6,907 research outputs found
A deliberative model for self-adaptation middleware using architectural dependency
A crucial prerequisite to externalized adaptation is an understanding of how components are interconnected, or more particularly how and why they depend on one another. Such dependencies can be used to provide an architectural model, which provides a reference point for externalized adaptation. In this paper, it is described how dependencies are used as a basis to systems' self-understanding and subsequent architectural reconfigurations. The approach is based on the combination of: instrumentation services, a dependency meta-model and a system controller. In particular, the latter uses self-healing repair rules (or conflict resolution strategies), based on extensible beliefs, desires and intention (EBDI) model, to reflect reconfiguration changes back to a target application under examination
Fine Grained Component Engineering of Adaptive Overlays: Experiences and Perspectives
Recent years have seen significant research being carried out into peer-to-peer (P2P) systems. This work has focused on the styles and applications of P2P computing, from grid computation to content distribution; however, little investigation has been performed into how these systems are built. Component based engineering is an approach that has seen successful deployment in the field of middleware development; functionality is encapsulated in âbuilding blocksâ that can be dynamically plugged together to form complete systems. This allows efficient, flexible and adaptable systems to be built with lower overhead and development complexity. This paper presents an investigation into the potential of using component based engineering in the design and construction of peer-to-peer overlays. It is highlighted that the quality of these properties is dictated by the component architecture used to implement the system. Three reusable decomposition architectures are designed and evaluated using Chord and Pastry case studies. These demonstrate that significant improvements can be made over traditional design approaches resulting in much more reusable, (re)configurable and extensible systems
Multi-Layer Cyber-Physical Security and Resilience for Smart Grid
The smart grid is a large-scale complex system that integrates communication
technologies with the physical layer operation of the energy systems. Security
and resilience mechanisms by design are important to provide guarantee
operations for the system. This chapter provides a layered perspective of the
smart grid security and discusses game and decision theory as a tool to model
the interactions among system components and the interaction between attackers
and the system. We discuss game-theoretic applications and challenges in the
design of cross-layer robust and resilient controller, secure network routing
protocol at the data communication and networking layers, and the challenges of
the information security at the management layer of the grid. The chapter will
discuss the future directions of using game-theoretic tools in addressing
multi-layer security issues in the smart grid.Comment: 16 page
Developing Real-Time Emergency Management Applications: Methodology for a Novel Programming Model Approach
The last years have been characterized by the arising of highly distributed computing
platforms composed of a heterogeneity of computing and communication resources including
centralized high-performance computing architectures (e.g. clusters or large shared-memory
machines), as well as multi-/many-core components also integrated into mobile nodes
and network facilities. The emerging of computational paradigms such as Grid and Cloud
Computing, provides potential solutions to integrate such platforms with data systems, natural
phenomena simulations, knowledge discovery and decision support systems responding to a
dynamic demand of remote computing and communication resources and services.
In this context time-critical applications, notably emergency management systems, are
composed of complex sets of application components specialized for executing specific
computations, which are able to cooperate in such a way as to perform a global goal in a
distributed manner. Since the last years the scientific community has been involved in facing
with the programming issues of distributed systems, aimed at the definition of applications
featuring an increasing complexity in the number of distributed components, in the spatial
distribution and cooperation between interested parties and in their degree of heterogeneity.
Over the last decade the research trend in distributed computing has been focused on
a crucial objective. The wide-ranging composition of distributed platforms in terms of
different classes of computing nodes and network technologies, the strong diffusion of
applications that require real-time elaborations and online compute-intensive processing as
in the case of emergency management systems, lead to a pronounced tendency of systems
towards properties like self-managing, self-organization, self-controlling and strictly speaking
adaptivity.
Adaptivity implies the development, deployment, execution and management of applications
that, in general, are dynamic in nature. Dynamicity concerns the number and the specific
identification of cooperating components, the deployment and composition of the most
suitable versions of software components on processing and networking resources and
services, i.e., both the quantity and the quality of the application components to achieve
the needed Quality of Service (QoS). In time-critical applications the QoS specification
can dynamically vary during the execution, according to the user intentions and the
Developing Real-Time Emergency
Management Applications: Methodology for
a Novel Programming Model Approach
Gabriele Mencagli and Marco Vanneschi
Department of Computer Science, University of Pisa, L. Bruno Pontecorvo, Pisa
Italy
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information produced by sensors and services, as well as according to the monitored state
and performance of networks and nodes.
The general reference point for this kind of systems is the Grid paradigm which, by
definition, aims to enable the access, selection and aggregation of a variety of distributed and
heterogeneous resources and services. However, though notable advancements have been
achieved in recent years, current Grid technology is not yet able to supply the needed software
tools with the features of high adaptivity, ubiquity, proactivity, self-organization, scalability
and performance, interoperability, as well as fault tolerance and security, of the emerging
applications.
For this reason in this chapter we will study a methodology for designing high-performance
computations able to exploit the heterogeneity and dynamicity of distributed environments
by expressing adaptivity and QoS-awareness directly at the application level. An effective
approach needs to address issues like QoS predictability of different application configurations
as well as the predictability of reconfiguration costs. Moreover adaptation strategies need to
be developed assuring properties like the stability degree of a reconfiguration decision and the
execution optimality (i.e. select reconfigurations accounting proper trade-offs among different
QoS objectives). In this chapter we will present the basic points of a novel approach that lays
the foundations for future programming model environments for time-critical applications
such as emergency management systems.
The organization of this chapter is the following. In Section 2 we will compare the existing
research works for developing adaptive systems in critical environments, highlighting their
drawbacks and inefficiencies. In Section 3, in order to clarify the application scenarios that
we are considering, we will present an emergency management system in which the run-time
selection of proper application configuration parameters is of great importance for meeting the
desired QoS constraints. In Section 4we will describe the basic points of our approach in terms
of how compute-intensive operations can be programmed, how they can be dynamically
modified and how adaptation strategies can be expressed. In Section 5 our approach will
be contextualize to the definition of an adaptive parallel module, which is a building block
for composing complex and distributed adaptive computations. Finally in Section 6 we will
describe a set of experimental results that show the viability of our approach and in Section 7
we will give the concluding remarks of this chapter
A Conceptual Framework for Adapation
This paper presents a white-box conceptual framework for adaptation that promotes a neat separation of the adaptation logic from the application logic through a clear identification of control data and their role in the adaptation logic. The framework provides an original perspective from which we survey archetypal approaches to (self-)adaptation ranging from programming languages and paradigms, to computational models, to engineering solutions
A Conceptual Framework for Adapation
This paper presents a white-box conceptual framework for adaptation that promotes a neat separation of the adaptation logic from the application logic through a clear identification of control data and their role in the adaptation logic. The framework provides an original perspective from which we survey archetypal approaches to (self-)adaptation ranging from programming languages and paradigms, to computational models, to engineering solutions
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