Green cloud computing schemes based on networks: a survey

Xiong, Naixue; Han, Wenlin; Vandenberg, Art

doi:10.1049/iet-com.2011.0293

Cited by 65 publications

(38 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This structure consists of multiple clusters. Each cluster includes one cluster head (CH) and a limited number of cluster members [39,40,41]. The CH s and cluster members are all regular MH s .…”

Section: Ad Hoc Network Structure and Hybrid Checkpointing Modelmentioning

confidence: 99%

Design and Analysis of an Efficient Energy Algorithm in Wireless Social Sensor Networks

Xiong

Zhang

et al. 2017

Sensors

View full text Add to dashboard Cite

Because mobile ad hoc networks have characteristics such as lack of center nodes, multi-hop routing and changeable topology, the existing checkpoint technologies for normal mobile networks cannot be applied well to mobile ad hoc networks. Considering the multi-frequency hierarchy structure of ad hoc networks, this paper proposes a hybrid checkpointing strategy which combines the techniques of synchronous checkpointing with asynchronous checkpointing, namely the checkpoints of mobile terminals in the same cluster remain synchronous, and the checkpoints in different clusters remain asynchronous. This strategy could not only avoid cascading rollback among the processes in the same cluster, but also avoid too many message transmissions among the processes in different clusters. What is more, it can reduce the communication delay. In order to assure the consistency of the global states, this paper discusses the correctness criteria of hybrid checkpointing, which includes the criteria of checkpoint taking, rollback recovery and indelibility. Based on the designed Intra-Cluster Checkpoint Dependence Graph and Inter-Cluster Checkpoint Dependence Graph, the elimination rules for different kinds of checkpoints are discussed, and the algorithms for the same cluster checkpoints, different cluster checkpoints, and rollback recovery are also given. Experimental results demonstrate the proposed hybrid checkpointing strategy is a preferable trade-off method, which not only synthetically takes all kinds of resource constraints of Ad hoc networks into account, but also outperforms the existing schemes in terms of the dependence to cluster heads, the recovery time compared to the pure synchronous, and the pure asynchronous checkpoint advantage.

show abstract

Section: Ad Hoc Network Structure and Hybrid Checkpointing Modelmentioning

confidence: 99%

Design and Analysis of an Efficient Energy Algorithm in Wireless Social Sensor Networks

Xiong

Zhang

et al. 2017

Sensors

View full text Add to dashboard Cite

show abstract

“…With growing applications moved to cloud, more resources need to be deployed and more power are consumed, resulting in more environmental issues and CO2 emissions [5]. With respect to green CC, potential solutions are shown as follows [14], [28], [31][32]. 1) Adoption of hardware and software that decrease energy consumption.…”

Section: Green Cloud Computing (Cc)mentioning

confidence: 99%

Green IoT Agriculture and HealthcareApplication (GAHA)

Nandyala¹,

Kim²

2016

IJSH

View full text Add to dashboard Cite

show abstract

“…(3) The formula (3) shows that increasing the number of normal operating servers can improve the service rate, and it also increases the energy consumption of data centers, so it is important for the system model to choose a reasonable service rate that can reduce the energy consumption of data centers. Establishment of energy profit maximization function.…”

Section: Mathematical Model Based On Energy Efficiency Optimizationmentioning

confidence: 99%

Energy efficient optimization method for green data center based on cloud computing

Wu¹,

Chen²,

Li³

et al. 2016

Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering

View full text Add to dashboard Cite

With the rapid development of cloud computing data centers, the problems of tremendous power consumption has become increasingly prominent, so it is of great practical significance to study the energy efficiency of cloud computing green data center. This paper proposes a mathematical model based on the constraint of QoS which combines benefits and costs, the model takes account some factors including electricity price, renewable power generation, service rate and Qos. Finally clustering algorithm is applied to the data center task scheduling mechanism to reduce data center energy consumption and increase efficiency.

show abstract

Green cloud computing schemes based on networks: a survey

Cited by 65 publications

References 16 publications

Design and Analysis of an Efficient Energy Algorithm in Wireless Social Sensor Networks

Design and Analysis of an Efficient Energy Algorithm in Wireless Social Sensor Networks

Green IoT Agriculture and HealthcareApplication (GAHA)

Energy efficient optimization method for green data center based on cloud computing

Contact Info

Product

Resources

About