On the integrated control of virtual machine live migration and traffic engineering for cloud computing

Ichihara, Hirofumi; Ohsaki, Hiroyuki; Hato, Kunio; Murayama, Junichi; Imase, Makoto

doi:10.1109/glocom.2012.6503347

Cited by 5 publications

(13 citation statements)

References 8 publications

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“…In [9], the effectiveness of the integrated control of virtual machine live migration and traffic engineering is investigated in geographically distributed data centers. The simulation results with the mixed integer programming problem show that the integrated control outperforms the individual control.…”

Section: Related Workmentioning

confidence: 99%

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An on-line algorithm to determine the location of the server in a server migration service

Yuta

Fukushima

Yokohira

et al. 2015

2015 12th Annual IEEE Consumer Communications and Networking Conference (CCNC)

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In IaaS cloud services, QoS of network applications (NW-Apps) may degrade due to location factors such as significant distance between a server-side application (server) of a NW-App at a data center and a client-side application (client) of the NW-App at a client terminal. In order to shorten the distance and to improve the QoS, server migration services (SMSes) have been proposed. In SMSes, servers may migrate between different computers (called work places, WPs) on a network to prevent QoS degradation caused by the changes of client locations. Although server migrations can improve QoS of NW-Apps, they also generate a huge amount of traffic (server migration traffic) in the network. This paper focuses on a server location decision problem where the location of a server is decided in an on-line manner so that QoS of a NWApp is improved under the constraint that the server migration traffic has to be suppressed below an acceptable level. For the problem, we propose a practical on-line algorithm. The key idea behind the proposed algorithm is that the location of the server is decided with consideration of the QoS degradation in the future. The algorithm defines the averagely good location for the server where the QoS is expected to be relatively good for various client locations. Then, it keeps the range of the server's migration within the returnable range where the server can soon come back to the averagely good location. As a result, the QoS can be always kept as good as the one under the averagely good location. Simulation results show that the proposed algorithm improves QoS of the NW-App by up to 30% compared to a greedy algorithm.

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Section: Related Workmentioning

confidence: 99%

“…Previous work related to SMSes includes live migration of VMs [6], migration of databases (DBs) [7], server migration within a single data center [8], VM migration/placement in geographically distributed data centers [9,10,11], and server location decision in an SMS [4,5].…”

Section: Related Workmentioning

confidence: 99%

An on-line algorithm to determine the location of the server in a server migration service

Yuta

Fukushima

Yokohira

et al. 2015

2015 12th Annual IEEE Consumer Communications and Networking Conference (CCNC)

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“…While live migration is performed between data centers by cloud providers, routing, which determines routes so that utilization of their network resources is minimized, is done in networks that connect geographically dispersed data centers by network providers [8], [9]. Since these two individual controls make the both operators hinder each other from satisfying their objectives, an integrated control of live migration and routing is proposed and the theoretical upper bounds of the achievable performance are derived in [10]. They formulate the integrated control as a mixed integer linear programming problem.…”

Section: Introductionmentioning

confidence: 99%

“…To derive the theoretical lower bounds of end-to-end delay achieved by our proposed method, we formulate the integrated control as a mixed integer non-linear programming problem. The proposed model incorporates delay due to Wi-Fi communications, i.e., packets collisions, backoffs, and queueing delays due to the collisions, whereas the model in [10] adopts simple M/M/1 delay formulas, where only a link load is a factor to determine delay on links. Furthermore, our new model includes end-to-end delay constraints, which represents a service level agreement, whereas the model in [10] does not.…”

Section: Introductionmentioning

confidence: 99%

“…The proposed model incorporates delay due to Wi-Fi communications, i.e., packets collisions, backoffs, and queueing delays due to the collisions, whereas the model in [10] adopts simple M/M/1 delay formulas, where only a link load is a factor to determine delay on links. Furthermore, our new model includes end-to-end delay constraints, which represents a service level agreement, whereas the model in [10] does not. The main contributions of this paper are twofold: i) We formulate the integrated control as a solvable mixed integer non-linear programming while it incorporates the complex behaviors of Wi-Fi communications.…”

Section: Introductionmentioning

confidence: 99%

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On live migration and routing integration for delay-sensitive cloud services in wireless mesh networks

Manaka

Hasegawa

2015

2015 IEEE International Conference on Communications (ICC)

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Virtual machine live migration is a promising solution to provide low end-to-end delay for delay-sensitive applications hosted in data centers. This enables a cloud operator to minimize end-to-end delay by placing virtual machines to the nearest data centers from users. However, a network operator does routing with a different objective, e.g., minimize network resource usages. Since the both operators' objectives are contradictory to each other, we previously proposed to integrate live migration and routing in backbone networks to resolve the contradiction. However, the dominant factor of end-to-end delay for cloud services is a congestion delay at access networks, which was not taken into account in our previous work. In this paper, we apply the integration into wireless access networks prone to suffer from large end-to-end delay and validate its effectiveness in such networks by formulating it as a solvable mixed integer non-liner program. Our new integration model incorporates congestion delays due to wireless links and therefore enables cloud operators to maintain small end-to-end delays for cloud applications. The numerical results indicate that integration of live migration and routing is successful at providing low end-to-end delay to delaysensitive applications by resolving the contradiction. IEEE ICC 2015 SAC -Data Storage and Cloud Computing 978-1-4673-6432-4/15/$31.00 ©2015 IEEE

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Minimizing the monetary penalty and energy cost of server migration service

Fukushima

Suda²,

Murase

et al. 2022

Trans Emerging Tel Tech

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Current IaaS (infrastructure as a service) cloud service may not satisfy communication QoS (quality of service) requirements of delay-sensitive network applications, if there is a significant physical distance between a server of the network application (NetApp server) at a data center and its network application clients (NetApp clients). In order to improve communication QoS of NetApp clients, we propose server migration service (SMS) in this article. SMS allows NetApp servers to migrate among different locations in the network (1) to optimally locate themselves in relation to NetApp clients and mitigate the QoS degradation caused by location-related factors (ie, propagation delays on network links) and (2) to optimally distribute traffic load over routers and processing load over (physical) computers and decrease the energy consumption.We develop a mixed-integer programming model that determines when and to which locations NetApp servers migrate to minimize the total operating cost of SMS, that is, the sum of the monetary penalty incurred due to QoS violation and energy cost incurred due to energy consumption, while preventing NetApp servers from excessively migrating and adversely impacting QoS of the non-SMS service that share the resource of the substrate network with SMS. Simulation results show that the model developed in this article achieves up to 42% lower total operating cost of SMS compared to the model that only minimizes the monetary penalty of SMS without considering the energy cost of SMS.

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On the integrated control of virtual machine live migration and traffic engineering for cloud computing

Cited by 5 publications

References 8 publications

An on-line algorithm to determine the location of the server in a server migration service

An on-line algorithm to determine the location of the server in a server migration service

On live migration and routing integration for delay-sensitive cloud services in wireless mesh networks

Minimizing the monetary penalty and energy cost of server migration service

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