Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Big Data Security on Cloud Servers Using Data Fragmentation Technique and NoSQL Database Read chapter Read first chapter

2019 | OriginalPaper | Chapter

A MAS Model for Reaching Goals in Critical Systems

Authors : Flora Amato, Giovanni Cozzolino, Antonino Mazzeo, Francesco Moscato

Published in: Intelligent Interactive Multimedia Systems and Services

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

The exploitation of Cloud infrastructure in Big Data management is appealing because of costs reductions and potentiality of storage, network and computing resources. The Cloud can consistently reduce the cost of analysis of data from different sources, opening analytics to big storages in a multi-cloud environment. Anyway, creating and executing this kind of service is very complex since different resources have to be provisioned and coordinated depending on users’ needs. Orchestration is a solution to this problem, but it requires proper languages and methodologies for automatic composition and execution. In this work we propose a methodology for composition of services used for analyses of different Big Data sources: in particular an Orchestration language is reported able to describe composite services and resources in a multi-cloud environment.

Dont have a licence yet? Then find out more about our products and how to get one now:

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!

inform now

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!

inform now

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!

inform now
previous chapter The Vive Controllers vs. Leap Motion for Interactions in Virtual Environments: A Comparative Evaluation
next chapter A GDPR-Compliant Approach to Real-Time Processing of Sensitive Data
Footnotes
Literature
1.
White, T.: Hadoop: The definitive guide. O’Reilly Media, Inc., Sebastopol (2012)
2.
VV.AA. Us government cloud computing technology roadmap release 1.0 (draft). In: Special Publication 500-293, vol. 2, pp. 1–85. NIST (2011)
3.
Lorenzo, G.D., Mazzocca, N., Moscato, F., Vittorini, V.: Towards semantics driven generation of executable web services compositions. Int. J. Softw. JSW 2(5), 1–15 (2007)
4.
Dustdar, S., Schreiner, W.: A survey on web services composition. Int. J. Web Grid Serv. 1(1), 1–30 (2005)CrossRef
5.
Traverso, P., Pistore, M.: Automated composition of semantic web services into executable processes. In: The Semantic Web-ISWC 2004, pp. 380–394. Springer (2004)CrossRef
6.
Amato, F., Moscato, F.: Pattern-based orchestration and automatic verification of composite cloud services. Comput. Electr. Eng. 56, 842–853 (2016)CrossRef
7.
Amato, F., Barbareschi, M., Casola, V., Mazzeo, A., Romano, S: Towards automatic generation of hardware classifiers. In: Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). LNCS, PART 2, vol. 8286, pp. 125–132 (2013)CrossRef
8.
Moscato, F., Martino, B.D., Aversa, R.: Enabling model driven engineering of cloud services by using mosaic ontology. Scalable Comput. Pract. Exp. 13(1), 29–44 (2012)
9.
Moscato, F., Aversa, R., Martino, B.D., Fortis, T.-F., Munteanu, V.I.: An analysis of mosaic ontology for cloud resources annotation. In: IEEE Proceedings of the FedCSIS 2011 Conference, pp. 973–980 (2011)
10.
Della Vecchia, G., Gallo, L., Esposito, M., Coronato, A.: An infrastructure for smart hospitals. Multimed. Tools Appl. 59(1), 341–362 (2012)CrossRef
11.
Essmaeel, K., Gallo, L., Damiani, E., De Pietro, G., Dipanda, A.: Comparative evaluation of methods for filtering kinect depth data. Multimed. Tools Appl. 74(17), 7331–7354 (2015)CrossRef
12.
Brancati, N., Caggianese, G., Frucci, M., Gallo, L., Neroni, P.: Touchless target selection techniques for wearable augmented reality systems. In: Intelligent Interactive Multimedia Systems and Services, pp. 1–9. Springer (2015)
13.
Moscato, F.: Model driven engineering and verification of composite cloud services in MetaMORP(h)OSY. In: Proceedings of 6th, International Conference on Intelligent Networking and Collaborative Systems INCoS 2014. IEEE (2014)
14.
Moscato, F., Amato, F.: Thermal-aware verification and monitoring of service providers in MetaMORP(h)OSY. In: Proceedings of 6th, International Conference on Intelligent Networking and Collaborative Systems INCoS 2014. IEEE (2014)
15.
Ranjan, R., Benatallah, B., Dustdar, S., Papazoglou, M.P.: Cloud resource orchestration programming: overview, issues, and directions. IEEE Internet Comput. 19(5), 46–56 (2015)CrossRef
16.
Liu, C., Loo, B.T., Mao, Y.: Declarative automated cloud resource orchestration. In: Proceedings of the 2nd ACM Symposium on Cloud Computing, p. 26. ACM (2011)
17.
Kumar, R., Gupta, N., Charu, S., Jain, K., Jangir, S.K.: Open source solution for cloud computing platform using openstack. Int. J. Comput. Sci. Mob. Comput. 3(5), 89–98 (2014)
18.
Plotkin, G.D.: A structural approach to operational semantics (1981)
19.
20.
Moscato, F., Aversa, R., Amato, A.: Describing cloud use case in MetaMORP(h) OSY. In: IEEE Proceedings of the CISIS 2012 Conference, pp. 793–798 (2012)
21.
Barolli, L., Chen, X., Xhafa, F.: Advances on cloud services and cloud computing. Concurr. Comput. 27(8), 1985–1987 (2015)CrossRef
22.
Pop, F., Dobre, C., Cristea, V., Bessis, N., Xhafa, F., Barolli, L.: Reputation-guided evolutionary scheduling algorithm for independent tasks in inter-clouds environments. Int. J. Web Grid Serv. 11(1), 4–20 (2015)CrossRef
Metadata
Title
A MAS Model for Reaching Goals in Critical Systems
Authors
Flora Amato
Giovanni Cozzolino
Antonino Mazzeo
Francesco Moscato
Copyright Year
2019
Book
Intelligent Interactive Multimedia Systems and Services

Print ISBN: 978-3-319-92230-0

Electronic ISBN: 978-3-319-92231-7

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-319-92231-7_4

Premium Partner

    Image Credits