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An Autonomous Resource Management Model towards Cloud Morphing

Published: 08 May 2023 Publication History

Abstract

This paper proposes an autonomous resource management model for future edge clouds with abundant and diverse computing resources. The model utilizes a pseudo cost function to allocate resources based on load, and a convex cost function to enable load balancing and idle-resource pooling. Stakeholders can manipulate the cost function or resource weights for micro-jobs to control resource utilization. We explore various cost tuning methods and present their performance through simulations.

References

[1]
Jeannie Albrecht, David Oppenheimer, Amin Vahdat, and David A. Patterson. 2008. Design and Implementation Trade-Offs for Wide-Area Resource Discovery. ACM Trans. Internet Technol. 8, 4, Article 18 (oct 2008).
[2]
Mansoor Alicherry and T.V. Lakshman. 2012. Network aware resource allocation in distributed clouds. In INFOCOM. 963--971.
[3]
Bob Briscoe, Vasilios Darlagiannis, Oliver Heckman, Huw Oliver, Vasilios Siris, David Songhurst, and Burkhard Stiller. 2003. A Market Managed Multi-Service Internet (M3I). Comput. Commun. 26, 4 (mar 2003), 404--414.
[4]
Liuhua Chen, Haiying Shen, and Karan Sapra. 2014. Distributed Autonomous Virtual Resource Management in Datacenters Using Finite-Markov Decision Process. In SOCC. ACM.
[5]
Richard J Gibbens and Frank P Kelly. 1999. Resource pricing and the evolution of congestion control. Automatica 35, 12 (1999), 1969--1985.
[6]
Albert Greenberg, James Hamilton, David A. Maltz, and Parveen Patel. 2009. The Cost of a Cloud: Research Problems in Data Center Networks. SIGCOMM CCR 39, 1 (dec 2009), 68--73.
[7]
F.P. Kelly, A.K. Maulloo, and D. Tan. 1998. Rate Control for Communication Networks:Shadow Prices, Proportional Fairness and Stability. Journal of the Operational Research Society 49 (02 1998).
[8]
Cinar Kilcioglu and Costis Maglaras. 2015. Revenue Maximization for Cloud Computing Services. SIGMETRICS Perform. Eval. Rev. 43, 3 (nov 2015), 76.
[9]
Jeffrey K. MacKie-Mason and Hal R. Varian. 1994. Pricing the Internet. Computational Economics 9401002. University Library of Munich, Germany. https://ideas.repec.org/p/wpa/wuwpco/9401002.html
[10]
J. Murphy, L. Murphy, and E.C. Posner. 1994. Distributed Pricing For Embedded ATM Networks. In The Fundamental Role of Teletraffic in the Evolution of Telecommunications Networks. Teletraffic Science and Engineering, Vol. 1. Elsevier, 1053--1063.
[11]
Irakli Nadareishvili, Ronnie Mitra, Matt McLarty, and Mike Amundsen. 2016. Microservice architecture: aligning principles, practices, and culture. O'Reilly Media, Inc.
[12]
Negar Rikhtegar, Manijeh Keshtgari, Omid Bushehrian, and Guy Pujolle. 2021. BiTE: a dynamic bi-level traffic engineering model for load balancing and energy efficiency in data center networks. Appl. Intell. 51 (2021), 4623--4648.
[13]
Soumya Sen, Carlee Joe-Wong, Sangtae Ha, and Mung Chiang. 2013. A Survey of Smart Data Pricing: Past Proposals, Current Plans, and Future Trends. ACM Comp. Surv. 46, 2 (nov 2013).
[14]
Jiayi Song and Roch Guerin. 2017. Pricing and bidding strategies for cloud computing spot instances. In IEEE INFOCOM WKSHPS. IEEE, 647--653.
[15]
Lalith Suresh, Peter Bodik, Ishai Menache, Marco Canini, and Florin Ciucu. 2017. Distributed Resource Management across Process Boundaries. In SoCC. ACM, 611--623.
[16]
Stuart Wagner, Eric Van Den Berg, Jim Giacopelli, Andrei Ghetie, Jim Burns, Miriam Tauil, Soumya Sen, Michael Wang, Mung Chiang, Tian Lan, Robert Laddaga, Paul Robertson, and Prakash Manghwani. 2012. Autonomous, Collaborative Control for Resilient Cyber Defense (ACCORD). In SASOW.
[17]
Jinlai Xu, Balaji Palanisamy, Heiko Ludwig, and Qingyang Wang. 2017. Zenith: Utility-Aware Resource Allocation for Edge Computing. In EDGE. IEEE, 47--54.
[18]
Sharrukh Zaman and Daniel Grosu. 2013. A Combinatorial Auction-Based Mechanism for Dynamic VM Provisioning and Allocation in Clouds. IEEE Transactions on Cloud Computing 1, 2 (2013), 129--141.
[19]
Xiaoxi Zhang, Zhiyi Huang, Chuan Wu, Zongpeng Li, and Francis C. M. Lau. 2017. Online Auctions in IaaS Clouds: Welfare and Profit Maximization With Server Costs. IEEE/ACM Transactions on Networking 25, 2 (2017), 1034--1047.

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cover image ACM Conferences
EdgeSys '23: Proceedings of the 6th International Workshop on Edge Systems, Analytics and Networking
May 2023
66 pages
ISBN:9798400700828
DOI:10.1145/3578354
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 08 May 2023

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Author Tags

  1. edge computing
  2. autonomous resource management
  3. convex cost function
  4. cloud morphing

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Overall Acceptance Rate 10 of 23 submissions, 43%

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