Traditional scheduling research usually targets make span as the only optimization goal,
while several isolated efforts addressed the problem by considering at most two objectives …

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 …

Focusing on algorithms for distributed-memory parallel architectures, Parallel Algorithms
presents a rigorous yet accessible treatment of theoretical models of parallel computation …

Workflow management systems (WfMSs) are commonly used to organize/automate
sequences of tasks as workflows to accelerate scientific discoveries. During complex …

South African Journal of Industrial Engineering Nov 2010 Vol 21(2): 115-130 DEMAND
CATEGORISATION, FORECASTING, AND INVENTORY C Page 1 South African Journal of …

We propose a software pipelining technique adapted to specific hard real-time scheduling
problems. Our technique optimizes both computation throughput and execution cycle …

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

Directed acyclic graphs are commonly used to model scientific workflows, by expressing
dependencies between tasks, as well as the resource requirements of the workflow. As a …

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

Mapping applications onto heterogeneous platforms is a difficult challenge, even for simple
application patterns such as pipeline graphs. The problem is even more complex when …