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It is well known that load balancing and low delivery communication cost are two critical issues in mapping requests to servers in Content Delivery Networks (CDNs). However, the trade-off between these two performance metrics has not been yet quantitatively investigated in designing efficient request mapping schemes. In this work, we formalize this trade-off through a stochastic optimization problem...
Network Functions Virtualization (NFV) aims to support service providers to deploy various services in a more agile and cost-effective way. However, the softwarization and cloudification of network functions can result in severe congestion and low network performance. In this paper, we propose a solution to address this issue. We analyze and solve the online load balancing problem using multipath...
We address the task of mapping a given textual domain model with the source code of an application which is in the same domain but was developed independently of the domain model. The key novelty of our approach is to use mathematical optimization to find a mapping between the elements in the two sides that maximizes the instances of clusters of related elements on each side being mapped to clusters...
The reduction of cloud computing energy consumption can be related to the application layer management with virtualization services, or a software layer. All clouds demand a power infrastructure with high availability. A data center power system is generally classified according to four redundancy levels, named tier I to IV. This paper proposes a power load distribution algorithm in depth search (PLDA-D)...
In this paper, the interactions between a wireless network carrier and a set of end-users trading data contents that were downloaded proactively are studied. In particular, we investigate the profit maximization problem for wireless network carrier and payment minimization for end-users. Motivated by recent findings on proactive resource allocation, we focus on the scenario whereby end-users harness...
RFID network planning involves many objectives and constraints and it belongs to the class of NP-hard problems. Such problems were recently successfully tackled by nondeterministic optimization metaheuristics where swarm intelligence represents a prominent branch. We present improved firefly algorithm adjusted for multi-objective RFID network planning where our proposed algorithm improved results...
Operating massive data centers, which are required to support large-scale enterprise applications such as web search or media streaming, requires enormous amount of power. However, these data centers are under-utilized due to inherent nature of the enterprise workloads. Unfortunately, power efficiency is traditionally measured only when a server is maximally utilized, and effective techniques to improve...
We consider the problem of dynamic reactive power compensation in power distribution networks populated by a large number of microgeneration devices. We model the power losses minimization problem in the case of stochastic, time-varying reactive power demands. For this control problem, we propose a randomized iterative optimization algorithm, and we define a suitable metric for evaluating this algorithm's...
Resilient routing in transport networks requires the calculation of active paths (APs) and backup paths (BPs) to be used in the event of failures in the corresponding APs. Often it is not possible to ensure full end-to-end protection. Hence an AP is only an admissible solution if a BP can be calculated such that it shares a minimal number of common nodes with the AP. In the absence of node disjoint...
A novel Self Organizing Network (SON) approach is developed which is capable to handle and simultaneously optimize several highly coupled and strongly interacting configuration parameters and effects in modern cellular wireless networks. Fully distributed SON entities located in each cell predict the quality of potential candidate parameter configurations via fast offline calculations without the...
This paper discusses a novel approach for analysis of large scale real time grid operation performance. The PJM Interconnection energy market is one of the largest centralized markets in the world. Recently PJM deployed a newly developed application called “Perfect Dispatch” designed to provide a baseline measure of grid operational performance using retroactive real time market simulation and analysis...
Filter caches have been proposed to decrease the energy consumption on embedded systems. However, the achievement in energy is usually acquired with a loss in performance. This work investigates a novel filter cache architecture that outperforms a traditional one, while maintaining the energy advantages. The performance gain is achieved by only allocating the data with a high reuse potential into...
Recently, numerous job scheduling techniques have been proposed for improving the efficiency of resource sharing in heterogeneous computational grids. However, as we have noticed, some scheduling algorithms, especially those working in batch mode, are likely to be suffered from deficiencies when extended to an non-dedicated grid environment, where the consistency degree of underlying computing environment...
This paper summaries some of the key results achieved in the second phase of a multi-year collaborative load modeling research project. After having identified suitable types of load monitoring devices, actual field data for load model development and validation were collected at appropriate locations for several months to more than a year in three different utilities. This data was post-processed...
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