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Alfredo Goldman
Researcher at University of São Paulo
Publications - 163
Citations - 1895
Alfredo Goldman is an academic researcher from University of São Paulo. The author has contributed to research in topics: Agile software development & Heuristics. The author has an hindex of 20, co-authored 155 publications receiving 1663 citations. Previous affiliations of Alfredo Goldman include Hewlett-Packard & University of California.
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A comprehensive view of Hadoop research—A systematic literature review
TL;DR: It is demonstrated that Hadoop has evolved into a solid platform to process large datasets, but the systematic review was able to spot promising areas and suggest topics for future research within the framework.
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InteGrade: object-oriented Grid middleware leveraging the idle computing power of desktop machines
TL;DR: InteGrade is introduced, a novel object‐oriented middleware Grid infrastructure that focuses on leveraging the idle computing power of shared desktop machines that includes support for a wide range of parallel applications and mechanisms to assure that the owners of shared resources do not perceive any loss in the quality of service.
InteGrade: Object-Oriented Grid Middleware Leveraging Idle Computing Power of Desktop Machines.
TL;DR: InteGrade as discussed by the authors is an object-oriented middleware Grid infrastructure that focuses on leveraging the idle computing power of shared desktop machines for a wide range of parallel applications and mechanisms to assure that the owners of shared resources do not perceive any loss in the quality of service.
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Fostering effective inter-team knowledge sharing in agile software development
TL;DR: A conceptual model is explained how effective knowledge sharing across agile teams depends on applying purposeful practices, along with organizational conditions and stimuli, which represents an innovative focus within the context of agile methods.
Journal ArticleDOI
Scheduling in distributed systems: A cloud computing perspective
Luiz F. Bittencourt,Alfredo Goldman,Edmundo R. M. Madeira,Nelson L. S. da Fonseca,Rizos Sakellariou +4 more
TL;DR: This paper introduces a classification of the scheduling problem in distributed systems by presenting a taxonomy that incorporates recent developments, especially those in cloud computing, and identifies relevant future directions in scheduling for distributed systems.