Ali Jafari

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—Multi-Sensor health monitoring systems are used to predict near future events of our health system. Each sensor generates humongous amount of data per second and needs to be processed in real-time. At the same time health monitoring systems are battery operated, thus they have rigid constraints on power and area of processing platform. Additionally, health(More)
We present a formalized, fully decentralized runtime semantics for a core subset of ABS, a language and framework for modelling distributed object-oriented systems. The semantics incorporates an abstract graph representation of a network infrastructure, with network endpoints represented as graph nodes, and links as arcs with buffers, corresponding to OSI(More)
—There was a lot of interest in multicast communications within this decade as it is an essential part of many network applications, e.g. video-on-demand, etc. In this paper, we model flow rate allocation for application overlay as a utility based optimization problem constrained by capacity limitations of physical links and overlay constraints. The(More)
—The four V's in Big data sets, Volume, Velocity, Variety, and Veracity, provides challenges in many different aspects of real-time systems. Out of these areas securing big data sets, reduction in processing time and communication bandwidth are of utmost importance. In this paper we adopt Compressive Sensing (CS) based framework to address all three issues.(More)
Many real-time distributed applications exhibit probabilistic and non-deterministic behaviors. In this paper, we introduce Probabilistic Timed Rebeca (PTRebeca) as an actor-based language for modeling probabilistic distributed real-time systems with asynchronous message passing. We propose the semantics of PTRebeca model in Timed Markov Decision Process(More)