Ciprian Dobre

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The mobile interaction in Cloud systems became a fancy behavior. Data processing on demand or data transfers requests are usually sporadic tasks. In a public environment like a Cloud, events are processed according to specific conditions. Each event has one ore more tasks that will be scheduled and executed in Cloud. This paper addresses the problem of(More)
This paper discusses the latest generation of the MONARC (MOdels of Networked Analysis at Regional Centers) simulation framework, as a design and modelling tool for large scale distributed systems applied to HEP experiments. A process-oriented approach for discrete event simulation is well-suited for describing concurrent running programs, as well as the(More)
As wireless and 3G networks become more crowded, users with mobile devices have difficulties in accessing the network. Opportunistic networks, created between mobile phones using local peer-topeer connections, have the potential to solve such problems by dispersing some of the traffic to neighboring smartphones. Recently various opportunistic routing or(More)
Opportunistic networks are mobile networks that rely on the store-carry-and-forward paradigm, using contacts between nodes to opportunistically transfer data. For this reason, traditional routing mechanisms are no longer suitable. To increase the probability of successfull message delivery, we propose SPRINT, an opportunistic routing algorithm that(More)
The validation of mobile ad hoc technologies relies almost exclusively on modeling and simulation. In this paper we present a novel mobility model based on social network theory. The mobility model is designed to accurately reflect the realistic mobility of the involved actors in various VANET simulation scenarios. This is much needed as, in order to have a(More)
Complex applications are describing using work-flows. Execution of these workflows in Grid environments require optimized assignment of tasks on available resources according with different constrains. This paper presents a decentralized scheduling algorithm based on genetic algorithms for the problem of DAG scheduling. The genetic algorithm presents a(More)
With Cloud Computing emerging as a promising new approach for ad-hoc parallel data processing, major companies have started to integrate frameworks for parallel data processing in their product portfolio, making it easy for customers to access these services and to deploy their programs. We have entered the Era of Big Data. The explosion and profusion of(More)