Autonomic management of non-functional concerns in distributed &amp;#x00026; parallel application programming

Abstract. This paper describes the ParaPhrase project, a new 3-year targeted research project funded under EU Framework 7 Objective 3.4 (Computer Systems), starting in October 2011. ParaPhrase aims to follow a new approach to introducing parallelism using advanced refactoring techniques coupled with high-level parallel design patterns. The refactoring approach will use these design patterns to restructure programs defined as networks of software components into other forms that are more suited to parallel execution. The programmer will be aided by high-level cost information that will be integrated into the refactoring tools. The implementation of these patterns will then use a wellunderstood algorithmic skeleton approach to achieve good parallelism.A key ParaPhrase design goal is that parallel components are intended to match heterogeneous architectures, defined in terms of CPU/GPU combinations, for example. In order to achieve this, the ParaPhrase approach will map components at link time to the available hardware, and will then re-map them during program execution, taking account of multiple applications, changes in hardware resource availability, the desire to reduce communication costs etc. In this way, we aim to develop a new approach to programming that will be able to produce software that can adapt to dynamic changes in the system environment. Moreover, by using a strong component basis for parallelism, we can achieve potentially significant gains in terms of reducing sharing at a high level of abstraction, and so in reducing or even eliminating the costs that are usually associated with cache management, locking, and synchronisation.

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“…This approach extends the experience of the Universities of Pisa and Torino in Behavioural Skeletons [5,2,4]. Divisible Workloads.…”

Section: Related Workmentioning

confidence: 71%

“…Divisible Workloads. This approach builds on previous work from several partners including that of Robert Gordon University on statistical scheduling of divisible workloads [30] and the systematic introduction of adaptivity into parallel patterns and skeletons [29,31,4].…”

Section: Related Workmentioning

confidence: 99%

The ParaPhrase Project: Parallel Patterns for Adaptive Heterogeneous Multicore Systems

Hammond

Aldinucci²,

Brown

et al. 2013

Formal Methods for Components and Objects

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“…it is possible to simultaneously control different parameters as performance and security objectives). In this case the solution proposed in (Aldinucci et al, 2009) each one controlling a specific non-functional concern by using a set of event-condition-action (ECA) policy rules. Different policies can lead to some conflicting decisions: in this case the authors propose distributed consensus-based solutions.…”

Section: Existing Programming Models For High-performance Adaptive Apmentioning

confidence: 99%

Developing Real-Time Emergency Management Applications: Methodology for a Novel Programming Model Approach

Mencagli¹,

Vanneschi²

2012

Emergency Management

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The last years have been characterized by the arising of highly distributed computing\ud \ud platforms composed of a heterogeneity of computing and communication resources including\ud \ud centralized high-performance computing architectures (e.g. clusters or large shared-memory\ud \ud machines), as well as multi-/many-core components also integrated into mobile nodes\ud \ud and network facilities. The emerging of computational paradigms such as Grid and Cloud\ud \ud Computing, provides potential solutions to integrate such platforms with data systems, natural\ud \ud phenomena simulations, knowledge discovery and decision support systems responding to a\ud \ud dynamic demand of remote computing and communication resources and services.\ud \ud In this context time-critical applications, notably emergency management systems, are\ud \ud composed of complex sets of application components specialized for executing specific\ud \ud computations, which are able to cooperate in such a way as to perform a global goal in a\ud \ud distributed manner. Since the last years the scientific community has been involved in facing\ud \ud with the programming issues of distributed systems, aimed at the definition of applications\ud \ud featuring an increasing complexity in the number of distributed components, in the spatial\ud \ud distribution and cooperation between interested parties and in their degree of heterogeneity.\ud \ud Over the last decade the research trend in distributed computing has been focused on\ud \ud a crucial objective. The wide-ranging composition of distributed platforms in terms of\ud \ud different classes of computing nodes and network technologies, the strong diffusion of\ud \ud applications that require real-time elaborations and online compute-intensive processing as\ud \ud in the case of emergency management systems, lead to a pronounced tendency of systems\ud \ud towards properties like self-managing, self-organization, self-controlling and strictly speaking\ud \ud adaptivity.\ud \ud Adaptivity implies the development, deployment, execution and management of applications\ud \ud that, in general, are dynamic in nature. Dynamicity concerns the number and the specific\ud \ud identification of cooperating components, the deployment and composition of the most\ud \ud suitable versions of software components on processing and networking resources and\ud \ud services, i.e., both the quantity and the quality of the application components to achieve\ud \ud the needed Quality of Service (QoS). In time-critical applications the QoS specification\ud \ud can dynamically vary during the execution, according to the user intentions and the\ud \ud Developing Real-Time Emergency\ud \ud Management Applications: Methodology for\ud \ud a Novel Programming Model Approach\ud \ud Gabriele Mencagli and Marco Vanneschi\ud \ud Department of Computer Science, University of Pisa, L. Bruno Pontecorvo, Pisa\ud \ud Italy\ud \ud 2\ud \ud 2 Will-be-set-by-IN-TECH\ud \ud information produced by sensors and services, as well as according ...

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“…The corrective actions are usually taken from a library of known actions and the chosen action is determined by the result of the analysis phase. Finally, the actions planned are applied to the application during the execute phase [13,14,15,16,17,18].…”

Section: Behavioural Skeletonsmentioning

confidence: 99%

Integrating Autonomic Grid Components and Process-Driven Business Applications

Weigold

Aldinucci

Danelutto

et al. 2010

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Abstract. Today's business applications are increasingly process driven, meaning that the main application logic is executed by a dedicate process engine. In addition, component-oriented software development has been attracting attention for building complex distributed applications. In this paper we present the experiences gained from building a process-driven biometric identification application which makes use of Grid infrastructures via the Grid Component Model (GCM). GCM, besides guaranteeing access to Grid resources, supports autonomic management of notable parallel composite components. This feature is exploited within our biometric identification application to ensure real time identification of fingerprints. Therefore, we briefly introduce the GCM framework and the process engine used, and we describe the implementation of the application using autonomic GCM components. Finally, we summarize the results, experiences, and lessons learned focusing on the integration of autonomic GCM components and the process-driven approach.

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Autonomic management of non-functional concerns in distributed & parallel application programming

Cited by 23 publications

References 12 publications

The ParaPhrase Project: Parallel Patterns for Adaptive Heterogeneous Multicore Systems

The ParaPhrase Project: Parallel Patterns for Adaptive Heterogeneous Multicore Systems

Developing Real-Time Emergency Management Applications: Methodology for a Novel Programming Model Approach

Integrating Autonomic Grid Components and Process-Driven Business Applications

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