15 research outputs found
A Collaborative Approach to Computational Reproducibility
Although a standard in natural science, reproducibility has been only
episodically applied in experimental computer science. Scientific papers often
present a large number of tables, plots and pictures that summarize the
obtained results, but then loosely describe the steps taken to derive them. Not
only can the methods and the implementation be complex, but also their
configuration may require setting many parameters and/or depend on particular
system configurations. While many researchers recognize the importance of
reproducibility, the challenge of making it happen often outweigh the benefits.
Fortunately, a plethora of reproducibility solutions have been recently
designed and implemented by the community. In particular, packaging tools
(e.g., ReproZip) and virtualization tools (e.g., Docker) are promising
solutions towards facilitating reproducibility for both authors and reviewers.
To address the incentive problem, we have implemented a new publication model
for the Reproducibility Section of Information Systems Journal. In this
section, authors submit a reproducibility paper that explains in detail the
computational assets from a previous published manuscript in Information
Systems
Reproducible experiments on dynamic resource allocation in cloud data centers
In Wolke et al. we compare the efficiency of different resource allocation strategies experimentally. We focused on dynamic environments where virtual machines need to be allocated and deallocated to servers over time. In this companion paper, we describe the simulation framework and how to run simulations to replicate experiments or run new experiments within the framework.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV
Reproducible experiments on dynamic resource allocation in cloud data centers
In Wolke et al. we compare the efficiency of different resource allocation strategies experimentally. We focused on dynamic environments where virtual machines need to be allocated and deallocated to servers over time. In this companion paper, we describe the simulation framework and how to run simulations to replicate experiments or run new experiments within the framework.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV
Reproducible experiments on dynamic resource allocation in cloud data centers
In Wolke et al. we compare the efficiency of different resource allocation strategies experimentally. We focused on dynamic environments where virtual machines need to be allocated and deallocated to servers over time. In this companion paper, we describe the simulation framework and how to run simulations to replicate experiments or run new experiments within the framework.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV
Reproducible experiments on dynamic resource allocation in cloud data centers
In Wolke et al. we compare the efficiency of different resource allocation strategies experimentally. We focused on dynamic environments where virtual machines need to be allocated and deallocated to servers over time. In this companion paper, we describe the simulation framework and how to run simulations to replicate experiments or run new experiments within the framework.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV
Reproducible experiments on dynamic resource allocation in cloud data centers
In Wolke et al. we compare the efficiency of different resource allocation strategies experimentally. We focused on dynamic environments where virtual machines need to be allocated and deallocated to servers over time. In this companion paper, we describe the simulation framework and how to run simulations to replicate experiments or run new experiments within the framework.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV
Reproducible experiments on dynamic resource allocation in cloud data centers
In Wolke et al. we compare the efficiency of different resource allocation strategies experimentally. We focused on dynamic environments where virtual machines need to be allocated and deallocated to servers over time. In this companion paper, we describe the simulation framework and how to run simulations to replicate experiments or run new experiments within the framework.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV
Reproducible experiments on dynamic resource allocation in cloud data centers
In Wolke et al. we compare the efficiency of different resource allocation strategies experimentally. We focused on dynamic environments where virtual machines need to be allocated and deallocated to servers over time. In this companion paper, we describe the simulation framework and how to run simulations to replicate experiments or run new experiments within the framework
Reproducible experiments on dynamic resource allocation in cloud data centers
In Wolke et al. we compare the efficiency of different resource allocation strategies experimentally. We focused on dynamic environments where virtual machines need to be allocated and deallocated to servers over time. In this companion paper, we describe the simulation framework and how to run simulations to replicate experiments or run new experiments within the framework