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Although cloud computing greatly utilises virtualised environments for applications to be executed efficiently in low-cost hosting, it has turned energy wasting and overconsumption issues into major concerns. Cloud infrastructure is built on a great amount of server equipment, including high performance computing (HPC), and the servers are naturally prone to failures.In this paper, we report on an...
Wireless Mesh Networks (WMNs) are gaining popularity due to the features provided, especially the low cost and self-configuration ability. In WMNs, the data traffic is transmitted through intermediate nodes and a number of packets are dropped during the transmission due to various reasons. One significant reason is the limitation of network resources such as bandwidth and buffer size. Because of these...
With the features provided by wireless mesh networks (WMN) and the increasing number of users, the Quality of Service (QoS) has become essential to support multimedia applications. In addition, employing the multichannel approach has led to the improvement of the network performance. However, selecting a path with the maximum available bandwidth to transmit data from the source to the destination...
The increased computational needs in many sectors place huge demands on cloud computing. Power consumption and resource pool capacity are two of the challenges faced by the next generation of high performance computing (HPC). This paper aims at minimising the computing-energy consumption in decentralised multi-cloud systems using Dynamic Voltage and Frequency Scaling (DVFS) when scheduling dependent...
The increased computational needs in many sectors place huge demands on cloud computing. Power consumption and resource pool capacity are two of the challenges faced by the next generation of high performance computing (HPC). This paper aims at minimising the computing-energy consumption in decentralised multi-cloud systems using Dynamic Voltage and Frequency Scaling (DVFS) when scheduling dependent...
Mobile sinks have been used recently, mainly to minimize energy consumption and to resolve some other issues including data collection from disconnected networks, energy depletion from sensor nodes which are close to the sink, etc. In this paper, we address the problem of finding an optimal path for the mobile sink to traverse through the sensing field, to collect a single packet from each sensor...
Data collection is one of the predominant operations in wireless sensor networks. This paper focuses on the problem of efficient data collection in a setting where some nodes may not possess data each time data is collected. In that case, idle listening slots may occur, which lead to a waste of energy and an increase in latency. To alleviate these problems, successive-slot schedules were proposed...
Scheduling workflows in Grids with the goal of minimizing the completion time is a challenging optimisation problem. Communication times between dependent tasks affect the schedule length only if the tasks are scheduled on different resources, and this makes it difficult to predict the critical path of the scheduled workflow. To address this difficulty, we introduce a new variation of critical path...
Advance reservation can ensure the future availability of the Grid's heterogeneous resources and help a scheduler to produce better schedules. We propose a new resource mapping technique for jobs of a Grid workflow in an advance reservation environment. Using the Dynamic Critical Path for Grid (DCP-G) scheduling algorithm's job selection method, our proposed technique considers the conditional mapping...
We investigate the problem of computing the types of the relationships between Internet Autonomous Systems. We refer to the model introduced by Gao [IEEE/ACM Transactions on Networking, 9(6):733-645, 2001] and Subramanian (IEEE Infocom, 2002) that bases the discovery of such relationships on the analysis of the AS paths extracted from the BGP routing tables. We characterize the time complexity of...
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