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Journal of Network and Systems Management
Erschienen in: Journal of Network and Systems Management 4/2018

14.02.2018

Determining Server Locations in Server Migration Service to Minimize Monetary Penalty of Dynamic Server Migration

verfasst von: Yukinobu Fukushima, Tutomu Murase, Gen Motoyoshi, Tokumi Yokohira, Tatsuya Suda

Erschienen in: Journal of Network and Systems Management | Ausgabe 4/2018

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Abstract

In this paper, we propose a new class of service called server migration service (SMS) to augment the existing IaaS (Infrastructure as a Service). SMS allows servers (server-side processes of a network application) to dynamically and automatically migrate as their clients (client-side processes of a network application) change their locations in order to reduce the total monetary penalty that the SMS provider pays to its SMS subscribers when failing to provide them with the guaranteed level of QoS. In this paper, we consider the monetary impact that arises from QoS degradation due to server migration and build an integer programming model to determine when and to which location servers should migrate to minimize the total monetary penalty incurred by the SMS provider. Numerical examples show that SMS achieves up to 96% lower total monetary penalty compared to that without server migration. Numerical examples also show that the integer programming model developed in this paper requires reasonable computation time under realistic parameter settings.
Vorheriger Artikel Resource Allocation for Reliable Communication Between Controllers and Switches in SDN
Nächster Artikel Flow-Aware Workload Migration in Data Centers

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Fußnoten
1
The latter is a multiple provider model. In the multiple provider model, the SMS provider is a different entity from the underlying network service provider. In this paper, however, we do not consider the multiple provider model.
 
2
JPN (Japan Photonic Network) [30] is a network model created by the Photonic Network Committee of the IEICEJ (Japanese counterpart of the IEEE) and closely resembles an existing nation-wide network operated by a Japanese Telecom Company. This network model includes explicit values of network parameters (e.g., node locations, physical distances of links), which are often proprietary and not disclosed.
 
3
The assumption of the negligible packet transmission time is realistic, as the Internet link speed is becoming faster and faster. For instance, with a typical link speed of 10 Gbits/sec in the Internet [31], transmission time of a 12000 bit (1500 byte) packet, a typical packet length [32], becomes 0.0012 ms, much smaller than the propagation delays assumed in this section. Similarly, the assumption of negligible queuing delay is realistic, as it is often reported that a very small buffer (e.g., a buffer for 10-20 packets) is sufficient for a core router to achieve high TCP throughputs [33]. Small buffer yields negligible queuing delay at routers.
 
4
See Sect. 3.2 for justification of these assumptions.
 
Literatur
1.
2.
3.
4.
Armbrust, M., Fox, A., Griffith, R., Joseph, D.A., Katz, R., Konwinski, A., Lee, G., Patterson, D., Rabkin, A., Stoica, I., Zaharia, M.: A view of cloud computing. Commun. ACM 53, 50–58 (2010)CrossRef
5.
6.
7.
8.
Clincy, V., Wilgor, B.: Subjective evaluation of latency and packet loss in a cloud-based game. In: 10th International Conference on Information Technology: New Generations, pp. 473–476 (2013)
9.
Chen, K., Xu, K., Xi, K., Chao, J.H.: Intelligent virtual machine placement for cost efficiency in geo-distributed cloud systems. In: IEEE International Conference on Communications (ICC), pp. 3498–3503 (2013)
10.
Anan, M., Nasser, N.: SLA-based optimization of energy efficiency for green cloud computing. In: IEEE Global Communications Conference (GLOBECOM), pp. 1–6 (2015)
11.
Anan, M., Nasser, N., Ahmed, A., Alfuqaha, A.: Optimization of power and migration cost in virtualized data centers. In: IEEE Wireless Communications and Networking Conference (WCNC), pp. 1–5 (2016)
12.
Harrison, G.C., Chess, M.D., Kershenbaum, A.: Mobile agents: Are they a good idea? Technical report. IBM Research Division (1995)
13.
Lange, B.D., Oshima, M.: Seven good reasons for mobile agents. Commun. ACM 42(3), 88–89 (1999)CrossRef
14.
Hara, T., Tsukamoto, M., Nishio, S.: A scheduling method of database migration for WAN environments. In: Brazilian Symposium on Database (SBBD), pp. 125–136 (1999)
15.
Ranjan, S., Rolia, J., Fu, H., Knightly, E.: QoS-driven server migration for Internet data centers. In: Tenth International Workshop on Quality of Service (IWQoS), pp. 3–12 (2002)
16.
Ichihara, H., Koizumi, Y., Ohsaki, H., Hato, K., Murayama, J., Imase, M.: On the integrated control of virtual machine live migration and traffic engineering for cloud computing. In: IEEE Global Communications Conference (GLOBECOM), pp. 1629–1634 (2012)
17.
Alicherry, M., Lakshman, V. T.: Network aware resource allocation in distributed clouds. In: IEEE Conference on Computer Communications (INFOCOM), pp. 963–971 (2012)
18.
19.
Bonomi, F., Milito, R., Zhu, J., Addepalli, S.: Fog computing and its role in the internet of things. In: Proceedings of the MCC Workshop on Mobile Cloud Computing, pp. 13–16 (2012)
20.
Mahmud, R., Buyya, R.: Fog Computing: A Taxonomy, Survey and Future Directions. arXiv preprint arXiv:​ 1611, 05539 (2016)
21.
Quadrio, G., Bujari, A., Palazzi, E.C., Ronzani, D., Maggiorini, D., Ripamonti, A.L.: Network analysis of the steam in-home streaming game system. In: The 22nd Annual International Conference on Mobile Computing and Networking (MobiCom), pp. 475–476 (2016)
22.
Lee, S.C.: The revolution of StarCraft network traffic. In: The 11th Annual Workshop on Network and System Support for Games (NetGames), Article No. 18 (2012)
23.
Nathan, S., Kulkarni, P., Bellur, U.: Resource availability based performance benchmarking of virtual machine migrations. In: The 4th ACM/SPEC International Conference on Performance Engineering (ICPE), pp. 387–398 (2013)
24.
25.
26.
27.
Lee, E.K., Gallagher, R.J., Silvern, D., Wuu, C.S., Zaider, M.: Treatment planning for brachytherapy: an integer programming model, two computational approaches and experiments with permanent prostate implant planning. Phys. Med. Biol. 44(1), 145 (1999)CrossRef
28.
Meng, X., Pappas, V., Zhang, L.: Improving the scalability of data center networks with traffic-aware virtual machine placement. In: IEEE Conference on Computer Communications (INFOCOM) (2010)
29.
Ramaswami, R., Sivarajan, N.K.: Design of logical topologies for wavelength-routed optical networks. IEEE J. Sel. Areas Commun. 14(5), 840–851 (1996)CrossRef
30.
31.
Xue, L., Cui, C., Kumar, S.: Experimental evaluation of the effect of queue management schemes on the performance of high speed TCPs in 10Gbps network environment. In: International Conference on Computing, Networking, and Communications (ICNC), pp. 315–319 (2012)
32.
Vishwanath, A, Zhu, J, Hinton, K, Ayre, R, Tucker, R.: Estimating the energy consumption for packet processing, storage and switching in optical-IP routers. In: Optical Fiber Communication Conference (OFC), paper OM3A.6 (2013)
33.
Enachescu, M., Ganjali, Y., Goel, A., McKeown, N., Roughgarden, T.: Part III: Routers with very small buffers. SIGCOMM Comp Comm rev 35, 83–90 (2005)CrossRef
34.
35.
36.
Arora, S.: Approximation Schemes for NP-hard Geometric Optimization Problems: A Survey. Mathematical Programming 97, 43–69 (2003)MathSciNetCrossRefMATH
37.
Metadaten
Titel
Determining Server Locations in Server Migration Service to Minimize Monetary Penalty of Dynamic Server Migration
verfasst von
Yukinobu Fukushima
Tutomu Murase
Gen Motoyoshi
Tokumi Yokohira
Tatsuya Suda
Publikationsdatum
14.02.2018
Verlag
Springer US
Erschienen in
Journal of Network and Systems Management / Ausgabe 4/2018
Print ISSN: 1064-7570
Elektronische ISSN: 1573-7705
DOI
https://doi.org/10.1007/s10922-018-9451-6

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