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In this paper we consider the data caching problem in next generation data services in the cloud, which is characterized by using monetary cost and access trajectory information to control cache replacements, instead of exploiting capacityoriented strategies as in traditional research. In particular, given a stream of requests to a shared data item with respect to a homogeneous cost model, we first...
In this paper, we study the problem of co-migrating a set of service replicas residing on one or more redundant virtual servers in clouds in order to satisfy a sequence of mobile batch-request demands in a cost effective way. With such a migration, we can not only reduce the service access latency for end users but also minimize the network costs for service providers. The co-migration can be achieved...
In this paper, we study the problem of dynamically migrating a service in Clouds to satisfy a sequence of mobile batch-request demands in a cost effective way. The service may have a single or multiple replicas, each running on a virtual machine. As the origins of the mobile accesses are frequently changed over time, this problem is particularly important to those time-bounded services to achieve...
In this paper, we design and develop time-efficient algorithms that identify vantage locations to stage a shared data item for the ease of mobile accesses. As mobile users will be charged on the use of communication bandwidth as well as on the fraction of the time the storage resources are kept busy on their respective data, we aim to provide such access for a class of mobile users using Cloud services...
With the advent of high bandwidth third-generation mobile networks and other wireless networks, grid computing has migrated from traditional parallel and distributed computing to pervasive and utility computing based on the wireless networks and mobile devices, which results in the emergence of a new computing paradigm named mobile grid. Data replication is widely used in mobile grid environments...
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