Merging traffic to save energy in the enterprise

Yiu, Candy; Singh, Suresh

doi:10.1145/2318716.2318734

Cited by 8 publications

(7 citation statements)

References 10 publications

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“…Saving power consumption can be achieved on a larger scale by introducing intelligence into the network infrastructure at various levels by implementing different type of technique, methods, algorithms. One research paper developed a greenclustering algorithm [6], which is very close to the work done here and shares most of its common goals, in particular the goal of reducing power consumption in a wireless network. The green-clustering algorithm was introduced to enable the central controller in a WLAN to take certain decisions to power on and off portions based on some predefined condition like deployment, location of access points, and locally derived information.…”

Section: Literature Reviewmentioning

confidence: 95%

Analysis of energy consumption and power management of wireless local area network using centralize controller

Bhola

Jha

2013

2013 International Conference on Green Computing, Communication and Conservation of Energy (ICGCE)

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In the last few years, the rising demand of portable devices added to the competition and resulting increase in quality for secure , reliable and faster means of communication from wireless LAN infrastructure. Furthermore, the infrastructure already exists in most public places and is cheaper to extend. This has led to expansion in the size of wireless networks, which in turn has increased the cost and power consumption of access points and switches in the WLAN network infrastructure. The present work tends to address the best design technique for maximum efficiency in terms of power saving and cost of communication network. In order to save energy in communication networks, first we design centralized network with the help of network infrastructure and controller.Next, we will propose a novel approach to reduce the power consumption of access points by making a controller more intelligent. We assume that it will be capable of taking appropriate decision , when the new user comes under the coverage of sleep access point. At some particular condition , our proposed intelligent controller based technique can be more efficient in terms of power consumption of WLAN and this minimize the cost. Next with the use of a powerful control mechanism an effort will be made to achieve the efficient power consumption over the network. All this will minimize power consumption and maximize the throughput of the network.In order to reach the optimal results, we assimilate it with some more approaches. The results so achieved will illustrate that this approach can afford a significant lifetime rectification over other power saving techniques on WLAN.

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Section: Literature Reviewmentioning

confidence: 95%

Analysis of energy consumption and power management of wireless local area network using centralize controller

Bhola

Jha

2013

2013 International Conference on Green Computing, Communication and Conservation of Energy (ICGCE)

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“…Because of the fact that we are breaking the 1-1 association of a switch interface to a server interface, several layer 2 protocols will break. In the previous paper [15], we have addressed this issue as well and show how the merge network and some additional switch software can overcome this limitation.…”

Section: Merge Networkmentioning

confidence: 99%

Minimizing Energy Consumption of FatTree Data Center Networks

Singh

2014

SIGMETRICS Perform. Eval. Rev.

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Many data centers are built using a fat-tree network topology because of its high bisection bandwidth. There is a need to develop analytical models for the energy behavior of fat-tree networks and examine strategies to reduce energy consumption. The most effective strategy is to power off entire switches, if possible. In this paper, we derive formulas for the minimum number of active switches needed in a fat-tree data center network for arbitrary types of loading. We also derive expressions for the expected traffic loss when these networks are overloaded with external (Internet) traffic. Results of detailed simulations conducted using well-known traffic models for data center networks [4] closely match our derived formulas. We show that a fat-tree network incurs significant energy cost (approximately 45% of the energy cost of the data center) even when very lightly loaded. In order to further reduce energy consumption, we need to consolidate traffic into fewer switches. We derive expressions for energy cost versus load assuming traffic consolidation and show linear scaling. Finally, we observe that traffic patterns have a significant impact on energy consumption and this fact is evident in the analytical formulas.

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“…To estimate the loss probability for a given K, we can use Erlang's B formula [8] if the merged traffic follows a Poisson distribution and if packet lengths are exponentially distributed. The reason this is possible is because the K switch ports can be viewed as servers in a queuing system.…”

Section: B Efficiency Testmentioning

confidence: 99%

“…Engineering advances in cooling, virtualization, multi-core servers, DC power, etc. have led to significant improvements in the Power Usage Effectiveness (PUE) of data centers [8]. Such work focuses on reducing the energy use of data centers and their components.…”

Section: Introductionmentioning

confidence: 99%

Energy Efficient Hot Spot Load Balancing in Mobile Cellular Network

Mallik

2012

2012 Third International Conference on Computer and Communication Technology

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Energy consumption in an efficient way for data centers and mobile network is an important social, economical problem. This paper concentrates on the feasibility energy consumption in mobile network system by improving the load calculation, resource allocation and access techniques. We perform a efficiency based study to evaluate three issues related with energy consumption: the impact of hot spot load balancing, role of signal switch on-off system and proper resource allocation. Our results highlight that hot spot load balancing can significantly reduce the required energy more efficiently with the help of resource allocation and access in an efficient manner. Further, our results show that signal transmitter switch on-off can be useful, especially in combination with hot spot load balancing, and an optimized coverage area calculation. This paper proposes a new Load Balancing technique in congested area through appropriate access point selection and proper cell shaping. This paper proposes new Access Point Architecture with two types of access points; one is programmable Intelligent Access Point (IAP) that can control multiple Conventional Access Point (CAP). This paper will also minimize the no service area problem. The proposed approach is evaluated with repulsion factors which occur due to un served area in a cell area. This paper also proposes solutions for different types of load, e.g. static load, dynamic load. Static load is fixed but Dynamic load is due to some moving user concentrations. The proposed algorithm is co operative in nature, so that the neighboring access points of a particular access point will get information from their neighbors. Through this new concept we have seen performance improvement as well as efficient resource utilization.

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Merging traffic to save energy in the enterprise

Cited by 8 publications

References 10 publications

Analysis of energy consumption and power management of wireless local area network using centralize controller

Analysis of energy consumption and power management of wireless local area network using centralize controller

Minimizing Energy Consumption of FatTree Data Center Networks

Energy Efficient Hot Spot Load Balancing in Mobile Cellular Network

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