nach oben

The Journal of Supercomputing

Erschienen in:

17.11.2018

Payload fragmentation framework for high-performance computing in cloud environment

verfasst von: V. Vivek, R. Srinivasan, R. Elijah Blessing, R. Dhanasekaran

Erschienen in: The Journal of Supercomputing | Ausgabe 5/2019

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Cloud computing environment delivers resources such as CPU cycles, storage, network service and memory through a web-based model. Users run their applications on remote infrastructure and get benefited more at a lesser cost. Compiling large-scale applications such as compiling GCC and compiling Clang in C and C++ environments where applications involve encryption breaking tools require extensive analysis. Lack of CPU cycles in consumer-grade computing will be detrimental to such applications. Fragmenting and distributing payloads across multiple clusters for such applications in a cloud-like environment is a challenging task. We have proposed a novel approach to perform payload distribution for users who want to run their computationally expensive tasks efficiently. The proposed framework has performed well compared to the ‘traditional’ payload execution policy.

Vorheriger Artikel A trust enhancement scheme for cluster-based wireless sensor networks

Nächster Artikel Replica-aware task scheduling and load balanced cache placement for delay reduction in multi-cloud environment

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Mell P, Grance T (2011) The NIST definition of cloud computing (Draft)recommendations of the National Institute of Standards and Technology. NIST Special, 145(6),7. National Institute of Standards and Technology, Information Technology Laboratory. http://csrc.nist.gov/publications/drafts/800145/Draft-SP00145-clouddefinition.pdf

Garg SK, Vecchiola C, Buyya R (2013) Mandi: a market exchange for trading utility and cloud computing services. J Supercomput 64(3):1153–1174CrossRef

Sadiku MNO, Musa SM, Momoh OD (2014) Cloud computing: opportunities and challenges. IEEE Potentials 33(1):34–36. https://doi.org/10.1109/mpot.2013.2279684 CrossRef

Sunilkumar SM, Gopal KS (2014) Resource management for Infrastructure as a Service (IaaS) in cloud computing: a survey review article. J Netw Comput Appl 41:424–440CrossRef

Di Modica G, Tomarchio O (2016) Matchmaking semantic security policies in heterogeneous clouds. Future Gener Comput Syst 55:176–185CrossRef

Magoules F, Pan J, Teng F (2013) Cloud computing: data-intensive computing and scheduling. Chapman and Hall/CRC Numerical Analysis and Scientific Computing, London

Chaisiri S, Lee B-S, Niyato D (2012) Optimization of resource provisioning cost in cloud computing. IEEE Trans Serv Comput 5(2):164–177. https://doi.org/10.1109/tsc.2011.7 CrossRef

Amazon EC2 Reserved Instances. http://www.forbes.com/sites/joemckendrick/2016/11/13/with-internet-of-things-and-big-data-92-of-everything-we-do-will-be-in-the-cloud/hash639f6196593f

Chlipala A (2015) An optimizing compiler for a purely functional web-application language. In: Proceedings of the 20th ACM SIGPLAN International Conference On Functional Programming (ICFP 2015). ACM, New York, NY, USA, pp 10–21

10.

Chebolu NABS, Wankar R (2015) A novel scheme for compiler optimization framework. In: 2015 International Conference on Advances in Computing, Communications, and Informatics (ICACCI), Kochi, 2015, pp 2374–2380

11.

Buyya R, Cortes T, Jin H (2001) Single system image. Int J High Perform Comput Appl 15(2):124–135CrossRef

12.

Hendriks E (2002) BProc: the Beowulf distributed process space. In: ACM Proceedings of ICS, 2002

13.

Wang K, Zhou X, Qiao K, Lang M, McClelland B, Raicu I (2015) Towards scalable distributed workload manager with monitoring-based weakly consistent resource stealing. In: Proceedings of the 24th international symposium on high-performance parallel and distributed computing (HPDC’15). ACM, New York, NY, USA, pp 219–222

14.

Single system image (SSI). http://www.cloudbus.org/papers/SSI-CCWhitePaper.pdf. Accessed 10 June 2014

15.

OpenMosix used to be distributed as a Gentoo Linux kernel choice, but it was removed from Gentoo Linux's Portage tree in February. http://www.openmosix.org/. Accessed 21 June 2014

16.

de Robles MYB, Arnejo ZO, Pabico JP (2015) On web-grid implementation using single system image. Computer science—distributed, parallel, and cluster computing. arXiv:1507.01067

17.

The openMosix Project. http://openmosix.sourceforge.net/. Accessed 28 Sept 2014

18.

Vallee G, Scott SL, Morin C, Berthou JY, Prisker H (2005) SSI-OSCAR: a cluster distribution for high-performance computing using a single system image. In: 19th International symposium on high-performance computing systems and applications (HPCS’05), 2005, pp 319–325

19.

Healy P, Lynn T, Barrett E, Morrison JP (2016) Single system image. J. Parallel Distrib Comput 90(2):35–51. https://doi.org/10.1016/j.jpdc.2016.01.004 CrossRef

20.

Vivek V, Srinivasan R, Rajsingh EB (2013) Resource provisioning methodologies: an approach of producer and consumer favorable in cloud environment. Int J Emerg Technol Adv Eng 3(4):8–13

21.

Li J, Qiu M, Niu J-W, Chen Y, Ming Z (2010) Adaptive resource allocation for preemptable jobs in cloud systems. In: IEEE 2010 10th International Conference on Intelligent Systems Design and Applications (ISDA), Nov 29 2010–Dec 1 2010, pp 31–36

22.

Baker TP (1990) A stack-based resource allocation policy for real-time processes. In: Real-time systems symposium, 1990. IEEE Proceedings, 11th, 5–7 Dec 1990, pp 191–200

23.

Kim T-H, Adeli H, Cho H-S, Gervasi O, Yau SS, Kang B-H, Villalba JG (2011) A dynamic resource allocation model for virtual machine management on cloud. Springer, Berlin

24.

Clark C, Fraser K, Hand S, Hansen JG, Jul E, Limpach C, Pratt I, Warfield A (2005) Live migration of virtual machines. In: Proceedings of the 2nd Conference On Symposium on Networked Systems Design and Implementation (NSDI’05), vol 2. USENIX Association, Berkeley, CA, USA, pp 273–286

25.

Voorsluys W, Broberg J, Venugopal S, Buyya R (2009) Cost of virtual machine live migration in clouds: a performance evaluation. In: Gilje Jaatun M, Zhao G, Rong C (eds) Proceedings of the 1st International Conference on Cloud Computing (CloudCom’09). Springer, Berlin, pp 254–265

Titel: Payload fragmentation framework for high-performance computing in cloud environment
verfasst von: V. Vivek
R. Srinivasan
R. Elijah Blessing
R. Dhanasekaran
Publikationsdatum: 17.11.2018
Verlag: Springer US
Erschienen in: The Journal of Supercomputing / Ausgabe 5/2019
Print ISSN: 0920-8542
Elektronische ISSN: 1573-0484
DOI: https://doi.org/10.1007/s11227-018-2660-7

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft"

Springer Professional "Technik"

Springer Professional "Wirtschaft+Technik"

Weitere Artikel der Ausgabe 5/2019

Consistency model for runtime objects in the Open Community Runtime

Insight into tiles generated by means of a correction technique

Replica-aware task scheduling and load balanced cache placement for delay reduction in multi-cloud environment

FastMFDs: a fast, efficient algorithm for mining minimal functional dependencies from large-scale distributed data with Spark

Study on measurement error of iron ore pipeline transportation flow based on weight function theory of electromagnetic flow sensor

A segregational approach for determining aspect sentiments in social media analysis