EVOLVE: Towards Converging Big-Data, High-Performance and Cloud-Computing Worlds

被引：0

作者：

Tzenetopoulos, Achilleas ^{[1
]}

Masouros, Dimosthenis ^{[1
]}

Koliogeorgi, Konstantina ^{[1
]}

Xydis, Sotirios ^{[1
,2
]}

Soudris, Dimitrios ^{[1
]}

Chazapis, Antony ^{[3
]}

Kozanitis, Christos ^{[3
]}

Bilas, Angelos ^{[3
]}

Pinto, Christian ^{[4
]}

Huy-Nam Nguyen ^{[5
]}

Louloudakis, Stelios ^{[6
]}

Gardikis, Georgios ^{[7
]}

Vamvakas, George ^{[7
]}

Aubrun, Michelle ^{[8
]}

Symeonidou, Christy ^{[9
]}

Spitadakis, Vassilis ^{[9
]}

Xylogiannopoulos, Konstantinos ^{[10
]}

Peischl, Bernhard ^{[10
]}

Kalayci, Tahir Emre ^{[11
]}

Stocker, Alexander ^{[11
]}

Acquaviva, Jean-Thomas ^{[12
]}

机构：

[1] Inst Commun & Comp Syst ICCS, Athens, Greece

[2] Harokopio Univ Athens HUA, Dept Informat & Telemat DIT, Athens, Greece

[3] FORTH, Inst Comp Sci, Iraklion, Greece

[4] IBM Res Europe, Dublin, Ireland

[5] ATOS Bull, Paris, France

[6] Sunlight Io, Iraklion, Greece

[7] Space Hellas SA, Athens, Greece

[8] Thales Alenia Space, Toulouse, France

[9] NEUROCOM Luxembourg, Luxembourg, Luxembourg

[10] AVL List GmbH, Graz, Austria

[11] Virtual Vehicle Res GmbH, Graz, Austria

[12] DataDirect Networks, Paris, France

来源：

PROCEEDINGS OF THE 2022 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE 2022) | 2022年

基金：

欧盟地平线“2020”;

关键词：

HPC; Cloud-computing; Big-Data; computing platform; accelerators; interference; resource orchestration;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

EVOLVE is a pan European Innovation Action that aims to fully-integrate High-Performance-Computing (HPC) hardware with state-of-the-art software technologies under a unique testbed, that enables the convergence of HPC, Cloud and Big-Data worlds and increases our ability to extract value from massive and demanding datasets. EVOLVE's advanced compute platform combines HPC-enabled capabilities, with transparent deployment in high abstraction level, and a versatile Big-Data processing stack for end-to-end workflows. Hence, domain experts have the potential to improve substantially the efficiency of existing services or introduce new models in the respective domains, e.g., automotive services, bus transportation, maritime surveillance and others. In this paper, we describe EVOLVE's testbed, and evaluate the performance of the integrated pilots from different domains.

引用

页码：975 / 980

页数：6

共 50 条

[31] Is High Performance Computing (HPC) Ready to Handle Big Data?
Ray, Biplob R.
Chowdhury, Morshed
Atif, Usman
FUTURE NETWORK SYSTEMS AND SECURITY, FNSS 2017, 2017, 759 : 97 - 112
[32] State of the Art High-Performance and High-Throughput Computing for Remote Sensing Big Data
Zhang, Sheng
Xue, Yong
Zhou, Xiran
Zhang, Xiaopeng
Liu, Wenhao
Li, Kaiyuan
Liu, Runze
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE, 2022, 10 (04) : 125 - 149
[33] High-Performance Cloud Computing: A View of Scientific Applications
Vecchiola, Christian
Pandey, Suraj
Buyya, Rajkumar
2009 10TH INTERNATIONAL SYMPOSIUM ON PERVASIVE SYSTEMS, ALGORITHMS, AND NETWORKS (ISPAN 2009), 2009, : 4 - 16
[34] Evaluation of messaging middleware for high-performance cloud computing
Roberto R. Expósito
Guillermo L. Taboada
Sabela Ramos
Juan Touriño
Ramón Doallo
Personal and Ubiquitous Computing, 2013, 17 : 1709 - 1719
[35] Evaluation of messaging middleware for high-performance cloud computing
Exposito, Roberto R.
Taboada, Guillermo L.
Ramos, Sabela
Tourino, Juan
Doallo, Ramon
PERSONAL AND UBIQUITOUS COMPUTING, 2013, 17 (08) : 1709 - 1719
[36] Machine learning regression to boost scheduling performance in hyper-scale cloud-computing data centres
Fernandez-Cerero, Damian
Troyano, Jose A.
Jakobik, Agnieszka
Fernandez-Montes, Alejandro
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES, 2022, 34 (06) : 3191 - 3203
[37] Measuring and querying process performance in supply chains: An approach for mining big-data cloud storages
Vera-Baquero, Alejandro
Colomo-Palacios, Ricardo
Molloy, Owen
CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS/INTERNATIONAL CONFERENCE ON PROJECT MANAGEMENT/CONFERENCE ON HEALTH AND SOCIAL CARE INFORMATION SYSTEMS AND TECHNOLOGIES, CENTERIS/PROJMAN / HCIST 2015, 2015, 64 : 1026 - 1034
[38] Secured and High Performance Distributed Big Data Storage in Cloud Systems
Hossain, Md Delwar
Adnan, Muhammad Abdullah
PROCEEDINGS OF 2018 3RD INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATION SYSTEMS (ICCCS), 2018, : 72 - 79
[39] A Survey of Big Data, High Performance Computing, and Machine Learning Benchmarks
Ihde, Nina
Marten, Paula
Eleliemy, Ahmed
Poerwawinata, Gabrielle
Silva, Pedro
Tolovski, Ilin
Ciorba, Florina M.
Rabl, Tilmann
PERFORMANCE EVALUATION AND BENCHMARKING, TPCTC 2021, 2022, 13169 : 98 - 118
[40] Balancing the load and scheduling the tasks using zebra optimizer in IoT based cloud computing for big-data applications
Vijayaraj, V.
Balamurugan, M.
Oberoi, Monisha
REVISTA INTERNACIONAL DE METODOS NUMERICOS PARA CALCULO Y DISENO EN INGENIERIA, 2024, 40 (02):

← 1 2 3 4 5 →