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SpeCH: A scalable framework for data placement of data-intensive services in geo-distributed clouds

  • Published:2019-09 Issue: Volume:142 Page:1-14
  • ISSN:1084-8045
  • Container-title:Journal of Network and Computer Applications
  • language:en
  • Short-container-title:Journal of Network and Computer Applications

Author:

Atrey Ankita,Van Seghbroeck Gregory,Mora Higinio,De Turck Filip,Volckaert Bruno

Funder

VLAIO

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture

Reference44 articles.

1. Volley: automated data placement for geo-distributed cloud services;Agarwal,2010

2. AWS Global Infrastructure;Amazon,2017

3. k-means: the advantages of careful seeding;Arthur,2007

4. Scalable data placement of data-intensive services in geo-distributed clouds;Atrey,2018

5. PaToH (Partitioning Tool for Hypergraphs);Catalyurek,2011

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1. Cost minimization approach with hybrid optimization based task scheduling in Geo-distributed cloud;Australian Journal of Electrical and Electronics Engineering;2024-06-27

2. A Study on Cloud Storage Architecture and Related Technical Issues;2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT);2024-02-09

3. Adaptive Data Placement in Multi-Cloud Storage: A Non-Stationary Combinatorial Bandit Approach;IEEE Transactions on Parallel and Distributed Systems;2023-11

4. DEMOTS: A Decentralized Task Scheduling Algorithm for Micro-Clouds with Dynamic Power-Budgets;2023 IEEE 16th International Conference on Cloud Computing (CLOUD);2023-07

5. Gradient Kernelized Cat Boost Pre-Emptive Traffic Aware Data Distribution in Cloud Computing;2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS);2023-02-24
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