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We present the lowest-path cost to destination scheme for identification of the most suitable node for data caching. The scheme identifies the network node that yields the lowest-cost path for delivering data to demanding users. This scheme is applied to information centric networks (ICN) that consider two different data consumption modes: frequently and sporadically. We consider the use of Software-Defined...
In this paper, we evaluate the performance of per-packet load balancing in data center networks (DCNs). Throughput and flow completion time are considered among the main metrics to evaluate the performance of the transport of flows over the presence of long flows in a DCN. Load balancing in a DCN may benefit those performance metrics but also it may generate out-of-order packet delivery. We investigate...
In this paper, we propose a framework for speeding the evacuation time of occupants in a building during an earthquake. The framework is based on the information collected from a sensor network, an algorithm to calculate evacuation routes, and dissemination of route information to occupants. The sensor network is used to determine the state of whether areas and spaces are transitable or blocked. State...
In this paper, we survey different existing schemes for the transmission of flows in Data Center Networks (DCNs). The transport of flows in DCNs must cope with the bandwidth demands of the traffic that a large number of data center applications generates and achieve high utilization of the data center infrastructure to make the data center financially viable. Traffic in DCNs roughly comprises short...
In this paper, we propose the most efficient server first (MESF) task scheduling scheme to minimize the energy consumed by data-center servers. MESF allocates and schedules tasks to servers according to the energy profile of servers. Energy consumed by data-center servers constitutes the largest portion of the total data-center energy consumption. The proposed MESF scheme uses resource allocation...
We propose a scheme to schedule the transmission of data center traffic to guarantee a transmission rate for long flows without affecting the rapid transmission required by short flows. We call the proposed scheme Deadline-Aware Queue (DAQ). The traffic of a data center can be broadly classified into long and short flows, where the terms long and short refer to the amount of data to be transmitted...
In this paper, we propose Peer VMs Aggregation (PVA) to enable dynamic discovery of communication patterns and reschedule VMs based on the determined communication patterns using VM migration. In the implementation, we consider that communication delays occur at the server (i.e., memory-bus) and at the data center network. To evaluate our approach, we modeled a network and a memory subsystem on CloudSim...
Electrical power supply of data centers constitutes major operational costs. In this paper, we focus on providing the supplying energy to exact match the consumption demands by using the properties of a digital power grid. Different from the present power grid, where energy is supplied continuously and in amounts to satisfy large demands, the digital power grid supplies energy in the form of packets...
Energy consumption of cloud data centers accounts for a major operational cost. This paper presents an optimization model for task scheduling to minimize task processing time and energy consumption in data centers for cloud computing. We formulate an integer programming optimization problem to minimize the expected energy consumption of homogenous tasks in a data center with a large number of servers...
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