Cited by 45Distributed and Parallel Computing SystemsCloud Computing and Resource ManagementDistributed systems and fault tolerance

The evolution of distributed computing systems: from fundamental to new frontiers

Open access
Lindsay, Dominic, Gill, Sukhpal Singh, Smirnova, Daria, Garraghan, Peter·2021·Computing

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Crossref · 10.1007/s00607-020-00900-y

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  • Mobile MEC users form a transient population with varying requirements.

    “Mobile MEC users form a transient population with varying requirements [96].”

    From Edge AI: A survey (2023) · cites this paper as [96]

    The “Cloud, Mobile & IoT” and “Fog and Edge Computing” sections discuss mobile devices and edge infrastructure, but do not describe MEC users as a transient population or say their requirements vary. Searches for those user characteristics found no passage addressing them in our copy. (LLM, conf=0.72)

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  • Strategies for avoiding overloading and disaster management procedures for recovering non-functional base stations were central to Multi-access Edge Computing.

    “Central to MEC were strategies for avoiding overloading and “disaster management” procedures for recovering non-functional base stations [96].”

    From Edge AI: A survey (2023) · cites this paper as [96]

    The ‘Fog and Edge Computing (2010-present)’ section discusses edge infrastructure and decentralized workflows, but not Multi-access Edge Computing strategies for preventing overload or recovering base stations. Searches for disaster management, non-functional base stations, and MEC overload found no passage addressing those procedures. Page numbers were unavailable in our copy. (LLM, conf=0.76)

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References 77 · Cited by 45

Research works printed but not linked: 11

  1. A. D. Birrell, R. Levin, M. D. Schroeder, and R. M. Needham, "Grapevine: an exercise in distributed computing," Commun. ACM, vol. 25, no. 4, pp. 260-274, 1982.
  2. P. Mell and T. Grance, "The NIST Definition of Cloud Computing Recommendations of the National Institute of Standards and Technology," Nist Spec. Publ., vol. 145, p. 7, 2011.
  3. D. Evans, "The Internet of Things -How the Next Evolution of the Internet is Changing Everything," CISCO white Pap., no. April, pp. 1-11, 2011.
  4. J. Yu and R. Buyya, "A Taxonomy of Workflow Management Systems for Grid Computing," pp. 1-31.
  5. B. M. Leiner et al., "Internet Society (ISOC) All About the Internet : A Brief History of the Internet Internet Society ( ISOC ) All About the Internet : A Brief History of the Internet," pp. 1-18, 2000.
  6. D. Lindsay, S. S. Gill, and P. Garraghan. "PRISM: an experiment framework for straggler analytics in containerized clusters." In Proceedings of the 5th International Workshop on Container Technologies and Container Clouds, pp. 13-18. 2019.
  7. V. Vavilapallih, A. Murthyh, C. Douglasm, M. Konarh, R. Evansy, T. Gravesy, J. Lowey, S. Sethh, B. Sahah, C. Curinom, O. O'Malleyh, S. Agarwali, H. Shahh, S. Radiah, B. Reed, and E. Baldeschwieler, "Apache Hadoop YARN," in SoCC , 2013, pp. 1-16.
  8. K. Ousterhout, P. Wendell, M. Zaharia, I. Stoica, "Sparrow: distributed, low latency scheduling", Proceedings of the 24th ACM Symposium on Operating Systems Principles, 2013, pp. 69-84.
  9. W. Xiao, et al, "Gandiva, Introspective Cluster Scheduling for Deep Learning" OSDI, 2018.
  10. W. Xiao, R.Bhardwaj, R. Ramjee, M. Sivathanu, N. Kwatra, Z. Han, P. Patel, X. Peng, H. Zhao, Q. Zhang, F. Yang, L. Zhou. 2018. Gandiva: introspective cluster scheduling for deep learning. In Proceedings of the 13th USENIX conference on Operating Systems Design and Implementation (OSDI'18). USENIX Association, USA, 595-610.
  11. I. R. Z. Michael Kaufmann, IBM Research Zurich, Karlsruhe Institute of Technology; Kornilios Kourtis, "The HCl Scheduler: Going all-in on Heterogeneity," 9th {USENIX} Work. Hot Top. Cloud Comput. (HotCloud 17), pp. 1-7, 2017.

Authors
Lindsay, D., Gill, S. S., Smirnova, D., & Garraghan, P.
Affiliations
  • Lancaster University (GB)
  • Queen Mary University of London (GB)
Corresponding author
Gill, Sukhpal Singh
Venue
Computing
Published
2021-01-30
Volume
103
Issue
8
Pages
1859-1878
ISSN
  • 0010-485X (ISSN-L)
  • 1436-5057
OpenAlex
W3129170899
Cited by
45
References
77
Citations by year
2026: 6 · 2025: 12 · 2024: 11 · 2023: 6 · 2022: 7 · 2021: 3
FWCI
3.03
Type
journal article
Language
en
Open access
Locations
  • Computing (publishedVersion)
  • Lancaster EPrints (Lancaster University) (submittedVersion, other-oa)
  • Queen Mary Research Online (Queen Mary University of London) (submittedVersion)
Funders
Engineering and Physical Sciences Research Council (EP/P031617/1)
Topics
  • Physical Sciences › Computer Science › Computer Networks and Communications › Distributed and Parallel Computing Systems
  • Physical Sciences › Computer Science › Information Systems › Cloud Computing and Resource Management
  • Physical Sciences › Computer Science › Computer Networks and Communications › Distributed systems and fault tolerance
Keywords
distributed computing, cloud computing, fog computing, Internet of Things, edge computing, mainframe computers, internet, Moore's law, centralization and decentralization, coordination, climate change, research challenges

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