Abstract
Desktop cloud platforms, such as UnaCloud and CernVM, run clusters of virtual machines taking advantage of idle resources on desktop computers. These platforms execute virtual machines along with the applications started by the users in those desktops. Unfortunately, although the use of computer resources is better, desktop user actions, such as turning off the computer or running certain applications may conflict with the virtual machines. Desktop clouds commonly run applications based on technologies such as Tensorflow or Hadoop that rely on master-worker architectures and are sensitive to failures in specific nodes. To support these new types of applications, it is important to understand which failures may interrupt the execution of these clusters, what faults may cause some errors and which strategies can be used to mitigate or tolerate them. Using the UnaCloud platform as a case study, this paper presents an analysis of (1) the failures that may occur in desktop clouds and (2) the mitigation strategies available to improve dependability.
This work has been partially carried out with resources provided by the CYTED cofunded Thematic Network RICAP (517RT0529).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Alwabel, A., Walters, R., Wills, G.: A view at desktop clouds. In: International Workshop on Emerging Software as a Service and Analytics (ESaaSA 2014), pp. 55–61 (2014)
Avizienis, A., Laprie, J.C., Randell, B., Landwehr, C.: Basic concepts and taxonomy of dependable and secure computing. IEEE Trans. Dependable Secure Comput. 1(1), 11–33 (2004)
Bakken, D.E., Schlichting, R.D.: Tolerating failures in the bag-of-tasks programming paradigm. In: 21st International Symposium on Fault-Tolerant Computing, FTCS-21, pp. 248–255. IEEE (1991)
Cunsolo, V., Distefano, S., Puliafito, A., Scarpa, M.: Volunteer computing and desktop cloud: the Cloud@Home paradigm. In: 8th IEEE International Symposium on Network Computing and Applications, NCA 2009, pp. 134–139 (2009)
Jonsson, E.: An integrated framework for security and dependability. In: The 1998 Workshop on New Security Paradigms, NSPW 1998, pp. 22–29 (1998)
Jonsson, E.: Towards an integrated conceptual model of security and dependability. In: The First International Conference on Availability, Reliability and Security, ARES 2006, 8 pp. IEEE (2006)
Kangarlou-Haghighi, A.: Improving the reliability and performance of virtual cloud infrastructures. Ph.D. thesis, Purdue University (2011)
Kondo, D.: Scheduling task parallel applications for rapid turnaround on desktop grids. Ph.D. thesis, University of California, San Diego (2005)
Laprie, J.C.: Dependability: basic concepts and terminology. In: Laprie, J.C. (ed.) Dependability Basic Concepts and Terminology. Dependable Computing and Fault-Tolerant Systems, vol. 5. Springer, Vienna (1992). https://doi.org/10.1007/978-3-7091-9170-5_1
Prasad, D., McDermid, J., Wand, I.: Dependability terminology: similarities and differences. In: 10th Annual Conference on Computer Assurance, COMPASS 1995, pp. 213–221. IEEE (1995)
Rosales, E., Castro, H., Villamizar, M.: UnaCloud: opportunistic cloud computing infrastructure as a service. In: Cloud Computing, pp. 187–194 (2011)
Sarmenta, L.F.G.: Volunteer computing. Ph.D. thesis, Massachusetts Institute of Technology (2001)
Segal, B., et al.: LHC cloud computing with CernVM. PoS, p. 004 (2010)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Gómez, C.E., Chavarriaga, J., Castro, H.E. (2019). Fault Characterization and Mitigation Strategies in Desktop Cloud Systems. In: Meneses, E., Castro, H., Barrios Hernández, C., Ramos-Pollan, R. (eds) High Performance Computing. CARLA 2018. Communications in Computer and Information Science, vol 979. Springer, Cham. https://doi.org/10.1007/978-3-030-16205-4_24
Download citation
DOI: https://doi.org/10.1007/978-3-030-16205-4_24
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-16204-7
Online ISBN: 978-3-030-16205-4
eBook Packages: Computer ScienceComputer Science (R0)