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Due to their lower complexity that make them affordable for practical applications, suboptimal MIMO-OFDMA downlink resource allocation (RA) algorithms have attracted significant attention. In this paper, a novel suboptimal RA algorithm is introduced and shown to achieve higher efficiency performance in comparison with other existing techniques. RA algorithms that are robust against CSIT imperfections,...
Recent developments in the field of parallel and distributed computing have led to a proliferation in solving large and computationally intensive mathematical, science, or engineering problems, which consist of several parallelizable parts and several non-parallelizable (sequential) parts. However, such computational environments are often prone to unpredictable variations due to problem, algorithm,...
In this work we consider the optimal design of interconnection links for an interdependent system of networks. In contrast to existing literature, we explicitly exploit the information of intra- layer node degrees to design more robust interdependency structure against cascading failures triggered by random attacks. Built on solid mathematical models, we characterize the optimal design for the one-to-one...
In wireless location-aware networks, mobile nodes (agents) typically obtain their positions using the range measurements to the nodes with known positions. Transmit power allocation not only affects network lifetime and throughput, but also determines localization accuracy. In this paper, we present an optimization framework for robust power allocation in network localization with imperfect knowledge...
In LTE system, it is difficult for an eNB to properly allocate uplink resource blocks (RBs) to UEs as many factors complicate the issue. So far, most research has focused on maximizing system throughput. However, this is often achieved by downgrading other performance metrics and may result in the waste of resources. In this paper, a resource allocation scheme for LTE uplink is proposed which takes...
Assessing and improving the level of system robustness with respect to soft errors has become one of the main design challenges, especially when designing critical embedded systems. In systems using microprocessors (e.g. most of SoCs) the system dependability is strongly correlated with the variable lifetimes. In this paper, we discuss the impact of compilation optimizations on the lifetimes in both...
Efficient management of last level caches (LLCs) plays an important role in bridging the performance gap between processor cores and main memory. This paper is motivated by two key observations, based on our study of LLCs: 1) the capacity demand is highly non-uniform and dynamic at the set level, and 2) neither spatial nor temporal LLC management schemes, working separately as in prior work, can consistently...
We study the problem of efficiently allocating incoming independent tasks onto the resources of a Grid system. Typically, it is assumed that the estimated time to compute each task on every machine is known. We are making the same assumption in this work, but we allow the existence of inaccuracies in these values. Our schedule will be robust versus such inaccuracies, ensuring that even when the estimated...
Grid systems are developed in very dynamic and heterogeneous environments, characterized by an high level of unpredictability. Some system performance, in fact, may vary due to sudden failures or to the occurrence of circumstances unforeseeable deterministically (e.g. failure of the machines, load higher than the expected and inaccuracy in the estimation of parameters). The presence of a robust scheduling...
Dynamic Loop Scheduling (DLS) algorithms are a powerful approach towards improving the performance of scientific applications via load balancing. The adaptive DLS (ADLS) methods have been proven to be the most appropriate for effectively balancing such applications, due to the fact that they are designed to address highly irregular, stochastic behavior caused by algorithmic and systemic variations...
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