ElCore: Dynamic elastic resource management and discovery for future large-scale manycore enabled distributed systems-Reference-Cited by-同舟云学术

ElCore: Dynamic elastic resource management and discovery for future large-scale manycore enabled distributed systems

Published:2016-10 Issue: Volume:46 Page:221-239
ISSN:0141-9331
Container-title:Microprocessors and Microsystems
language:en
Short-container-title:Microprocessors and Microsystems

Author:

Zarrin Javad^ORCID,Aguiar Rui L.,Paulo Barraca João

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Software

Reference99 articles.

1. The international technology roadmap for semiconductors–perspectives and challenges for the next 15 years;Arden;Current Opin. Solid State Mater. Sci.,2002

2. Comprehensive elastic resource management to ensure predictable performance for scientific applications on public iaas clouds;Kim,2014

3. Malleable applications for scalable high performance computing;Desell;Cluster Comput.,2007

4. Principles of service oriented operating systems;Schubert,2009

5. The S[o]OS Consortium, S(o)OS (Service-oriented Operating System): resource-independent execution support on exa-scale systems, 2010–2013. Available at http://www.soos-project.eu/, http://www.soos-project.eu/index.php/publications [Online: accessed 5-September-2014].

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimized mobile cloud resource discovery architecture based on dynamic cognitive and intelligent technique;Microprocessors and Microsystems;2021-03

2. Semantic-based discovery method for high-performance computing resources in cyber-physical systems;Microprocessors and Microsystems;2021-02

3. ExaRD: introducing a framework for empowerment of resource discovery to support distributed exascale computing systems with high consistency;Cluster Computing;2020-03-23

4. Resource discovery for distributed computing systems: A comprehensive survey;Journal of Parallel and Distributed Computing;2018-03

5. HARD: Hybrid Adaptive Resource Discovery for Jungle Computing;Journal of Network and Computer Applications;2017-07