC Berkeley EECS Comp Sci Div Berkeley CA 94720 USA

ISBN: (纸本)9781450300339

There is growing urgency in computer science circles regarding an impending crisis in parallel programming. Emerging computing platforms, from multicore processors to cloud computing, predicate their performance growth on the development of software to harness parallelism. For the first time in the history of computing, the progress of Moore's Law depends on the productivity of software engineers. Unfortunately, parallel and distributed programming today is challenging even for the best programmers, and simply unworkable for the majority. There has never been a more urgent need for breakthroughs in programming models and languages. While parallel programming in general is considered very difficult, data parallelism has been very successful. The relational algebra parallelizes easily over large datasets, and SQL programmers have long reaped the benefits of parallelism without modifications to their code. This point has been rediscovered and amplified via recent enthusiasm for Map Reduce programming and "Big Data", which have turned data parallelism into common culture across computing. As a result, it is increasingly attractive to tackle the challenge of parallel programming on the firm common ground of data parallelism: start with an easy-to-parallelize - kernel relational algebra and extend it to general-purpose computation. This approach has clear precedents in database theory, where it has long been known that classical relational languages have natural Turing-complete extensions. At the same time that this crisis has been evolving, variants of Datalog have been seen cropping up in a wide range of practical settings, from security to robotics to compiler analysis. Over the past seven years, we have been exploring the use of Datalog-inspired languages in a variety of systems.projects, with a focus on inherently parallel tasks in networking and distributed systems. The experience has been largely positive: we have demonstrated full-featured Datalog-based system imp

关键词： Datalog distributed systems Cloud Computing Parallelism Overlog BOOM Dedalus Bloom

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A P2P object-oriented database system that supports multi-attribute and range queries with improved query response time

A P2P object-oriented database system that supports multi-at...

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2010 International symposium on Information Technology, ITSim'10

作者： Wei, Goh Chiao Ming, Lim Tong School of Computer Technology Sunway University College Bandar Sunway Malaysia

ISBN: (纸本)9781424467181

Nowadays, the demand for the processing and storing of data has been growing exponentially rapid. The massive demand of these data has limited the traditional way of storing and processing data based on client/server architecture. To overcome this bottleneck, a peer-to-peer object-oriented database is proposed because of its robustness, fault-tolerance, scalability and less administrative nature. Chord is a structured P2P overlay network providing indexing facility enables users to locate a piece of data based on a given key through an efficient routing algorithm. The proposed object-oriented database is built on the openChord, a Chord implementation. In this paper, we present a preliminary design for a P2P object-oriented database on the openChord which supports multi-attribute and range queries. The storing and processing of objects are managed locally to reduce the network traffic. Pointers of objects are stored around the routing path of nodes to efficiently access to a desired object to reduce storage cost and to preserve the object-oriented features. Nodes holding the object pointers are distributed around the network to reduce the lookup time. Nodes are organized into logical class hubs where each hub handles pointers to nodes storing objects belonging to a particular class. Queries involving multi-attributes and ranges are routed to the related class hubs to retrieve the desired objects. Our proposed system will be tested using an Order Picking application for a warehouse with only dozens of nodes connected in a wireless local area network. Tests were carried out with another P2P database system measured on reliability and performance of both P2P database systems. © 2010 IEEE.

关键词： Object-oriented databases

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Performance analysis of distributed software systems. A model-driven approach

Performance analysis of distributed software systems: A mode...

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International symposium on Performance Evaluation of Computer & Telecommunication systems.SPECTS

作者： Issa Traore Isaac Woungang Ahmed Awad El Sayed Ahmed Mohammad S. Obaidat Department of Electrical and Computer Engineering University of Victoria Victoria BC Canada Department of Computer Science Ryerson University Toronto ONT Canada Department of Electrical and Computer Engineering University of Victoria Victoria Canada Department of Computer Science Monmouth University West Long Branch NJ USA

关键词： Unified modeling language Computational modeling Analytical models Time factors software performance Servers

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EICS'09 - proceedings of the ACM SIGCHI symposium on Engineering Interactive Computing systems

EICS'09 - Proceedings of the ACM SIGCHI Symposium on Enginee...

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ACM SIGCHI symposium on Engineering Interactive Computing systems. EICS'09

ISBN: (纸本)9781605586007

The proceedings contain 45 papers. The topics discussed include: engineering more natural interactive programming systems.a responsibility-based pattern language for usability-supporting architectural patterns;ontology-based modularization of user interfaces;flexible and efficient platform modeling for distributed interactive systems.bridging the gulf between interaction engineering and human reliability assessment;a toolkit for peer-to-peer distributed user interfaces: concepts, implementation, and applications;an infrastructure for experience centered agile prototyping of ambient intelligence;support for authoring service front-ends;social network analysis and interactive device design analysis;a bisimulation-based approach to the analysis of human-computer interaction;engineering crowd interaction within smart environments;adapting ubicomp software and its evaluation;plug-and-design: embracing mobile devices as part of the design environment;and toward user interface virtualization: legacy applications and innovative interaction systems.

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tinyDSM: A Highly Reliable Cooperative Data Storage For Wireless Sensor Networks

tinyDSM: A Highly Reliable Cooperative Data Storage For Wire...

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International symposium on Collaborative Technologies and systems

作者： Piotrowski, Krzysztof Langendoerfer, Peter Peter, Steffen IHP D-15236 Frankfurt Germany

ISBN: (纸本)9781424445851

The advantage of a Wireless Sensor Network (WSN) compared to a centric approach is the distribution of sensing suites. However in order for such a system of distributed resources to work in a reliable and effective way a smart cooperation between nodes is needed. In this paper we propose a middleware approach for a highly reliable data storage that helps to assure data availability despite the well known WSN resource problems and disappearing or inactive nodes by providing a reasonable data redundancy in the system. Such a solution helps to ease the design and optimization of the data exchange between nodes as well. Our solution is configurable in order to satisfy the needs of the application on top regarding performance/requirements trade-off. The options specify the quantity and quality of the data replication. Additional features like event mechanism that monitors the data and the possibility to issue database like queries increase the applicability of our middleware. In this paper we focus on the evaluation of its capabilities regarding reliability, the consistency of replicates and the costs of the data management. The simulation results for a reasonable set-up show that the CPU load caused by the data replication is low (below 3 percent) and the average inconsistency time is as small as about 0,06 seconds for a single hop and about 0, 15 seconds for a two hops replication area. There is still room for improvements, but a clear definition of problems helps to find ways to cope with them in order to achieve the chosen goals.

关键词： Cooperative Computing Wireless Sensor Networks software Development distributed Shared Memory distributed Data Storage

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Cassandra: a structured storage system on a P2P network 09

Cassandra: a structured storage system on a P2P network

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proceedings of the twenty-first annual symposium on Parallelism in algorithms and architectures

作者： Avinash Lakshman Prashant Malik Facebook Inc Palo Alto CA USA

ISBN: (纸本)9781605586069

Cassandra is a distributed storage system for managing structured data that is designed to scale to a very large size across many commodity servers, with no single point of failure. reliability at massive scale is a very big challenge. Outages in the service can have significant negative impact. Hence Cassandra aims to run on top of an infrastructure of hundreds of nodes (possibly spread across different datacenters). At this scale, small and large components fail continuously; the way Cassandra manages the persistent state in the face of these failures drives the reliability and scalability of the software systems.relying on this service. Cassandra has achieved several goals -- scalability, high performance, high availability and applicability. In many ways Cassandra resembles a database and shares many design and implementation strategies with databases. Cassandra does not support a full relational data model; instead, it provides clients with a simple data model that supports dynamic control over data layout and format.

关键词： distributed storage system eventual consistency distributed databases

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