this paper presents a control strategy for fuel cell/energy storage power generation system during voltage sag conditions. the hybrid dc power sources are connected to grid using power electronic converters include dc-dc converter and grid connected voltage source inverter. the power from hybrid power sources is controlled during voltage sag by designing of control strategy for dc-dc converter....

Hadoop MapReduce framework is an important distributed processing model for large-scale data intensive applications. The current Hadoop and the existing Hadoop distributed file system’s rack-aware data placement strategy in MapReduce in the homogeneous Hadoop cluster assume that each node in a cluster has the same computing capacity and a same workload is assigned to each node. Default Hadoop d...

In this study a mixed integer linear programming (MILP) model is created for the design (i.e. technology selection, unit sizing, unit location, and distribution network structure) of a distributed energy system that meets the electricity and heating demands of a cluster of commercial and residential buildings while minimising annual investment and operating cost. The model is used to analyse th...

Global warming and climate change trends call for urgent action to manage information and communication technologies in a sustainable manner by minimizing energy consumption and utilizing resources more efficiently. Distributed computing environments have become the de facto platforms for many applications. These systems bring a range of heterogeneous resources that should be able to function c...

The problem of mapping tasks onto a computational grid with the aim to minimize the power consumption and the makespan subject to the constraints of deadlines and architectural requirements is considered in this paper. To solve this problem, we propose a solution from cooperative game theory based on the concept of Nash Bargaining Solution. The proposed game theoretical technique is compared ag...

loud-computing-based traffi c has been rapidly growing in recent years. Cisco forecasted that annual global datacenter IP traffi c will reach 7.7 zettabytes by the end of 2017, with its cloud IP traffi c reaching 5.3 zettabytes.1 Correspondingly, the service providers, including Google, Microsoft, Facebook, and AT&T, are building and expanding their datacenters nationwide and worldwide. Such ge...