2008
Authors
Paulino, Herve; Lopes, LuisM.B.;
Publication
CoRR
Abstract
2009
Authors
Martins, F; Lopes, LMB; Barros, J;
Publication
Proceedings Second International Workshop on Programming Language Approaches to Concurrency and Communication-cEntric Software, PLACES 2009, York, UK, 22nd March 2009.
Abstract
2012
Authors
Martins, F; Lopes, LMB; Paulino, H;
Publication
S-CUBE
Abstract
2011
Authors
Kirsch, CM; Lopes, L; Marques, ERB; Sokolova, A;
Publication
Proceedings - International Conference on Application of Concurrency to System Design, ACSD
Abstract
We consider a methodology for flexible software design, runtime programming, defined by recurrent, incremental software modifications to a program at runtime, called runtime patches. The principles we consider for runtime programming are model preservation and scalability. Model preservation means that a runtime patch preserves the programming model in place for programs - in terms of syntax, semantics, and correctness properties - as opposed to an "ad-hoc", disruptive operation, or one that requires an extra level of abstraction. Scalability means that, for practicality and performance, the effort in program compilation required by a runtime patch should ideally scale in proportion to the change induced by it. We formulate runtime programming over an abstract model for component-based concurrent programs, defined by a modular relation between the syntax and semantics of programs, plus built-in notions of initialization and quiescence. The notion of a runtime patch is defined over these assumptions, as a model-preserving transition between two programs and respective states. Additionally, we propose an incremental compilation framework for scalability in patch compilation. The formulation is put in perspective through a case-study instantiation over a language for distributed hard real-time systems, the Hierarchical Timing Language (HTL). © 2011 IEEE.
2012
Authors
Kirsch, CM; Lopes, L; Marques, ERB; Sokolova, A;
Publication
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Abstract
We propose a methodology for flexible software design, runtime programming, by means of incremental software modifications at runtime. Runtime programming acknowledges that software designs are often incomplete, and require the flexibility of change, e.g., fixing bugs or introducing new features, without disruption of their service. This flexibility is much needed for critical software that generally needs to handle uncertainty, e.g. cloud computing or cyber-physical systems, due to dynamic requirements of composition, service, or performance. Runtime modifications should be allowed recurrently, and, thus, be handled as a common case of system functionality in predictable and efficient manner, with proper understanding of inherent functional and non-functional aspects. The work in many diverse research communities with related concerns typically tends to take a partial and domain-specific view of the problem, hence comprehensive and general methodologies are in order. In this extended abstract, we make a summary of the runtime programming proposal of [4]. The work follows up on a preliminary formulation of runtime programming [3], and work on modular compilation of real-time programs [2]. © 2012 Springer-Verlag.
2005
Authors
Bettini, L; De Nicola, R; Falassi, D; Lacoste, M; Lopes, L; Oliveira, L; Paulino, H; Vasconcelos, VT;
Publication
GLOBAL COMPUTING
Abstract
We describe the architecture and the implementation of the MIKADO software framework, that we call IMC (Implementing Mobile Calculi). The framework aims at providing the programmer with primitives to design and implement run-time systems for distributed process calculi. The paper describes the four main components of abstract machines for mobile calculi (node topology, naming and binding, communication protocols and mobility) that have been implemented as Java packages. The paper also contains the description of a prototype implementation of a run-time system for the Distributed Pi-Calculus relying on the presented framework.
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