7,123 research outputs found
Distributed Enforcement of Service Choreographies
Modern service-oriented systems are often built by reusing, and composing
together, existing services distributed over the Internet. Service choreography
is a possible form of service composition whose goal is to specify the
interactions among participant services from a global perspective. In this
paper, we formalize a method for the distributed and automated enforcement of
service choreographies, and prove its correctness with respect to the
realization of the specified choreography. The formalized method is implemented
as part of a model-based tool chain released to support the development of
choreography-based systems within the EU CHOReOS project. We illustrate our
method at work on a distributed social proximity network scenario.Comment: In Proceedings FOCLASA 2014, arXiv:1502.0315
Multicriteria decision making for enhanced perception-based multimedia communication
This paper proposes an approach that integrates technical concerns with user perceptual considerations for intelligent decision making in the construction of tailor-made multimedia communication protocols. Thus, the proposed approach, based on multicriteria decision making (MDM), incorporates not only classical networking considerations, but, indeed, user preferences as well. Furthermore, in keeping with the task-dependent nature consistently identified in multimedia scenarios, the suggested communication protocols also take into account the type of multimedia application that they are transporting. Lastly, this approach also opens the possibility for such protocols to dynamically adapt based on a changing operating environment and user's preferences
Multicriteria decision making for enhanced perception-based multimedia communication
This paper proposes an approach that integrates
technical concerns with user perceptual considerations for intelligent decision making in the construction of tailor-made multimedia communication protocols. Thus, the proposed approach, based on multicriteria decision making (MDM), incorporates not only classical networking considerations, but, indeed, user preferences
as well. Furthermore, in keeping with the task-dependent nature consistently identified in multimedia scenarios, the suggested communication
protocols also take into account the type of multimedia application that they are transporting. Lastly, this approach also opens the possibility for such protocols to dynamically adapt based on a changing operating environment and user’s preferences
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Intelligent synthesis mechanism for deriving streaming priorities of multimedia content
We address the problem of integrating user preferences with network Quality of Service parameters for the streaming of media content, and suggest protocol stack configurations
that satisfy user and technical requirements to the best available degree. Our approach is able to handle inconsistencies between user and networking considerations, formulating the
problem of construction of tailor-made protocols as a prioritization problem, solvable using fuzzy programming
Incremental Sampling-based Algorithm for Minimum-violation Motion Planning
This paper studies the problem of control strategy synthesis for dynamical
systems with differential constraints to fulfill a given reachability goal
while satisfying a set of safety rules. Particular attention is devoted to
goals that become feasible only if a subset of the safety rules are violated.
The proposed algorithm computes a control law, that minimizes the level of
unsafety while the desired goal is guaranteed to be reached. This problem is
motivated by an autonomous car navigating an urban environment while following
rules of the road such as "always travel in right lane'' and "do not change
lanes frequently''. Ideas behind sampling based motion-planning algorithms,
such as Probabilistic Road Maps (PRMs) and Rapidly-exploring Random Trees
(RRTs), are employed to incrementally construct a finite concretization of the
dynamics as a durational Kripke structure. In conjunction with this, a weighted
finite automaton that captures the safety rules is used in order to find an
optimal trajectory that minimizes the violation of safety rules. We prove that
the proposed algorithm guarantees asymptotic optimality, i.e., almost-sure
convergence to optimal solutions. We present results of simulation experiments
and an implementation on an autonomous urban mobility-on-demand system.Comment: 8 pages, final version submitted to CDC '1
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