A generic API for load balancing in distributed systems for big data management

2015 ◽  
Vol 28 (8) ◽  
pp. 2440-2456 ◽  
Author(s):  
Maeva Antoine ◽  
Laurent Pellegrino ◽  
Fabrice Huet ◽  
Françoise Baude
Keyword(s):  
Big Data ◽  
Distributed Systems ◽  
Load Balancing ◽  
Data Management

Load Balancing in Big Data Processing Systems

2019 ◽  
Vol 12 (1) ◽  
pp. 42 ◽  
Author(s):  
Andrey I. Vlasov ◽  
Konstantin A. Muraviev ◽  
Alexandra A. Prudius ◽  
Demid A. Uzenkov
Keyword(s):  
Big Data ◽  
Load Balancing ◽  
Data Processing ◽  
Big Data Processing

Improving load balancing for data-duplication in big data cloud computing networks

2021 ◽  
Author(s):  
Amir Javadpour ◽  
Ali Majed Hossein Abadi ◽  
Samira Rezaei ◽  
Mozhdeh Zomorodian ◽  
Ali Shokouhi Rostami
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Load Balancing

scholarly journals DaLiF: a data lifecycle framework for data-driven governments

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Syed Iftikhar Hussain Shah ◽  
Vassilios Peristeras ◽  
Ioannis Magnisalis
Keyword(s):  
Big Data ◽  
Data Management ◽  
Good Governance ◽  
Business Community ◽  
Data Driven ◽  
Governmental Organizations ◽  
Data Lifecycle ◽  
The Government ◽  
Data Ecosystem ◽  
Governance Transparency

AbstractThe public sector, private firms, business community, and civil society are generating data that is high in volume, veracity, velocity and comes from a diversity of sources. This kind of data is known as big data. Public Administrations (PAs) pursue big data as “new oil” and implement data-centric policies to transform data into knowledge, to promote good governance, transparency, innovative digital services, and citizens’ engagement in public policy. From the above, the Government Big Data Ecosystem (GBDE) emerges. Managing big data throughout its lifecycle becomes a challenging task for governmental organizations. Despite the vast interest in this ecosystem, appropriate big data management is still a challenge. This study intends to fill the above-mentioned gap by proposing a data lifecycle framework for data-driven governments. Through a Systematic Literature Review, we identified and analysed 76 data lifecycles models to propose a data lifecycle framework for data-driven governments (DaliF). In this way, we contribute to the ongoing discussion around big data management, which attracts researchers’ and practitioners’ interest.

FDM: Fuzzy-Optimized Data Management Technique for Improving Big Data Analytics

2021 ◽  
Vol 29 (1) ◽  
pp. 177-185
Author(s):  
Gunasekaran Manogaran ◽  
P. Mohamed Shakeel ◽  
S. Baskar ◽  
Ching-Hsien Hsu ◽  
Seifedine Nimer Kadry ◽  
...  
Keyword(s):  
Big Data ◽  
Data Management ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Management Technique

FADI - A Deployment Framework for Big Data Management and Analytics

2020 ◽  
Author(s):  
Rami Sellami ◽  
Faiez Zalila ◽  
Alexandre Nuttinck ◽  
Sebastien Dupont ◽  
Jean-Christophe Deprez ◽  
...  
Keyword(s):  
Big Data ◽  
Data Management
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