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This work proposes a parallel cloud-to-cloud data transfer method in which intermediate nodes are spawned and utilized in order to increase the transfer throughput by aggregating bandwidth. Existing data transfer methods do not take advantage of public cloud elasticity — the maximum throughput is limited by the available bandwidth of the source or/and destination transfer node. In this paper, a technique...
Smart Cloud resource management has gained much research interest in recent years. Optimized resource allocation is necessary while moving from existing computing infrastructure to smart cloud infrastructure. This will allow cloud service providers to get more benefits out of what they already have, increasing capacity and efficiency of existing cloud infrastructure. Optimal Virtual Machine (VM) allocation...
In multi-tenant shared clouds, applications of different tenants compete for the shared network and thus suffer significant unpredictability of performance. The progress is an essential metric to measure the overall data transfer rate of a tenant and to indicate how fast a tenant can complete data transfer. Most previous work of network allocation or schedule focus on achieving the tradeoff among...
When running data intensive scientific workflow in multiple data centers environment, it is inevitable that massive data movement will be caused. The emergence of cloud computing technologies offers a new way to develop scientific workflow systems, and using dataset replicas to reduce data transfer among data centers is an import issue. In this paper, we propose a group based genetic algorithm which...
The specialists know that the Servers are not equal speeds as it depends on several factors Such as processor speed, bandwidth, congestion. … etc. This means that if we use multiple Servers for the purpose of downloading some files there will be a problem that is the swift Server waits lazy one to complete its task. In this work, adoption new strategy for transformation files, called “Minimizing replica...
Cloud storage services, like S3, has drawn increasing popularity as primary data storage repository for users and enterprises because data can be conveniently accessed and shared through simplified web service based interface. However, users still desire the full use of the performance and capacity of their purchased storage resources, and to retain the POSIX I/O interface for accommodating general...
Cloud computing technology is rapidly emerging as quite an efficient execution platform for even highly trusted scientific applications. Efficient resource management plays a pivotal role in the execution along with attaining high performance standards in Distributed environments. Resource provisioning and scheduling has become an important area of research in cloud resource management. Clouds can...
In recent years, virtualization is playing an increasingly important role in the cloud environment, as it allows service providers to create an abstraction of the physical servers running on data centers. In this way services can be directly hosted on these abstract entities, which are then called Virtual Machines (VMs). The direct result of service virtualization is the ability to move services hosted...
Cloud computing gives beneficial services to share large scale of information, storage resources, computing resources, and knowledge for research. Cloud users deploy their own applications and related data on a pay-as-you-go basis. virtual machines (VMs) usually host these data-intensive applications. The performance of these applications often depends on workload types I/O data-intensive or I/O computation,...
Replication of a popular file and storing its replica in the locations closer to the clients who are making requests is the best choice to reduce the execution time. Although replication helps in increasing availability, the question of how to decide an optimal replication number and correct locations to place the replicas are open challenges. In this paper, a brief survey on various data center selection...
The tremendous parallel computing ability of Cloud computing as a new service provisioning paradigm encourages investigators to research its drawbacks and advantages on processing large-scale scientific applications such as workflows. The current Cloud market is composed of numerous diverse Cloud providers and workflow scheduling is one of the biggest challenges on Multi-Clouds. However, the existing...
The global deployment of cloud datacenters is enabling large web services to deliver fast response to users worldwide. This unprecedented geographical distribution of the computation also brings new challenges related to the efficient data management across sites. High throughput, low latencies, cost-or energy-related trade-offs are just a few concerns for both cloud providers and users when it comes...
Infrastructure clouds revolutionized the way in which we approach resource procurement by providing an easy way to lease compute and storage resources on short notice, for a short amount of time, and on a pay-as-you-go basis. This new opportunity, however, introduces new performance trade-offs. Making the right choices in leveraging different types of storage available in the cloud is particularly...
As a key technique in cloud computing, live virtual machine (VM) migration makes cloud computing elastic and renders more efficient resource scheduling. In many cases, live storage migration is also desirable. Compared to live VM migration, however, live storage migration is relatively slow. The speed gap between live VM migration and live storage migration may lead to poor Quality of Service (QoS)...
TCP Noordwijk manages very efficiently Internet traffic when a satellite link is included in the path. The improvement of the bandwidth estimator can further increase performance, especially in presence of competing traffic using other TCP protocols, and the exploitation of innovative service paradigms, first of all, cloud computing. In this respect, a meaningful increase of data transfers with different...
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