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Power Budgeting of Big Data Applications in Container-based Clusters
(Institute of Electrical and Electronics Engineers, 2020-11-02)
[Abstract]
Energy consumption is currently highly regarded on computing systems for many reasons, such as improving the environmental impact and reducing operational costs considering the rising price of energy. Previous ...
RGen: Data Generator for Benchmarking Big Data Workloads
(MDPI, 2021)
[Abstract] This paper presents RGen, a parallel data generator for benchmarking Big Data workloads, which integrates existing features and new functionalities in a standalone tool. The main functionalities developed in ...
Performance Optimization of a Parallel Error Correction Tool
(MDPI, 2021)
[Abstract] Due to the continuous development in the field of Next Generation Sequencing (NGS) technologies that have allowed researchers to take advantage of greater genetic samples in less time, it is a matter of relevance ...
SMusket: Spark-based DNA error correction on distributed-memory systems
(Elsevier B.V., 2020)
[Abstract]: Next-Generation Sequencing (NGS) technologies have revolutionized genomics research over the last decade, bringing new opportunities for scientists to perform groundbreaking biological studies. Error correction ...
Real-time resource scaling platform for Big Data workloads on serverless environments
(2020)
The serverless execution paradigm is becoming an increasingly popular option when workloads are to be deployed in an abstracted way, more specifically, without specifying any infrastructure requirements. Currently, such ...
Enabling Hardware Affinity in JVM-Based Applications: A Case Study for Big Data
(Springer, 2020)
[Abstract]: Java has been the backbone of Big Data processing for more than a decade due to its interesting features such as object orientation, cross-platform portability and good programming productivity. In fact, most ...
Accelerating the quality control of genetic sequences through stream processing
(Association for Computing Machinery, 2023)
[Abstract]: Quality control of DNA sequences is an important data preprocessing step in many genomic analyses. However, all existing parallel tools for this purpose are based on a batch processing model, needing to have ...