A survey on wireless sensor networks for smart grid
The traditional power grid in many countries suffers from high maintenance costs and
scalability issues along with the huge expense of building new power stations, and lack of …
scalability issues along with the huge expense of building new power stations, and lack of …
Multi-objective workflow scheduling in Amazon EC2
JJ Durillo, R Prodan - Cluster computing, 2014 - Springer
Nowadays, scientists and companies are confronted with multiple competing goals such as
makespan in high-performance computing and economic cost in Clouds that have to be …
makespan in high-performance computing and economic cost in Clouds that have to be …
A multi-objective approach for workflow scheduling in heterogeneous environments
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 …
while several isolated efforts addressed the problem by considering at most two objectives …
Multi-objective game theoretic schedulingof bag-of-tasks workflows on hybrid clouds
Scheduling multiple large-scale parallel workflow applications on heterogeneous computing
systems like hybrid clouds is a fundamental NP-complete problem that is critical to meeting …
systems like hybrid clouds is a fundamental NP-complete problem that is critical to meeting …
MOHEFT: A multi-objective list-based method for workflow scheduling
Nowadays, scientists and companies are confronted with multiple competing goals such as
makespan in high-performance computing and economic cost in Clouds that have to be …
makespan in high-performance computing and economic cost in Clouds that have to be …
Multi-objective energy-efficient workflow scheduling using list-based heuristics
JJ Durillo, V Nae, R Prodan - Future Generation Computer Systems, 2014 - Elsevier
Workflow applications are a popular paradigm used by scientists for modelling applications
to be run on heterogeneous high-performance parallel and distributed computing systems …
to be run on heterogeneous high-performance parallel and distributed computing systems …
A novel fault-tolerant scheduling algorithm for precedence constrained tasks in real-time heterogeneous systems
Fault-tolerance is an essential requirement for real-time systems, due to potentially
catastrophic consequences of faults. In this paper, we investigate an efficient off-line …
catastrophic consequences of faults. In this paper, we investigate an efficient off-line …
A provenance-based adaptive scheduling heuristic for parallel scientific workflows in clouds
In the last years, scientific workflows have emerged as a fundamental abstraction for
structuring and executing scientific experiments in computational environments. Scientific …
structuring and executing scientific experiments in computational environments. Scientific …
Reliability and temperature constrained task scheduling for makespan minimization on heterogeneous multi-core platforms
We study the problem of scheduling tasks onto a heterogeneous multi-core processor
platform for makespan minimization, where each cluster on the platform has a probability of …
platform for makespan minimization, where each cluster on the platform has a probability of …
Evaluation and optimization of the robustness of dag schedules in heterogeneous environments
A schedule is said to be robust if it is able to absorb some degree of uncertainty in task or
communication durations while maintaining a stable solution. This intuitive notion of …
communication durations while maintaining a stable solution. This intuitive notion of …