Sentence examples for and scheduling of data from inspiring English sources

Scientific problems that depend on processing large amounts of data require overcoming challenges in multiple areas: managing large-scale data distribution, controlling co-placement and scheduling of data with compute resources, and storing, transferring, and managing large volumes of data.

We propose the concept of Pilot-Data to address the fundamental challenges of co-placement and scheduling of data and compute in heterogeneous and distributed environments with interoperability and extensibility as first-order concerns.

DIF is designed as an extensible repository of representation, analysis, transformation, and scheduling of data flow language.

In this study, we consider the two constituent sub-problems of Grid scheduling, namely: (i) the scheduling of computation tasks to processing resources and (ii) the routing and scheduling of the data movement in a Grid network.

Her research focuses on scalability, multi-resource packing and scheduling of efficient data-centric systems.

The key problem of finding a maximum-throughput allocation and scheduling of Synchronous Data-Flow graphs (SDFGs) onto a multi-core architecture is NP-hard and has been traditionally solved by means of heuristic (incomplete) algorithms with no guarantee of global optimality.

However, it needs the preemptive knowledge of vehicular trajectories and perfect scheduling of data transmissions, which is impractical in highly dynamical VANET since DNTG will become very complicated.

However, the complete simulation workflow needed to derive simulation result including additional phases, such as the dispatching and scheduling of simulations, result gathering, trajectory data assembling, and analysis phases, which exhibit data dependencies (thus requires communications and/or synchronisations).

Formulation and toolset description for the problem of scheduling of data exchange over bus with centralized control is presented.

One is the scheduling of data, including aggregation and extraction of large scale sensing data [5 8] and time-continuous data generation [9].

While active networks provide new solutions for the deployment of dynamic services in the network, exposing network processing resources, logistical networking focuses on exposing storage resources inside networks, optimizing the global scheduling of data transport, data storage and computation.