The pipeline network plays a crucial role in oil and gas transportation because of its safe
operation and cheap cost. However, the construction and operation of pipeline networks …

A large class of applications need to execute the same workflow on different datasets of
identical size. Efficient execution of such applications necessitates intelligent distribution of …

Scientific workflows are used routinely in numerous scientific domains, and Workflow
Management Systems (WMSs) have been developed to orchestrate and optimize workflow …

Scientific workflows are becoming increasingly important for complex scientific applications.
Conducting real experiments for large-scale workflows is challenging because they are very …

Scientific workflows are used routinely in numerous scientific domains, and Workflow
Management Systems (WMSs) have been developed to orchestrate and optimize workflow …

In this paper, we study the problem of optimizing the throughput of streaming applications for
heterogeneous platforms subject to failures. Applications are linear graphs of tasks …

We consider pipelined real-time systems that consist of a chain of tasks executing on a
distributed platform. The processing of the tasks is pipelined: each processor executes only …

Scheduling, in many application domains, involves optimization of multiple performance
metrics. For example, application workflows with real-time constraints have strict throughput …

Dynamic Loop Scheduling (DLS) algorithms are a powerful approach towards improving the
performance of scientific applications via load balancing. The adaptive DLS (ADLS) …

The exploitation of throughput in a parallel application that processes an input data stream is
a difficult challenge. For typical coarse-grain applications, where the computation time of …