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This paper is a broad introduction to the resource allocation problems in cloud systems including Inter-Clouds and Mobile Clouds as well as proposed solutions to these problems. Allocation of computing and network resources to cloud tasks requires innovative approaches in each case of cloud data centers, Inter-Clouds and geographically distributed clouds in order to optimize various performance criteria,...
Allocating bandwidth to maximize service flows with fair treatment of all the services is a key issue in network dimensioning. In such applications, the so-called Max-Min Fairness (MMF) solution concept is widely used. It is based on the worst service performance maximization with additional regularization by the lexicographic maximization of the second worst performance, the third one etc. The basic...
We consider the problem of running a large amount of independent equal-sized tasks in the cloud with a budget constraint. We model the cloud infrastructure by a node-weighted edge-weighted star-shaped graph which captures the different computing power and communication capacity of the computing resources in the cloud. Instead of trying to minimize the make span or the total-completion-time of the...
We consider the problem of allocating a large number of independent, equal-sized tasks to a heterogeneous large scale computing platform. We model the platform using a set of servers (masters) that initially hold (or generate) the tasks to be processed by a set of clients (slaves). All resources have different speeds of communication and computation and we model contentions using the bounded multi-port...
This paper presents a new preemption-aware quality of service (QoS) routing algorithm for instantaneous request (IR) call connections in a QoS-enabled network where resources are shared between IR and book-ahead (BA) call connections. BA reservation, which confirms the availability of resources in advance, is a highly attractive technique for time sensitive applications that require high amount of...
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