Contains fulltext : 168716.pdf (publisher's version ) (Open Access)PEPM 2017: 2017 ACM SIGPLAN Workshop on Partial Evaluation and Program Manipulation, January 16-17, 2017, Paris, Franc
Abstract. System provisioning, resource allocation, and system con-figuration decisions for workflow...
Context: Productivity management of software developers is a challenge in Information and Communicat...
Performance prediction is set to play a significant role in supportive middleware that is designed t...
Source code accompanying the paper Markus Klinik, Jurriaan Hage, Jan Martin Jansen, and Rinus Plasm...
Estimates of task runtime, disk space usage, and memory consumption, are commonly used by scheduling...
This paper presents the Maximum Effective Reduction (MER) algorithm, which optimizes the resource ef...
AbstractThis paper presents the Maximum Effective Reduction (MER) algorithm, which optimizes the res...
We present a type and effect system for static analysis of programs written in a simplified version ...
With the increasing amount of data available to scientists in disciplines as diverse as bioinformat...
This work presents a scale-space based approach to assist dynamic resource provisioning. The applica...
the use of machine learning to predict the time and resources consumed by application
In this paper we propose a novel method for auto-scaling data-centric workflow tasks. Scaling is ach...
As workflow-based data-intensive applications have become increasingly popular, the lack of support ...
Scientific workflows typically comprise a multitude of different processing steps which often are ex...
Task-based programming models are emerging as a promising alternative to make the most of multi-/man...
Abstract. System provisioning, resource allocation, and system con-figuration decisions for workflow...
Context: Productivity management of software developers is a challenge in Information and Communicat...
Performance prediction is set to play a significant role in supportive middleware that is designed t...
Source code accompanying the paper Markus Klinik, Jurriaan Hage, Jan Martin Jansen, and Rinus Plasm...
Estimates of task runtime, disk space usage, and memory consumption, are commonly used by scheduling...
This paper presents the Maximum Effective Reduction (MER) algorithm, which optimizes the resource ef...
AbstractThis paper presents the Maximum Effective Reduction (MER) algorithm, which optimizes the res...
We present a type and effect system for static analysis of programs written in a simplified version ...
With the increasing amount of data available to scientists in disciplines as diverse as bioinformat...
This work presents a scale-space based approach to assist dynamic resource provisioning. The applica...
the use of machine learning to predict the time and resources consumed by application
In this paper we propose a novel method for auto-scaling data-centric workflow tasks. Scaling is ach...
As workflow-based data-intensive applications have become increasingly popular, the lack of support ...
Scientific workflows typically comprise a multitude of different processing steps which often are ex...
Task-based programming models are emerging as a promising alternative to make the most of multi-/man...
Abstract. System provisioning, resource allocation, and system con-figuration decisions for workflow...
Context: Productivity management of software developers is a challenge in Information and Communicat...
Performance prediction is set to play a significant role in supportive middleware that is designed t...
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