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—In this paper, we introduce a framework for designing energy efficient cloud computing services over non-bypass IP/WDM core networks. We investigate network related factors including the centralization versus distribution of clouds and the impact of demand, content popularity and access frequency on the clouds placement, and cloud capability factors(More)
In this paper, we optimize core networks to minimize the embodied energy and the operational energy and introduce two measures for energy minimization in core content distribution networks: data compression in optical networks and locality in P2P networks. We investigate the impact of taking the embodied energy of network devices into account in the(More)
Classically the data produced by Big Data applications is transferred through the access and core networks to be processed in data centers where the resulting data is stored. In this work we investigate improving the energy efficiency of transporting Big Data by processing the data in processing nodes of limited processing and storage capacity along its(More)
— This paper summarizes the energy efficiency improvement obtained by implementing a number of techniques in the core network investigated by the GreenTouch consortium. These techniques include the use of improved components with lower power consumption, mixed line rates (MLR), energy efficient routing, sleep and physical topology optimization. We consider(More)
In this paper, we introduce a Mixed Integer Linear Programming (MILP) model to design an energy efficient cloud computing platform for Internet of Things (IoT) networks. In our model, the IoT network consisted of four layers. The first (lowest) layer consisted of IoT devices, e.g. temperature sensors. The networking elements (relays, coordinators and(More)
In previous work, we investigated the optimization of physical topology design so that the total operational and embodied energy is minimized under normal operation. However, the loss of any link, through for example a fiber cut or the loss of a node, may result in a higher energy consumption as the traffic will be re-routed over the remaining links of the(More)
With the dawn of cloud computing, data centers' power consumption has received increased attention. In this paper we evaluate the energy efficiency potential of exploiting the concept of Disaggregated Server (DS) design in data centers for efficient resource provisioning. A DS, is a new approach for future racks where servers are disaggregated and(More)
Tremendous volumes generated by big data applications are starting to overwhelm data centers and networks. Traditional research efforts have determined how to process these vast volumes of data inside datacenters. Nevertheless, slight attention has addressed the increase in power consumption resulting from transferring these gigantic volumes of data from(More)