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Benchmarks in the Cloud: the mOSAIC Benchmarking Framework

Benchmarks in the Cloud: The mOSAIC Benchmarking Framework

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14th international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Rak, Massimiliano Aversano, Giuseppe Univ Naples 2 Dept Informat Engn Via Roma 29 I-81031 Aversa Italy Univ Sannio Dept Informat Engn I-82100 Benevento Italy

ISBN: (纸本)9780769549347;9781467350266

A natural consequence of the pay-per-use business model of Cloud computing, is that Cloud Users need to evaluate and compare different cloud providers in order to choose the best offerings in terms of trade-off among performance and prices. But this is, at the state of art, one of the main lack in the cloud environment: no real grants are offered by providers about the quality of the resources offered and no clear ways exists to compare two different offerings. Moreover the high dynamicity of cloud resources (virtual machines can be added or removed in few minutes) make evaluation of such systems really hard to be done. In this paper we propose a framework for building ad-hoc benchmark applications, whose behaviour is strictly related with user needs and which can be used to compare different provider. the framework is based on the mOSAIC project, which offers a deployable platform and an API for building provider-independent applications. Due to such independence we are able to directly compare different cloud offers. the paper proposes a detailed analysis of the state of art and of the problem of benchmarking in cloud environment, before detailing the proposed architecture and illustrating it briefly with an example.

关键词： Cloud computing Benchmark Cloud Application mOSAIC

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From the Desktop to the Multi-clouds: the case of ModelioSaaS

From the Desktop to the Multi-clouds: The case of ModelioSaa...

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15th international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： da Silva, Marcos Aurelio Almeida Abherve, Antonin Sadovykh, Andrey SOFTEAM R&D Paris France

ISBN: (纸本)9781479930357

the advent of cloud computing is an opportunity to companies offering client-server services to migrate to a Software as a Service (SaaS) kind of business model. this kind of business model is based on having companies offering services on the cloud accessible by means of web interfaces and protocols. this comes in opposition to the traditional (client-server) model in which software packages need to be downloaded, installed and maintained directly by clients. therefore, the SaaS could allow the definition of high level services, removing the burden of configuring and managing servers from clients. In the point of view of the service providers, this transition is not easy. Concerns such as vendor neutral design, scalability, (self-)adaptation and monitoring of running applications need to be dealt with. the MODAClouds FP7 EU project proposes to deal with all these challenges and it is going to use ModelioSaaS as a use case. ModelioSaaS is a software as a service product to be offered by SOFTEAM by means of the migration of its existing client-server based products. the main contributions of this paper are therefore providing an account, from the industrial point of view, of the context surrounding this migration and the constraints it needs to comply to. these constraints will be presented in the form of functional and non-functional requirements along with their rationale. this paper presents our current view of the architecture of ModelioSaaS that will enable this move and the gaps that we intend to fill be means of the MODAClouds platform.

关键词： cloud computing migration legacy applications

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Continuation Semantics for Dynamic Hierarchical Systems 17

Continuation Semantics for Dynamic Hierarchical Systems

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17th international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Ciobanu, Gabriel Todoran, Eneia Nicolae Romanian Acad Inst Comp Sci Iasi Romania Tech Univ Cluj Napoca Dept Comp Sci Cluj Napoca Romania

ISBN: (纸本)9781509004614

We present a denotational semantics designed with metric spaces and continuations for a simple concurrent language L-MB embodying a representative set of features encountered in membrane computing. L-MB is a multiset rewriting language. In L-MB multisets of objects are encapsulated in hierarchical structures of compartments, or regions, delimited by membranes. the behaviour of each membrane is specified by means of multiset rewriting rules. the semantics of parallel composition in L-MB is based on the concept of maximal parallelism. Computations proceed according to the multiset rewriting rules, nondeterministically choosing the rules and the objects. Membranes can be grouped into classes based on the rewriting rules that they encapsulate;L-MB also provides a primitive for membrane creation, or instantiation. In this sense, L-MB is similar to an object oriented language. We use continuations and a powerdomain construction to represent nondeterministic behavior. An element of a powerdomain is a collection of sequences of observables representing dynamic membrane structures. Our continuation semantics describes in a compositional manner the behavior of an L-MB program as a dynamic hierarchical system. As far as we know, this is the first paper that presents a metric denotational semantics for the combination of features embodied in L-MB.

关键词： metric semantics continuations parallel multiset rewriting dynamic hierarchical system membrane computing

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On computing Solutions of Linear Diophantine Equations with One Non-linear Parameter

On Computing Solutions of Linear Diophantine Equations with ...

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10th international symposium on symbolic and numeric algorithms for scientific computing

作者： Groesslinger, Armin Schuster, Stefan Univ Passau Dept Math & Informat D-94030 Passau Germany

ISBN: (纸本)9780769535234

We present an algorithm for solving Diophantine equations which are linear in the variables, but non-linear in one parameter. We are looking for the pointwise solutions, i.e., the solutions for the unknowns in dependence of the value of the parameter. Solving Diophantine equations is central to computing the data dependences of certain codes (loops with certain array accesses) which often occur in scientific computing. Our algorithm enables the computation of data dependences in more general situations than is possible with current algorithms.

关键词： linear diophantine equations non-linear parameter quasi-polynomials automatic loop parallelization polyhedron model

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Cloud4SOA: Multi-Cloud Application Management Across PaaS Offerings

Cloud4SOA: Multi-Cloud Application Management Across PaaS Of...

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14th international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： D'Andria, Francesco Bocconi, Stefano Gorronogoitia Cruz, Jesus Ahtes, James Zeginis, Dimitris ATOS Spain SA Av Diagonal 200 Barcelona 08018 Spain Cyntelix Corp BV NL-3771 LL Barneveld Netherlands Ctr Res & Technol Hellas Thessaloniki 57001 Greece

ISBN: (纸本)9780769549347;9781467350266

Cloud Platform as a Service (PaaS) is a novel paradigm that enables software developers to create (develop or integrate), deploy, execute, and manage business applications, using a service provided by a third party. the diversity and heterogeneity of the existing PaaS offerings raises several interoperability challenges. the actual Platform as a Service market is still quite young, chaotic and highly fragmented, dominated by a few providers which use and promote incompatible standards and formats. this introduces adoption barriers due to the lock-in issues that prevent the portability of data and software from one PaaS to another. Moreover, software developers do not only need to deploy applications into a specific Cloud platform, but also to migrate applications from one Cloud platform to another, and to manage distributed applications spanning multiple PaaS. In this paper, we present a multi-cloud PaaS management as a result of the Cloud4SOA European project that addresses these challenges.

关键词： Cloud computing Platform as a Service Multi-cloud Management interoperability portability

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Reliable management of virtualized resources using fault trees 16

Reliable management of virtualized resources using fault tre...

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16th international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Butoi, Alexandru Stan, Alexandru Silaghi, Gheorghe Cosmin Univ Babes Bolyai R-3400 Cluj Napoca Romania

ISBN: (纸本)9781479984480

the new trends in distributed computing has changed the way we do computing when talking about cloud infrastructures or high-performance computing. Resource virtualization technologies enabled elasticity of resource provisioning and management through easy replication of virtual nodes or virtual machine migration. In order to provide high availability and reliability in such distributed environments where resources are managed and served in form of virtual machines, specific load balancing and fault strategies are needed. Based on fault tree analysis concepts, we propose a distributed and autonomous approach to manage faults using fault agents able to asses and predict for each virtualized node, its state of fault or future fault. Accordingly, each node can take a decision about accepting future jobs, delegate jobs to own replicated instances or start a live migration process as a second strategy for assuring availability and continuity of the service.

关键词： cloud computing fault tolerant computing fault trees parallel processing resource allocation virtual machines virtualisation cloud infrastructures distributed computing fault agents fault tree analysis high-performance computing load balancing reliable virtualized resource management resource provisioning resource virtualization technologies virtual machine migration Cloud computing Computational modeling Fault tolerance Fault tolerant systems Fault trees Virtual machining Fault trees virtual machines Cloud computing Virtualization Fault tolerant systems Distributed computing Fault tolerant computing Fault tree analysis High Performance computing Load balancing Fault tolerance Computational modeling PARALLEL PROCESSING (COMPUTERS) Resource utilization virtual machining

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Application Deployment and Management in the Cloud 16

Application Deployment and Management in the Cloud

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16th international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Miglierina, Marco Politecn Milan DEIB Milan Italy

ISBN: (纸本)9781479984480

Cloud computing is a revolutionary paradigm that allows to acquire infinite resources on demand and pay only for the actual use. Together with novel software development methodologies, such as Agile and DevOps, the cloud can really help companies in responding to market demand for continuous delivering innovative services, enabling the shift from a silo based release process, where customers, developers and system administrators are almost conflicting among each other, to a unified process, where the shared final objective is that of making the product available to the user. there are two main challenges that have to be faced when approaching the cloud. First of all, the heterogeneity of the offer. More and more cloud services are growing from different providers with no standard yet defined, driving companies towards the lock-in problem. Second, having the possibility to scale from 10s to 1000s of machines implies huge effort in IT management without smart automation systems. this paper is an attempt to review some of the tools among the currently available ones that may help companies simplifying their application release process.

关键词： cloud computing Agile DevOps IT management application deployment application management application release process cloud services continuous delivering innovative services market demand revolutionary paradigm shared final objective silo based release process system administrators Automation Companies Containers Software Standards Virtual machining devops Cloud computing system administrator Companies virtual machines computer software CONTAINERS Automation virtual machining CLOUDS Clouds APPLICATION MANAGEMENT

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Workflow Management for symbolic Grid Services

Workflow Management for Symbolic Grid Services

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10th international symposium on symbolic and numeric algorithms for scientific computing

作者： Carstea, Alexandru Macariu, Georgiana Frincu, Marc Petcu, Dana Inst E Austria Timisoara Romania

ISBN: (纸本)9780769535234

the development of software systems for scientific exploration and discovery through computation has an important issue to address: the management of underlying computational steps. To support composition of Web and Grid services, standard workflow languages and workflow execution engines were built but management capabilities are not yet entirely explored. In the context of Grid services, we propose a solution for controlling the execution of workflows without the assistance of a user interface oriented workflow engine. We also investigate the capabilities that our solution may offer for related features such as dynamic retrieval of partial results, steering and provenance.

关键词： Workflow management

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Performance Improvements for the "Linear Nonadiabatic Nonradial Waves" Pulsational Model 16

Performance Improvements for the "Linear Nonadiabatic Nonrad...

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16th international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Tirsa, Mihai Ovidiu Slusanschi, Emil-Ioan Suran, Marian Doru Univ Politech Bucharest Fac Automat Control & Comp Sci Bucharest 060042 Romania Acad Romana Astron Inst Bucharest 040557 Romania

ISBN: (纸本)9781479984480

Asteroseismology is an emerging branch of astrophysics that studies the interior and global parameters of pulsating stars, based on their natural oscillation frequency. this work proposes different methods for increasing the performance of LNAWENR (Linear NonAdiabatic NonRadial WavEs), a computational intensive pulsational model that studies stars based on their seismic properties. As part of the asteroseismological package ROMOSC, LNAWENR is one of the several non-adiabatic models in use now by the international astrophysics and space science community. the model was implemented to study data from NASA's CoRoT mission. the improved version aims to be used for NASA's KEPLER mission. In this context, we employed several serial and parallel code optimizations. the programming frameworks used for the parallel optimizations are OpenMP and OpenCL.

关键词： astronomical techniques astronomy computing open systems parallel programming stellar pulsations LNAWENR NASA CoRoT mission NASA KEPLER mission asteroseismological package ROMOSC asteroseismology astrophysics international astrophysics linear nonadiabatic nonradial wave pulsational model natural oscillation frequency parallel code optimizations parallel optimizations programming frameworks pulsating stars seismic properties space science community Arrays Computational modeling Equations Mathematical model Optimization Oscillators Software Asteroseismology Open CL Open MP parallelization performance optimization asteroseismology Seismic properties Astrophysics stellar pulsations Parallel programming Computational modeling Oscillators parallelization open systems oscillation frequency Mathematical Model nonradial computer software

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Evaluating Weighted Round Robin Load Balancing for Cloud Web Services 16

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

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16th international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Wang, Weikun Casale, Giuliano Univ London Imperial Coll Sci Technol & Med Dept Comp London SW7 2AZ England

ISBN: (纸本)9781479984480

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 than routings proportional to the VM capacity with respect to throughput maximization.

关键词： Web services cloud computing contracts resource allocation VM capacity closed queueing networks cloud Web services cloud load balancers multiclass workloads optimal revenue optimization algorithms probabilistic routing policy queueing theoretic heuristic queueing theoretic methods routing probability service level agreements stochastic model throughput maximization weighted round robin load balancing policies Heuristic algorithms Load management Monitoring Optimization Round robin Routing Servers Round robin Service level agreements Optimization algorithms Servers Web Service Stochastic models load management Network routing Heuristic algorithms Queueing networks Cloud computing contract Resource utilization Load balancing

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