Studies in Big Data - Modeling and Simulation in HPC and Cloud Systems
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Published By Springer International Publishing

9783319737669, 9783319737676

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

MobEmu: A Framework to Support Decentralized Ad-Hoc Networking

Studies in Big Data - Modeling and Simulation in HPC and Cloud Systems ◽

10.1007/978-3-319-73767-6_6 ◽

2018 ◽

pp. 87-119 ◽

Cited By ~ 2

Author(s):

Radu-Ioan Ciobanu ◽

Radu-Corneliu Marin ◽

Ciprian Dobre

Keyword(s):

Ad Hoc ◽

Ad Hoc Networking

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Virtualization Model for Processing of the Sensitive Mobile Data

Studies in Big Data - Modeling and Simulation in HPC and Cloud Systems ◽

10.1007/978-3-319-73767-6_7 ◽

2018 ◽

pp. 121-133

Author(s):

Andrzej Wilczyński ◽

Joanna Kołodziej

Keyword(s):

Mobile Data

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Evaluating Distributed Systems and Applications Through Accurate Models and Simulations

Studies in Big Data - Modeling and Simulation in HPC and Cloud Systems ◽

10.1007/978-3-319-73767-6_1 ◽

2018 ◽

pp. 1-18

Author(s):

Marc Frincu ◽

Bogdan Irimie ◽

Teodora Selea ◽

Adrian Spataru ◽

Anca Vulpe

Keyword(s):

Distributed Systems

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Analysis of Selected Cryptographic Services for Processing Batch Tasks in Cloud Computing Systems

Studies in Big Data - Modeling and Simulation in HPC and Cloud Systems ◽

10.1007/978-3-319-73767-6_8 ◽

2018 ◽

pp. 135-155

Author(s):

Agnieszka Jakóbik ◽

Jacek Tchórzewski

Keyword(s):

Cloud Computing ◽

Computing Systems

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Science Gateways in HPC: Usability Meets Efficiency and Effectiveness

Studies in Big Data - Modeling and Simulation in HPC and Cloud Systems ◽

10.1007/978-3-319-73767-6_5 ◽

2018 ◽

pp. 73-86

Author(s):

Sandra Gesing

Keyword(s):

Science Gateways ◽

Efficiency And Effectiveness

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Design Patterns and Algorithmic Skeletons: A Brief Concordance

Studies in Big Data - Modeling and Simulation in HPC and Cloud Systems ◽

10.1007/978-3-319-73767-6_3 ◽

2018 ◽

pp. 45-56

Author(s):

Adriana E. Chis ◽

Horacio González–Vélez

Keyword(s):

Design Patterns ◽

Algorithmic Skeletons

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Scheduling Data-Intensive Workloads in Large-Scale Distributed Systems: Trends and Challenges

Studies in Big Data - Modeling and Simulation in HPC and Cloud Systems ◽

10.1007/978-3-319-73767-6_2 ◽

2018 ◽

pp. 19-43 ◽

Cited By ~ 7

Author(s):

Georgios L. Stavrinides ◽

Helen D. Karatza

Keyword(s):

Distributed Systems ◽

Large Scale ◽

Data Intensive

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Evaluation of Cloud Systems

Studies in Big Data - Modeling and Simulation in HPC and Cloud Systems ◽

10.1007/978-3-319-73767-6_4 ◽

2018 ◽

pp. 57-72 ◽

Cited By ~ 2

Author(s):

Mihaela-Andreea Vasile ◽

George-Valentin Iordache ◽

Alexandru Tudorica ◽

Florin Pop

Keyword(s):

Cloud Systems

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Studies in Big Data - Modeling and Simulation in HPC and Cloud SystemsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

MobEmu: A Framework to Support Decentralized Ad-Hoc Networking

Virtualization Model for Processing of the Sensitive Mobile Data

Evaluating Distributed Systems and Applications Through Accurate Models and Simulations

Analysis of Selected Cryptographic Services for Processing Batch Tasks in Cloud Computing Systems

Science Gateways in HPC: Usability Meets Efficiency and Effectiveness

Design Patterns and Algorithmic Skeletons: A Brief Concordance

Scheduling Data-Intensive Workloads in Large-Scale Distributed Systems: Trends and Challenges

Evaluation of Cloud Systems

Studies in Big Data - Modeling and Simulation in HPC and Cloud Systems
Latest Publications