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In this paper, we study the problem of exploiting parallelism in a hard real-time streaming application modeled as a Synchronous Data Flow (SDF) graph and scheduled on a cluster heterogeneous Multi-Processor System-on-Chip (MPSoC) platform such that energy consumption is minimized and a throughput requirement is satisfied. We propose a polynomial-time solution approach which: 1) determines a processor...
In this paper, we study the problem of finding optimal mappings for several independent but concurrent workflow applications, in order to optimize performance-related criteria together with energy consumption. Each application consists in a linear chain graph with several stages, and processes successive data sets in pipeline mode, from the first to the last stage. We study the problem complexity...
Service-oriented architecture builds software applications from large numbers of loosely coupled distributed services, while workflow technology coordinates these distributed services to achieve a shared task or goal. Scientific workflow is becoming researching hotspot along with the e-science and cyber-infrastructure applications, which run in the grid environment. Therefore, selection and scheduling...
The Concurrent Real-Time Tasks (TTRC), carry out all the activities of a System in Real-Time (STR); the Scheduler of Concurrent Real-Time Tasks (PTTRC) is the responsible of selecting the Real Time Task and the moment that it will take the resources, (PTTRC) is an algorithm that assigns the resources from the processor to different tasks in different moments. However, is necessary to verify effectiveness...
This paper is devoted to scheduling problems with the learning effect, which is understood as a process of acquiring experience that increases the efficiency of a processor. To bring closer the considered phenomenon, a short survey on results concerning scheduling problems with the learning effect is provided. In particular, the existing models of the experience are presented along with a discussion...
Grid technologies enable large-scale sharing of resources within formal or informal consortia of individuals and/or institutions, usually called virtual organizations.In these settings, the discovery, characterization, management, and monitoring of resources, services, and computations can be challenging due to the considerable diversity, large numbers, dynamic behavior, and geographical distribution...
Data-intensive Grid applications require huge data transferring between multiple geographically separated computing nodes where computing tasks are executed. For a future WDM network to efficiently support this type of emerging applications, traditional approaches to establishing lightpaths between given source destination pairs are not sufficient because a computing task may be executed on any one...
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