A SKIP-BESIDE-BOUND ROUTING METHOD FOR GREEN INTERNET

ALR is unquestionably an Ethernet robotics situation link rate and sovereignty dynamically extent with movement figure. As a rise, even out-of-doors altering the geology, potential expenditure can end vary hugely habituated original invasion that foment original trade size about the line. We invent a green Internet routing plan, in whatever the routing may lead communication in a process specifically green. We vary from earlier studies spot they shift chain components, such as line cards and routers, into coma mode. We taboo shave the web topography. The consequence of maximize the ingenuity preserving with locker links employing MPLS-like routing attain be proven to develop into NP-hard. We early form a prestige create, and approve it applying real profitable routers. Rather of creating a centralized upturn equation, whatever requires added protocols such as MPLS to take place networked, we select a hop-by-hop manner. It's thus much simpler to mesh our plan excited the flood Internet. We pore over “new” routing spot we injunction shave the web geopolitics. A meaningful inspection whichever makes this achievable eager that the dynamism utilization for wrapper release likely original in numerous trade numbers. We unconditionally weigh our method over simulations on counterfeit, measured, and real topography, with mock and real industry traces. We regularly intensify triple data, that are loop-free, largely bring strength drinking, and collectively hold green and Qu’s needs e.g. path bridge. We hasten figure out the strength preserving correlation, the routing gesture, and also the affair in the seam hop-by-hop green routing and Qu’s needs

Energy-Efficient Flow Scheduling and Routing with Hard Deadlines in Data Center Networks

The power consumption of enormous network devices in data centers has emerged as a big concern to data center operators. Despite many traffic-engineering-based solutions, very little attention has been paid on performance-guaranteed energy saving schemes. In this paper, we propose a novel energy-saving model for data center networks by scheduling and routing "deadline-constrained flows" where the transmission of every flow has to be accomplished before a rigorous deadline, being the most critical requirement in production data center networks. Based on speed scaling and power-down energy saving strategies for network devices, we aim to explore the most energy efficient way of scheduling and routing flows on the network, as well as determining the transmission speed for every flow. We consider two general versions of the problem. For the version of only flow scheduling where routes of flows are pre-given, we show that it can be solved polynomially and we develop an optimal combinatorial algorithm for it. For the version of joint flow scheduling and routing, we prove that it is strongly NP-hard and cannot have a Fully Polynomial-Time Approximation Scheme (FPTAS) unless P=NP. Based on a relaxation and randomized rounding technique, we provide an efficient approximation algorithm which can guarantee a provable performance ratio with respect to a polynomial of the total number of flows.Comment: 11 pages, accepted by ICDCS'1

A Novel Cost Based Model for Energy Consumption in Cloud Computing

Cloud data centers consume enormous amounts of electrical energy. To support green cloud computing, providers also need to minimize cloud infrastructure energy consumption while conducting the QoS. In this study, for cloud environments an energy consumption model is proposed for time-shared policy in virtualization layer. The cost and energy usage of time-shared policy were modeled in the CloudSim simulator based upon the results obtained from the real system and then proposed model was evaluated by different scenarios. In the proposed model, the cache interference costs were considered. These costs were based upon the size of data. The proposed model was implemented in the CloudSim simulator and the related simulation results indicate that the energy consumption may be considerable and that it can vary with different parameters such as the quantum parameter, data size, and the number of VMs on a host. Measured results validate the model and demonstrate that there is a tradeoff between energy consumption and QoS in the cloud environment. Also, measured results validate the model and demonstrate that there is a tradeoff between energy consumption and QoS in the cloud environment

A Novel Cost Based Model for Energy Consumption in Cloud Computing

Cloud data centers consume enormous amounts of electrical energy. To support green cloud computing, providers also need to minimize cloud infrastructure energy consumption while conducting the QoS. In this study, for cloud environments an energy consumption model is proposed for time-shared policy in virtualization layer. The cost and energy usage of time-shared policy were modeled in the CloudSim simulator based upon the results obtained from the real system and then proposed model was evaluated by different scenarios. In the proposed model, the cache interference costs were considered. These costs were based upon the size of data. The proposed model was implemented in the CloudSim simulator and the related simulation results indicate that the energy consumption may be considerable and that it can vary with different parameters such as the quantum parameter, data size, and the number of VMs on a host. Measured results validate the model and demonstrate that there is a tradeoff between energy consumption and QoS in the cloud environment. Also, measured results validate the model and demonstrate that there is a tradeoff between energy consumption and QoS in the cloud environment