Temporal Load-Balancing of Web-Server Traffic

Sandnes, Frode Eika; Huang, Yo-Ping

doi:10.1109/pdcat.2006.106

Cited by 2 publications

(2 citation statements)

References 17 publications

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“…For our application, one relevant study is by Sandnes and Huang [10], in which a temporal load balancing strategy for distributed web applications is proposed and analyzed. The effect of delay-tolerant bulk transfers such as backups on Internet traffic is explored in [5], along with a discussion on how to utilize off-peak capacity to perform these transfers.…”

Section: Introductionmentioning

confidence: 99%

Distributed backup scheduling: Modeling and optimization

Ven

Zhang

Schörgendorfer

2014

IEEE INFOCOM 2014 - IEEE Conference on Computer Communications

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Abstract-Recent years have seen rapid growth in data storage, magnifying the importance of ensuring data safety by performing regular backups. However, traffic created by such backups can be a significant burden on the underlying communication network. In the present paper we address the tradeoff between frequent backups (increased safety) and reducing the network peak load. We address the problem of shifting backup traffic from peak hours to off-peak hours within the constraints imposed by user connectivity. Backups are scheduled using a distributed protocol characterized by a set of probabilities that indicate the likelihood of a user initiating a backup during a given hour. Given these probabilities, we study the network capacity by investigating the rate at which users can generate data while retaining stable backlog processes. We then derive explicit expressions for the stationary behavior of the backup process, and discuss how to choose the backup probabilities that strike the right balance between a low peak load and data safety. Via simulation experiments we show that this approach is highly successful in reducing costs.

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Section: Introductionmentioning

confidence: 99%

Distributed backup scheduling: Modeling and optimization

Ven

Zhang

Schörgendorfer

2014

IEEE INFOCOM 2014 - IEEE Conference on Computer Communications

View full text Add to dashboard Cite

show abstract

“…The term load balancing often refers to the practice of distributing workload evenly across multiple workstations or servers to achieve optimal resource utilization. The most relevant study that we are aware of is by Sandnes and Huang [2], in which a temporal load balancing strategy for distributed web applications is proposed and analyzed. The problem of temporal load-balancing is also related to incentivizing commuters to travel at less congested times [1] and peak-shaving in power systems [3].…”

Section: Introductionmentioning

confidence: 99%