Joint Host-Network Optimization for Energy-Efficient Data Center Networking

@article{Jin2013JointHO,
  title={Joint Host-Network Optimization for Energy-Efficient Data Center Networking},
  author={Hao Jin and Tosmate Cheocherngngarn and Dmita Levy and Alex Smith and Deng Pan and Jason Liu and Niki Pissinou},
  journal={2013 IEEE 27th International Symposium on Parallel and Distributed Processing},
  year={2013},
  pages={623-634}
}
Data centers consume significant amounts of energy. As severs become more energy efficient with various energy saving techniques, the data center network (DCN) has been accounting for 20% or more of the energy consumed by the entire data center. While DCNs are typically provisioned with full bisection bandwidth, DCN traffic demonstrates fluctuating patterns. The objective of this work is to improve the energy efficiency of DCNs during off-peak traffic time by powering off idle devices. Although… Expand
Performance-Aware Energy Saving for Data Center Networks
TLDR
A heuristic algorithm to provide practical and efficient solution for the mixed integer linear problem (MILP) solvable by CPLEX in order to minimize the energy consumed by DCN; meanwhile, safety threshold constraints for links utilization are met. Expand
Host and network optimizations for performance enhancement and energy efficiency in data center networks
TLDR
A parallel packet switch (PPS) architecture that directly processes variable length packets without segmentation-and-reassembly (SAR) is proposed, which achieves large bandwidth by combining switching capacities of multiple fabrics, and it further improves the switch throughput by avoiding padding bits in SAR. Expand
Correlation-Aware Traffic Consolidation for Power Optimization of Data Center Networks
TLDR
CARPO, a correlation-aware power optimization algorithm that dynamically consolidates traffic flows onto a small set of links and switches in a DCN and then shuts down unused network devices for energy savings, is proposed. Expand
Joint power optimization of data center network and servers with correlation analysis
TLDR
The proposed PowerNetS is a power optimization strategy that leverages workload correlation analysis to jointly minimize the total power consumption of servers and the DCN, which leads to less inter-server traffic and thus more energy savings and shorter network delays. Expand
Dynamic Control of Flow Completion Time for Power Efficiency of Data Center Networks
  • Kuangyu Zheng, Xiaorui Wang
  • Computer Science
  • 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS)
  • 2017
TLDR
Results from both hardware experiments and simulation evaluations demonstrate that, compared to the state-of-the-art DCN power optimization schemes, FCTcon can improve the DCN FCT performance, while achieving nearly the same or even more power savings. Expand
PowerNetS: Coordinating Data Center Network With Servers and Cooling for Power Optimization
TLDR
This paper proposes PowerNetS, a power optimization framework that coordinates servers and DCN, as well as cooling, for minimized power consumption of a data center, and leverages workload correlation analysis for more energy savings during server and traffic consolidations. Expand
Joint Host-Network Power Scaling with Minimizing VM Migration in SDN-enabled Cloud Data Centers
TLDR
Experimental results show that the proposed algorithms can reduce power consumption by about 11 percent, while completing between 18 to 25 percent more VM migrations compared to the baseline algorithm, which only minimizes migration without guaranteeing lowest power consumption. Expand
Energy Optimization by Flow Routing Algorithm in Data Center Network Satisfying Deadline Requirement
TLDR
This paper forms the routing problem as a 0-1 integer programming problem, and proposes a two-phase energy-efficient flow routing algorithm that achieves better performance in terms of energy saving, link utilization, as well as the active switch ratio. Expand
Joint flow routing-scheduling for energy efficient software defined data center networks: A prototype of energy-aware network management platform
TLDR
This paper developed a component for energy monitoring and routing in OpenNaaS and shows that the combination of priority-based shortest routing and exclusive flow scheduling achieves about 5%-35% higher energy efficiency without performance degradation. Expand
A Classification and Survey of Energy Efficient Methods in Software Defined Networking
TLDR
This article provides a comprehensive and novel classification of software-based energy efficient solutions into subcategories of traffic aware, end system aware and rule placement, and proposes general optimization models for each subcategory. Expand
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 28 REFERENCES
Energy-aware routing in data center network
TLDR
The model of energy-aware routing in data center network is established, and a heuristic algorithm is designed to achieve the idea, which shows that energy- aware routing can effectively save power consumed by network devices. Expand
ElasticTree: Saving Energy in Data Center Networks
TLDR
This work presents ElasticTree, a network-wide power1 manager, which dynamically adjusts the set of active network elements -- links and switches--to satisfy changing data center traffic loads, and demonstrates that for data center workloads, ElasticTree can save up to 50% of network energy, while maintaining the ability to handle traffic surges. Expand
Improving the Scalability of Data Center Networks with Traffic-aware Virtual Machine Placement
TLDR
This paper designs a two-tier approximate algorithm that efficiently solves the VM placement problem for very large problem sizes and shows a significant performance improvement compared to existing general methods that do not take advantage of traffic patterns and data center network characteristics. Expand
Energy proportional datacenter networks
TLDR
It is demonstrated that energy proportional datacenter communication is indeed possible and that there is a significant power advantage to having independent control of each unidirectional channel comprising a network link. Expand
GreenTE: Power-aware traffic engineering
TLDR
This paper proposes an intra-domain traffic engineering mechanism, GreenTE, which maximizes the number of links that can be put into sleep under given performance constraints such as link utilization and packet delay. Expand
A scalable, commodity data center network architecture
TLDR
This paper shows how to leverage largely commodity Ethernet switches to support the full aggregate bandwidth of clusters consisting of tens of thousands of elements and argues that appropriately architected and interconnected commodity switches may deliver more performance at less cost than available from today's higher-end solutions. Expand
Energy proportionality of an enterprise network
TLDR
This work describes Urja, the system that is built, that collects required configurations from a wide variety of deployed switches and uses them to accurately predict the power consumed by individual devices and the network as a whole, and presents various configuration and rewiring changes that network administrators can perform. Expand
Greening backbone networks: reducing energy consumption by shutting off cables in bundled links
TLDR
This paper exploits the fact that many links in core networks are actually 'bundles' of multiple physical cables and line cards that can be shut down independently, and proposes several heuristics based on linear optimization techniques that reduce energy consumption by 79% on Abilene under realistic traffic loads and bundled links consisting of five cables. Expand
VL2: a scalable and flexible data center network
TLDR
VL2 is a practical network architecture that scales to support huge data centers with uniform high capacity between servers, performance isolation between services, and Ethernet layer-2 semantics, and is built on a working prototype. Expand
Optimizing Long-Lived CloudNets with Migrations
TLDR
It turns out that optimizing CloudNets over moderate sized infrastructures is feasible, even for scenarios with high flexibility and without tuning the solver software to speed up computations further. Expand
...
1
2
3
...