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Many of the applications running in cloud data center are data intensive, processing large amount of data inside the data center. File replication, which brings data files closer to the computing virtual machines (VMs), is an effective strategy that reduces data access latencies and bandwidth consumption, thus saving energy in data centers. In this paper, we formulate and study the file replication...
The energy consumed by the networking resources to access the computational and storage resources is one of the factors to be considered in the cloud data center. In SDN, the network virtualization showcases the business in the network resource allocation when traffic is generated from the source host to the destination host. The network switches in the cloud based data centric network acquire the...
Mobile users run complex applications increasingly, requiring much more computing power and energy. Cloud-enhanced small cell networks, endowing small cells with cloud computing abilities, extend mobile devices capabilities and battery lifetime by providing them with the advantages of instant and high-rate access to the cloud servers. However, conventional offloading policy can not fully exploit these...
To improve their profits, it is crucial for cloud service providers to fulfil their tenants target QoS requirements in an energy efficient way. The services provided in many modern public clouds have graduated to include more sophisticated and flexible virtual clusters, encompassing not only the resource requirement of the virtual machines (VMs) but also the virtual topology between VMs. In this paper,...
Minimizing energy consumption and improving performance in data centers are critical to cost-saving for cloud operators, but traditionally, these two optimization objectives are treated separately. Therefore, this paper presents an unified solution combining two strategies, flow migration and VM migration, to maximize throughput and minimize energy, simultaneously. Traffic-aware flow migration (FM)...
The fast growth of cloud computing has attracted more companies to migrate their in-house IT applications into cloud and it also occurs in the medical field. A mobile healthcare system with cloud offloading is considered in this paper and it can be divided into two stages: sensor network and cloud offloading. In the first stage, information collected by body sensors should be transmitted to a remote...
In this paper, we investigate the scheduling policy for collaborative execution in mobile cloud computing. A mobile application is represented by a sequence of fine-grained tasks formulating a linear topology, and each of them is executed either on the mobile device or offloaded onto the cloud side for execution. The design objective is to minimize the energy consumed by the mobile device, while meeting...
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