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检索条件"任意字段=8th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing"

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IPO-MAXSAT: the In-Parameter-Order Strategy combined with MaxSAT solving for Covering Array Generation

IPO-MAXSAT: The In-Parameter-Order Strategy combined with Ma...

引用

international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Irene Hiess Ludwig Kampel Michael Wagner Dimitris E. Simos MATRIS SBA Research Vienna Austria

Covering arrays (CAs) are combinatorial designs that represent the backbone of combinatorial testing, which is applied most prominently in automated software testing. the generation of optimized CAs is a difficult combinatorial optimization problem being subject to ongoing research. Previous studies have shown that many different algorithmic approaches are best suited for different instances of CAs. In this paper we present the IPO-MAXSAT algorithm, which adopts the prominent inparameter-order (IPO) strategy for CA generation and uses MaxSAT solving to optimize the occurring sub-problems. We devise three different algorithmic variants that use a MaxSAT solver for different sub-problems. these variants are evaluated in an extensive set of experiments where we also consider the usage of different MaxSAT solvers. Further, we provide a comparison against various other algorithms realizing the IPO strategy as well as the state of the art.

关键词： scientific computing Combinatorial testing Software algorithms Optimization

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Service Brokering in Cloud Governance

Service Brokering in Cloud Governance

引用

international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Victor Ion Munteanu Cristina Mindruta Teodor-Florin Fortis Faculty of Mathematics and Informatics Department of Computer Science West University of Timişoara Timisoara Romania Institute e-Austria Timisoara Romania

the dawn of Cloud computing has opened new opportunities for IT-based industries, enabling them to cut costs and extend their businesses to a level which was previously hard to attain. While Cloud adoption is an ongoing process, many enterprises are still reluctant to pursue it because its downside outweighs its benefits, especially due to problems related to security and privacy. Coming from Service Oriented Architecture (SOA) Governance, Cloud Governance aims to cover these issues by offering a set of complementary services to the already available Cloud Management ones. this paper covers one of the core aspects of Cloud Governance, its ability to provide service brokering. A semantic approach is proposed where related services and cloud ontologies as well as brokering mechanisms are discussed.

关键词： Ontologies Semantics Cloud computing Contracts Service-oriented architecture Context Taxonomy

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Optimizing Automotive Cyber-Physical System Specifications with Multi-Event Dependencies

Optimizing Automotive Cyber-Physical System Specifications w...

引用

international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Stefan Andrei Albert Mo Kim Cheng Department of Computer Science Lamar University Beaumont TX USA Department of Computer Science University of Houston Houston TX USA

Cyberphysical systems are changing the way we interact with the physical world. the correctness of many systems and devices in our modern society depends not only on the effects or results they produce but also on the time at which these results are produced. Given the behavioral specification of a system (denoted by SP) and a safety assertion (denoted by SA) to be analyzed, the goal is to relate a given safety assertion with the system specification. Deriving optimal theorems (SP rarr SA) will allow the system designer to determine how far the performance of the processing platform can drift from the norm without violating the SA. this paper deals with this clear fundamental issue in the design and implementation of highly dependable realtime/embedded systems.

关键词： Automotive engineering Real time systems Control systems Sensor arrays Embedded computing Embedded system Physics computing Computer science Safety Sensor systems

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Evaluating Weighted Round Robin Load Balancing for Cloud Web Services

Evaluating Weighted Round Robin Load Balancing for Cloud Web...

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international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Weikun Wang Giuliano Casale Department of Computing Imperial College London UK

Weighted round robin load balancing is a common routing policy offered in cloud load balancers. However, there is a lack of effective mechanisms to decide the weights assigned to each server to achieve an overall optimal revenue of the system. In this paper, we first experimentally explore the relation between probabilistic routing and weighted round robin load balancing policies. From the experiment a similar behavior is found between these two policies, which makes it possible to assign the weights according to the routing probability estimated from queueing theoretic heuristic and optimization algorithms studied in the literature. We focus in particular on algorithms based on closed queueing networks for multi-class workloads, which can be used to describe application with service level agreements differentiated across users. We also compare the efficiency of queueing theoretic methods with simple heuristics that do not require to specify a stochastic model of the application. Results indicate that queueing theoretical algorithms yield significantly better results than routings proportional to the VM capacity with respect to throughput maximization.

关键词： Servers Load management Routing Round robin Heuristic algorithms Optimization Monitoring

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OFBench: An Enterprise Application Benchmark for Cloud Resource Management Studies

OFBench: An Enterprise Application Benchmark for Cloud Resou...

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international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Jean Moschetta Giuliano Casale Department of Computing Imperial College London UK

We introduce OF Bench, a new research benchmark for enterprise applications. OF Bench is a load generator for the demo e-commerce component of the Apache OF Biz enterprise resource planning (ERP) framework. ERP applications are increasingly important in the cloud market due to the growing popularity of Software-as-a-Service (SaaS) solutions, hence OF Bench is useful to explore the resource consumption patterns arising in these applications. On client-side, OF Bench features randomized customer surfing patterns, workload generation based on automation of real web browsers, reproducible burstiness in inter-request and inter-session think times, non-stationary workload generation. On server-side, it features JMX performance monitoring, business logic instrumentation, and synchronization with client-side monitoring via TCP sockets. We illustrate the execution of the benchmark in example runs and use them to investigate the overheads of JMX-based monitoring.

关键词： Benchmark testing Monitoring Browsers Business Databases Java Generators

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Abstract Continuation Semantics for Asynchronous Concurrency

Abstract Continuation Semantics for Asynchronous Concurrency

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international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Gabriel Ciobanu Eneia Nicolae Todoran Institute of Computer Science Romanian Academy Iaşi Department of Computer Science Technical University of Cluj-Napoca Romania

ISBN: (纸本)9781538626276

We investigate the abstractness of denotational models designed with continuation semantics for concurrency over metric spaces. Although there exist papers using continuations in the denotational semantics of concurrent languages, we are not aware of any full abstractness result for a concurrent language designed with continuations. therefore we introduce a new criterion that we name weak abstractness; it preserves the correctness condition, but relaxes the completeness condition of the full abstractness criterion. Weak abstractness may be useful for a wide class of denotational models designed with continuations in which full abstractness is difficult (or impossible) to achieve. To illustrate this approach we present a denotational semantics for a simple asynchronous concurrent language designed with continuation semantics over metric spaces. We show that this denotational semantics is weakly abstract with respect to a corresponding operational model.

关键词： Semantics Extraterrestrial measurements Concurrent computing Computational modeling Context modeling Syntactics

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Social Principles in Agent-Based Trust Management for the Internet of things

Social Principles in Agent-Based Trust Management for the In...

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international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Kalliopi Kravari Nick Bassiliades Department of Informatics Aristotle University of Thessaloniki Thessaloniki Greece

ISBN: (纸本)9781538626276

the Internet of things has the potential to change our daily life. It will create a world where everyone and everything will be connected and knowledge will be diffused in every direction. this open, distributed and heterogeneous environment raises important challenges, such as intelligence and trustworthiness. Intelligent Agents are considered as a technology that can deal with these issues, since they are capable of autonomously representing people, devices or services while a wide range of trust and reputation models have already been proposed. this paper reports on identifying and incorporating social parameters involved in the Internet of things, although it is not considered as a social network, with the use of Intelligent Agents enabling trustworthiness in the environment. More specifically, two paradigms, social graphs and peer-to-peer networks will be discussed while a novel distributed mechanism for locating reliable reports, an important aspect of reputation trust models will be proposed. Finally, a use case scenario is presented that illustrates the viability of the proposed approach.

关键词： Internet of things Peer-to-peer computing Intelligent agents Reliability Social network services Multi-agent systems

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Quality Assurance for Open Source Software Configuration Management

Quality Assurance for Open Source Software Configuration Man...

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international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Stefan Meyer Philip Healy theo Lynn John Morrison Irish Centre for Cloud Computing & Commerce Dublin City University Ireland

Commonly used open source configuration management systems, such as Puppet, Chef and CFEngine, allow for system configurations to be expressed as scripts. A number of quality issues that may arise when executing these scripts are identified. An automated quality assurance service is proposed that identifies the presence of these issues by automatically executing scripts across a range of environments. Test results are automatically published to a format capable of being consumed by script catalogues and social coding sites. this would serve as an independent signal of script trustworthiness and quality to script consumers and would allow developers to be made quickly aware of quality issues. As a result, potential consumers of scripts can be assured that a script is likely to work when applied to their particular environment. Script developers can be notified of compatibility issues and take steps to address them.

关键词： Servers Operating systems Communities Linux Quality assurance Testing

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Performance Improvement of Genetic algorithms by Adaptive Grid Workflows

Performance Improvement of Genetic Algorithms by Adaptive Gr...

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international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Boro Jakimovski Dragan Sahpaski Goran Velinov Institute of Informatics Faculty of Sciences and Mathematics Ss Cyril and Methodius University Skopje Macedonia

In this paper we present improvement of the performance of Grid Direct Acyclic Graph (DAG) workflow genetic algorithm by harnessing the power of High Level Petri-Nets workflow model. Genetic algorithms are very powerful optimization technique that is easily parallelized using different approaches which makes it ideal for the Grid. the High Level Petri-Net workflow model greatly outperforms currently available DAG workflow model available in gLite Grid middleware. Using the flexibility of the High Level Petri-Net workflows we have designed an adaptive workflow that overcomes the heterogeneity and unpredictability of the Grid infrastructure, giving users better and more stable execution times than formerly used DAG workflows. the experimental results obtained by Genetic Algorithm optimization of performance of the Data Warehouse design have shown advantages of the new approach by shortening the optimization time up to 50% for the same CPU time utilization. Another advantage is the increased stability of the time variance of the estimated execution time to approximately 30 minutes for runs on different Grid loads.

关键词： Genetic algorithms Design optimization Middleware Data warehouses Algorithm design and analysis Grid computing Parallel processing Biological cells scientific computing Informatics

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A Model-Driven DevOps Framework for QoS-Aware Cloud Applications

A Model-Driven DevOps Framework for QoS-Aware Cloud Applicat...

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international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Michele Guerriero Michele Ciavotta Giovanni Paolo Gibilisco Danilo Ardagna Dipartimento di Elettronica Informazione e Bioingegneria Politecnico di Milano Milan Italy

Recently we witnessed a deep transformation in the the design, development and management of modern applications, which have grown in scope and size becoming distributed and service-oriented. A big part in this metamorphosis is played by the Cloud with the availability of almost-infinite resources, high availability and outsourced maintenance. this has led to the emergence of new software development methodologies to effectively deal with this paradigm shift in the field of software engineering. DevOps is one of them, it advocates for a greater level of collaboration and convergence between developers and other IT professionals. Consequently, new tools, purposely designed to ease this process, are required. In this scenario, we present SPACE4Cloud, a DevOps integrated environment for model-driven design-time quality of service assessment and optimization, and runtime capacity allocation of Cloud applications.

关键词： Quality of service Runtime Optimization Cloud computing Adaptation models Resource management

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