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Multi-objective list scheduling of workflow applications in distributed computing infrastructures

JOURNAL OF PARALLEL AND distributed computing 2014年第3期74卷 2152-2165页

作者： Fard, Hamid Mohammadi Prodan, Radu Fahringer, Thomas Univ Innsbruck Inst Comp Sci A-6020 Innsbruck Austria

Executing large-scale applications in distributed computing infrastructures (DCI), for example modern Cloud environments, involves optimization of several conflicting objectives such as makespan, reliability, energy, or economic cost. Despite this trend, scheduling in heterogeneous DCIs has been traditionally approached as a single or bi-criteria optimization problem. In this paper, we propose a generic multi-objective optimization framework supported by a list scheduling heuristic for scientific workflows in heterogeneous DCIs. The algorithm approximates the optimal solution by considering user-specified constraints on objectives in a dual strategy: maximizing the distance to the user's constraints for dominant solutions and minimizing it otherwise. We instantiate the framework and algorithm for a four-objective case study comprising makespan, economic cost, energy consumption, and reliability as optimization goals. We implemented our method as part of the ASKALON environment (Fahringer et al., 2007) for Grid and Cloud computing and demonstrate through extensive real and synthetic simulation experiments that our algorithm outperforms related bi-criteria heuristics while meeting the user constraints most of the time. (C) 2013 Elsevier Inc. All rights reserved.

关键词： Multi-objective scheduling Scientific workflows distributed computing infrastructures

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A Set of Successive Job Allocation Models in distributed computing infrastructures

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JOURNAL OF GRID computing 2016年第2期14卷 347-358页

作者： Bacso, Gabor Kis, Tamas Visegradi, Adam Kertesz, Attila Nemeth, Zsolt MTA SZTAKI Comp & Automat Res Inst POB 63 H-1518 Budapest Hungary

The growing number of scientific computation-intensive applications calls for an efficient utilization of large-scale, potentially interoperable distributed infrastructures. Parameter sweep applications represent a large body of workflows. While the principle of workflows is easy to conceive, their execution is very complex and no universally accepted solution exists. In this paper we focus on the resource allocation challenges of parameter study jobs in distributed computing infrastructures. To cope with this NP-hard problem and the high uncertainty present in these systems, we propose a series of job allocation models that helps refining and simplifying the problem complexity. In this way we present some special cases that are polynomial and show how more complex scenarios can be reduced to these models. It is known from practice that a small number of job sizes improves the result of job allocation, therefore we state a hypothesis relying on this fact in one of our models. Unfortunately, the reduction of the general problem (using K-means clustering) did not help, and thus the hypothesis has proved to be false. In the future, we shall look for clustering techniques which fit this goal better.

关键词： distributed computing infrastructures Job allocation Parameter sweep applications

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SLA-based management of software licenses as web service resources in distributed computing infrastructures

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FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE 2012年第8期28卷 1340-1349页

作者： Cacciari, Claudio Mallmann, Daniel Zsigri, Csilla D'Andria, Francesco Hagemeier, Bjorn Rumpl, Angela Ziegler, Wolfgang Martrat, Josep Fraunhofer Inst SCAI Dept Bioinformat D-53754 St Augustin Germany CINECA I-40033 Casalecchio Di Reno Italy Forschungszentrum Julich D-52428 Julich Germany 451 Grp London England Atos Origin Res & Innovat Barcelona 08011 Spain

Until recently the use of applications requiring a software license for execution was quite limited in distributed environments. Due to the mandatory centralised control of license usage at application runtime, e.g. heartbeat control by the license server running at the home site of a user, traditional software licensing practices are not suitable especially when the distributed computing infrastructure stretches across administrative domains. In this paper we present a novel approach for managing software licenses as web service resources in distributed service oriented environments. Licenses become mobile objects, which may travel to the environment where required to authorise the execution of a license protected application. A first implementation has been realised for dynamic Grid environments in the European SmartLM project co-funded by the European Commission. The SmartLM solution decouples authorisation for license usage from authorisation for application execution. All authorisations are expressed as and guaranteed by Service Level Agreements. We will present the core technology, discuss various security aspects and how they are addressed in the SmartLM prototype, and present the evaluation of the prototype through a number of usage scenarios. Finally, we will give an outlook on specific issues and current work extending the solution to Clouds and service based systems in general. (C) 2011 Elsevier B.V. All rights reserved.

关键词： distributed computing infrastructures Service level agreements Software licensing Security

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Analyzing and Modeling of Medical Data on distributed computing infrastructures

Analyzing and Modeling of Medical Data on Distributed Comput...

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47th Annual Hawaii International Conference on System Sciences

作者： Terstyanszky, Gabor Kiss, Tamas Korkhov, Vladimir Olabarriaga, Silvia D. Univ Westminster London W1R 8AL England

ISBN: (纸本)9781479925049

Researchers want to analyse Health Care data which may requires large pools of compute and data resources. To have them they need access to distributed computing infrastructures (DCI) To use them it requires expertise which researchers may not have. Workflows can hide infrastructures. There are many workflow systems but they are not interoperable. To learn a workflow system and create workflows in a workflow system may require significant effort. Considering these efforts it is not reasonable to expect that researchers will learn new workflow systems if they want to run workflows of other workflow systems. As a result, the lack of interoperability prevents workflow sharing and a vast amount of research efforts is wasted. The FP7 Sharing Interoperable Workflow for Large-Scale Scientific Simulation on Available DCIs (SHIWA) project developed the Coarse-Grained Interoperability (CGI) to enable workflow sharing. The project created the SHIWA Simulation Platform (SSP) to support CGI as a production-level service. The paper describes how the CGI approach can be used for analysis and simulation in Health Care.

关键词： data analysis health care medical computing open systems CGI DCI FP7 sharing interoperable workflow-for-large-scale scientific simulation SHIWA simulation platform SSP coarse-grained interoperability distributed computing infrastructures health care data analysis medical data analysis medical data modeling production-level service workflow sharing prevention workflow system Communities Computational modeling Educational institutions Engines Interoperability Portals Web services medical data simulation platform workflow

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SpeQuloS: a QoS service for hybrid and elastic computing infrastructures

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CLUSTER computing-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS 2014年第1期17卷 79-100页

作者： Delamare, Simon Fedak, Gilles Kondo, Derrick Lodygensky, Oleg Univ Lyon CNRS Lyon France Univ Lyon INRIA Lyon France Univ Grenoble INRIA Grenoble France Univ Paris 11 IN2P3 Paris France

The large choice of distributed computing infrastructures (DCIs) available allows users to select and combine their preferred architectures amongst Clusters, Grids, Clouds, Desktop Grids and more. In these hybrid DCIs, elasticity is emerging as a key property. In elastic infrastructures, resources available to execute application continuously vary, either because of application requirements or because of constraints on the infrastructure, such as node volatility. In the former case, there is no guarantee that the computing resources will remain available during the entire execution of an application. In this paper, we show that Bag-of-Tasks (BoT) execution on these "Best-Effort" infrastructures suffer from a drop of the task completion rate at the end of the execution. The SpeQuloS service presented in this paper improves the Quality of Service (QoS) of BoT applications executed on hybrid and elastic infrastructures. SpeQuloS monitors the execution of the BoT, and dynamically supplies fast and reliable Cloud resources when the critical part of the BoT is executed. SpeQuloS offers several features to hybrid DCIs users, such as estimating completion time and execution speedup. Performance evaluation shows that BoT executions can be accelerated by a factor 2, while offloading less than 2.5 % of the workload to the Cloud. We report on several scenarios where SpeQuloS is deployed on hybrid infrastructures featuring a large variety of infrastructures combinations. In the context of the European Desktop Grid Initiative (EDGI), SpeQuloS is operated to improve QoS of Desktop Grids using resources from private Clouds. We present a use case where SpeQuloS uses both EC2 regular and spot instances to decrease the cost of computation while preserving a similar QoS level. Finally, in the last scenario SpeQuloS allows to optimize Grid5000 resources utilization.

关键词： distributed computing infrastructures QoS Grids Cloud

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A Virtual Imaging Platform for Multi-Modality Medical Image Simulation

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IEEE TRANSACTIONS ON MEDICAL IMAGING 2013年第1期32卷 110-118页

作者： Glatard, Tristan Lartizien, Carole Gibaud, Bernard da Silva, Rafael Ferreira Forestier, Germain Cervenansky, Frederic Alessandrini, Martino Benoit-Cattin, Hugues Bernard, Olivier Camarasu-Pop, Sorina Cerezo, Nadia Clarysse, Patrick Gaignard, Alban Hugonnard, Patrick Liebgott, Herve Marache, Simon Marion, Adrien Montagnat, Johan Tabary, Joachim Friboulet, Denis Univ Lyon CREATIS F-69621 Villeurbanne France Univ Rennes 1 INSERM INRIA CNRSVISAGESU746 F-35042 Rennes France MODALIS Team Lab I3S UNS CNRS F-06903 Sophia Antipolis France CEA LETI MINATEC F-38054 Grenoble 09 France CNRS UMR5220 F-69621 Villeurbanne France INSERM U1044 F-69621 Villeurbanne France Inst Natl Sci Appl F-69621 Villeurbanne France Univ Lyon 1 F-69621 Villeurbanne France

This paper presents the Virtual Imaging Platform (VIP), a platform accessible at http://*** to facilitate the sharing of object models and medical image simulators, and to provide access to distributed computing and storage resources. A complete overview is presented, describing the ontologies designed to share models in a common repository, the workflow template used to integrate simulators, and the tools and strategies used to exploit computing and storage resources. Simulation results obtained in four image modalities and with different models show that VIP is versatile and robust enough to support large simulations. The platform currently has 200 registered users who consumed 33 years of CPU time in 2011.

关键词： distributed computing infrastructures medical image simulation ontology workflows

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Controlling fairness and task granularity in distributed, online, non-clairvoyant workflow executions

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CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 2014年第14期26卷 2347-2366页

作者： da Silva, Rafael Ferreira Glatard, Tristan Desprez, Frederic Univ Lyon INSERM CNRS CREATIS Villeurbanne France Univ So Calif Inst Informat Sci Marina Del Rey CA 90292 USA McGill Univ Montreal Neurol Inst McConnell Brain Imaging Ctr Montreal PQ Canada Univ Lyon INRIA LIP ENS Lyon Lyon France

distributed computing infrastructures are commonly used for scientific computing, and science gateways provide complete middleware stacks to allow their transparent exploitation by end users. However, administrating such systems manually is time consuming and sub-optimal because of the complexity of the execution conditions. Algorithms and frameworks aiming at automating system administration must deal with online and non-clairvoyant conditions, where most parameters are unknown and evolve over time. We consider the problem of controlling task granularity and fairness among scientific workflows executed in these conditions. We present two self-managing loops monitoring the fineness, coarseness, and fairness of workflow executions, comparing these metrics with thresholds extracted from knowledge acquired in previous executions and planning appropriate actions to maintain these metrics to appropriate ranges. Experiments on the European Grid Infrastructure show that our task granularity control can speed up executions up to a factor of 2 and that our fairness control reduces slowdown variability by 3-7 compared with first-come, first-served. We also study the interaction between granularity control and fairness control: our experiments demonstrate that controlling task granularity degrades fairness but that our fairness control algorithm can compensate this degradation. Copyright (C) 2014 John Wiley & Sons, Ltd.

关键词： distributed computing infrastructures task granularity fairness scientific workflows online conditions non-clairvoyant conditions

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Web Services as Building Blocks for Science Gateways in Astrophysics

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JOURNAL OF GRID computing 2016年第4期14卷 673-685页

作者： Sanchez-Exposito, S. Martin, P. Ruiz, J. E. Verdes-Montenegro, L. Garrido, J. Sirvent, R. Ruiz Falco, A. Badia, R. M. Lezzi, D. CSIC Inst Astrofis Andalucia Glorieta Astron S-N E-18008 Granada Spain Fdn Ctr Supercomp Castilla & Leon Edificio CRAI TICCampus Vegazana S-N Leon 24071 Spain Barcelona Supercomp Ctr Jordi Girona 29 Barcelona 08034 Spain

An efficient exploitation of distributed computing infrastructures (DCIs) is needed to deal with the data deluge that the scientific community is facing, in particular the Astrophysics one due to the emerging Square Kilometre Array (SKA) telescope that will reach data rates in the exascale domain. Hence, Science Gateways are being enriched with advanced tools that not only enable the scientists to build their experiments but also to optimize their adaptation to different infrastructures. In this work we present a method, called "two-level workflow system", to build this kind of tools and we apply it to a set of analysis tasks of interest for some use applications to the SKA. This method uses the Software-as-a-Service model to keep the scientists insulated from technical complexity of DCIs, and the COMPSs programming model to achieve an efficient use of the computing resources.

关键词： Astronomy Virtual observatory Web services Workflows Science gateways distributed computing infrastructures

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WS-PGRADE/gUSE Generic DCI Gateway Framework for a Large Variety of User Communities

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JOURNAL OF GRID computing 2012年第4期10卷 601-630页

作者： Kacsuk, Peter Farkas, Zoltan Kozlovszky, Miklos Hermann, Gabor Balasko, Akos Karoczkai, Krisztian Marton, Istvan MTA SZTAKI H-1518 Budapest Hungary

The WS-PGRADE/gUSE generic DCI gateway framework has been developed to support a large variety of user communities. It provides a generic purpose, workflow-oriented graphical user interface to create and run workflows on various DCIs including clusters, Grids, desktop Grids and clouds. The framework can be used by NGIs to support small user communities who cannot afford to develop their own customized science gateway. The WS-PGRADE/gUSE framework also provides two API interfaces (Application Specific Module API and Remote API) to create application-specific science gateways according to the needs of different user communities. The paper describes in detail the workflow concept of WS-PGRADE, the DCI Bridge service that enables access to most of the popular European DCIs and the Application Specific Module and Remote API concepts to generate application-specific science gateways.

关键词： Science gateway Customized interface Workflow distributed computing infrastructures

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OddCI-Ginga: A Platform for High Throughput computing Using Digital TV Receivers

OddCI-Ginga: A Platform for High Throughput Computing Using ...

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ACM/IEEE 13th International Conference on Grid computing (GRID)

作者： Costa, Rostand Bezerra, Diogo Henrique D. Vieira, Dienert A. Brasileiro, Francisco Sousa, Denio Mariz Souza Filho, Guido Fed Univ Paraiba UFPB Digital Video Applicat Lab LAVID Joao Pessoa Paraiba Brazil Univ Fed Campina Grande Distribut Syst Lab Campina Grande Brazil

ISBN: (纸本)9780769548159

OddCI is a new architecture for distributed computing that is, at same time, flexible and highly scalable. Previous works have demonstrated the theoretical feasibility of implementing the proposed architecture on a digital television (DTV) network, but without taking into consideration any practical issues or details. This paper describes the implementation of a proof of concept for the architecture, called OddCI-Ginga, using a testbed based on DTV receivers compatible with the Brazilian DTV System. Performance tests using real broadcast transmission and the return channel demonstrate the feasibility of the model and its usefulness as a platform for efficient and scalable distributed computing.

关键词： High throughput computing bag-of-tasks distributed computing infrastructures broadcast networks digital tv set-top-boxes

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