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We describe a scheduler for multiple servers shared among different packet-flows, where each packet-flow may be served by only a subset of available (preferred) servers. The scheduler allocates tokens to flows in a round-by-round manner, where token allocation to flows at the beginning of each round is weighted max-min fair. We present a packet scheduling scheme where when a server becomes free, it...
The massive growth in the field of mobile computing and communications paved way to another perception of grid computing called as mobile grid computing. Resource management is one of the key concerns in the effective utilization of mobile grid concept. In this work, a hybrid Artificial Bee Colony (ABC) using modified Heterogeneous Earliest Finish Time (HEFT) based clustering along with min-min algorithm...
Long Term Evolution (LTE) is the standard developed by the 3rd Generation Partnership Project (3GPP) to address the ITU's 4G requirements. For the first time, we have technology convergence in a generation of cellular communication systems. LTE promises data transmission of about 100 Mbps and its advanced version (LTE-A) goes even further with more than 1 Gbps in the downlink channel. Such very high...
Nowadays, we live in a digital world producing data at an impressive speed: data are large, change quickly, and are often too complex to be processed by existing tools. The problem is to extract knowledge from all these data in an efficient way. MapReduce is a data parallel programming model for clusters of commodity machines that was created to address this problem. In this paper we provide an overview...
In this paper, we propose a fair allocation scheduling algorithm using linear programming, where resource allocation is a function of dynamic queue-sizes of heterogeneous traffic classes and delays of the projected traffic categories. The delay is managed in a manner that the delay-sensitive traffic will be given priority over the delay-tolerant traffic, while still meeting the delay bound and maximum...
In this paper, we consider the problem of energy-efficient resource and power allocation in the uplink of multiuser multi-channel Orthogonal Frequency Division Multiplexing (OFDM) based systems subject to constraints on user equipment (UE) transmit power. This problem is non-deterministic polynomial-time hard and an optimum solution for a system with U users and N resource units requires a complexity...
We investigate the problem of scheduling precedence constrained applications on a distributed heterogeneous computing system with the aim of minimizing schedule length and reducing energy consumption. We present a scheduling algorithm based on the best-effort idea that promotes local search algorithms and dynamic voltage scaling to reduce energy consumption. The final goal is to maintain a given performance...
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