標(biāo)題: Titlebook: Evolutionary Based Solutions for Green Computing; Samee Ullah Khan,Joanna Ko?odziej,Albert Y. Zomaya Book 2013 Springer-Verlag Berlin Heid [打印本頁] 作者: CILIA 時間: 2025-3-21 17:10
書目名稱Evolutionary Based Solutions for Green Computing影響因子(影響力)
書目名稱Evolutionary Based Solutions for Green Computing影響因子(影響力)學(xué)科排名
書目名稱Evolutionary Based Solutions for Green Computing網(wǎng)絡(luò)公開度
書目名稱Evolutionary Based Solutions for Green Computing網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Evolutionary Based Solutions for Green Computing被引頻次
書目名稱Evolutionary Based Solutions for Green Computing被引頻次學(xué)科排名
書目名稱Evolutionary Based Solutions for Green Computing年度引用
書目名稱Evolutionary Based Solutions for Green Computing年度引用學(xué)科排名
書目名稱Evolutionary Based Solutions for Green Computing讀者反饋
書目名稱Evolutionary Based Solutions for Green Computing讀者反饋學(xué)科排名
作者: Heresy 時間: 2025-3-21 20:24 作者: 爭論 時間: 2025-3-22 03:32
A Non-linear Theory of the Cycle,rtant services such as smart health, energy efficient cloud computing, and smart grids. Ensuring their .., which includes energy efficiency, thermal safety, and long term uninterrupted operation increases the scalability and sustainability of these infrastructures. Achieving this goal often requires作者: CRUE 時間: 2025-3-22 04:42 作者: JOT 時間: 2025-3-22 08:46
On a Policy Framework for Indian Agriculturel models of the power consumption of a server in distributed systems. We first classify distributed applications of information systems into three types: computation (CP), communication (CM), and storage (ST) types of applications. We first measure at macro level the power consumption of a whole ser作者: FEMUR 時間: 2025-3-22 13:35
Howard Levene,Lee Ehrman,Rollin Richmond issues that leads to the improvement of the system scalability and requires researchers to harness an understanding of the interactions between the system external users and the internal service and resource providers. Modeling these interactions can be computationally challenging especially in the作者: FEMUR 時間: 2025-3-22 20:11
Essays in Experimental Psychologytask execution time with energy consumption constraint. This chapter focuses on the later challenge. It is very important to efficiently schedule tasks in mobile devices and sensor networks that have limited power. The goal is to cooperatively complete a set of tasks among diverse computing resource作者: 越自我 時間: 2025-3-22 21:22 作者: 庇護(hù) 時間: 2025-3-23 04:10 作者: Barrister 時間: 2025-3-23 08:39 作者: conspicuous 時間: 2025-3-23 09:50
https://doi.org/10.1007/978-3-642-30659-4Computational Intelligence; Evolutionary Computing; Green Computing; Green IT作者: 狂熱文化 時間: 2025-3-23 16:22
Samee Ullah Khan,Joanna Ko?odziej,Albert Y. ZomayaComprehensive summarization of the development for evolutionary computing based green computing solutions.Complete coverage from basic theory, methodologies, to real-world applications.Outlines develo作者: 配置 時間: 2025-3-23 20:27 作者: 冒失 時間: 2025-3-23 22:19
Evolutionary Green Computing Solutions for Distributed Cyber Physical Systems,rtant services such as smart health, energy efficient cloud computing, and smart grids. Ensuring their .., which includes energy efficiency, thermal safety, and long term uninterrupted operation increases the scalability and sustainability of these infrastructures. Achieving this goal often requires作者: Employee 時間: 2025-3-24 05:35
Energy-Aware Provisioning of HPC Services through Virtualised Web Services,controlled yet open way. The provision of services under such paradigms usually requires a specialised environment and knowledge base and tools. In particular, in HPC (High Performance Computing) environments, a detailed knowledge of the available systems and of their behaviour and performances is o作者: ALIBI 時間: 2025-3-24 07:21 作者: 運動性 時間: 2025-3-24 11:15 作者: 盟軍 時間: 2025-3-24 17:05
Power Consumption Constrained Task Scheduling Using Enhanced Genetic Algorithms,task execution time with energy consumption constraint. This chapter focuses on the later challenge. It is very important to efficiently schedule tasks in mobile devices and sensor networks that have limited power. The goal is to cooperatively complete a set of tasks among diverse computing resource作者: 投射 時間: 2025-3-24 20:00
Thermal Management in Many Core Systems,high operational and cooling costs, and reliability deterioration leading to system failures. Many-core systems bring exciting opportunities in design and system management owing to the ample hardware parallelism, while introducing novel challenges due to their complexity and the highly variant work作者: FOLLY 時間: 2025-3-25 01:40 作者: Abutment 時間: 2025-3-25 05:14
,Exploiting Multi–Objective Evolutionary Algorithms for Designing Energy–Efficient Solutions to Dataenhouse gas emissions. Indeed, WSNs have already been successfully employed in applications such as intelligent buildings, smart grids and energy control systems, transportation and logistics, and precision agriculture. All these applications generally require the exchange of a large amount of data 作者: Commonwealth 時間: 2025-3-25 09:30
Evolutionary Green Computing Solutions for Distributed Cyber Physical Systems,and with compelling performance compared to heuristics in many domains. In this chapter we review several EA solutions for green DCPSs.We introduce three representative DCPS examples including Data Centers (DCs), Wireless Sensor Networks (WSNs), and Body Sensor Networks (BSN) and discuss several gre作者: RAG 時間: 2025-3-25 12:05 作者: Oligarchy 時間: 2025-3-25 19:31 作者: synovial-joint 時間: 2025-3-25 20:54 作者: 涂掉 時間: 2025-3-26 03:27 作者: 治愈 時間: 2025-3-26 06:03
,Exploiting Multi–Objective Evolutionary Algorithms for Designing Energy–Efficient Solutions to Dataloration of node localization techniques aimed at estimating the positions of all sensor nodes of a WSN from the knowledge of the exact locations of a restricted number of these nodes, have attracted a large interest in the last years. In this chapter, we discuss how multi–objective evolutionary alg作者: 吵鬧 時間: 2025-3-26 08:39 作者: 為現(xiàn)場 時間: 2025-3-26 16:23
1860-949X total cost of operation is minimized) of their respective large-scale computing systems and simultaneously improve upon or maintain the current throughput of the system.?.This book in its eight chapters, addre978-3-642-43066-4978-3-642-30659-4Series ISSN 1860-949X Series E-ISSN 1860-9503 作者: Conflagration 時間: 2025-3-26 18:54
A Non-linear Theory of the Cycle,and with compelling performance compared to heuristics in many domains. In this chapter we review several EA solutions for green DCPSs.We introduce three representative DCPS examples including Data Centers (DCs), Wireless Sensor Networks (WSNs), and Body Sensor Networks (BSN) and discuss several gre作者: 不確定 時間: 2025-3-26 21:43 作者: 光明正大 時間: 2025-3-27 04:33 作者: 解脫 時間: 2025-3-27 08:10
https://doi.org/10.1007/978-1-4612-2648-2r many-core systems. We will elucidate the following questions in detail: What are the specific design challenges in monitoring the temperature of large-scale systems? How can we exploit the multi-level optimizations at runtime in response to the dynamic behavior of the processor’s workload? How do 作者: DRAFT 時間: 2025-3-27 09:43
https://doi.org/10.1007/978-1-4613-9586-7 the wireless links as well as the wireline links is presented. This chapter showcases the achievable performance benefits of the wireless NoC architectures while still maintaining acceptable robustness to transient errors.作者: Moderate 時間: 2025-3-27 17:05 作者: visual-cortex 時間: 2025-3-27 18:32 作者: 粘土 時間: 2025-3-28 01:53 作者: 音樂戲劇 時間: 2025-3-28 05:56 作者: Dendritic-Cells 時間: 2025-3-28 08:12
Energy and Security Awareness in Evolutionary-Driven Grid Scheduling,rios. Each physical resource in the system is equipped with Dynamic Voltage Scaling (DVS) module for optimizing the cumulative power energy utilized by the system. The effectiveness of six genetic-based single- and multi-population grid schedulers has been justified in comprehensive empirical analysis.作者: 小淡水魚 時間: 2025-3-28 10:27
Essays in Experimental Psychologys with given energy. Traditional scheduling algorithms, such as list scheduling, are not very efficient for this scheduling problem. Linear programming optimization method does not fit well since it is a non-linear problem. An enhanced genetic algorithm can solve this problem effectively.作者: 現(xiàn)實 時間: 2025-3-28 14:47
Power Consumption Constrained Task Scheduling Using Enhanced Genetic Algorithms,s with given energy. Traditional scheduling algorithms, such as list scheduling, are not very efficient for this scheduling problem. Linear programming optimization method does not fit well since it is a non-linear problem. An enhanced genetic algorithm can solve this problem effectively.作者: COMA 時間: 2025-3-28 22:26 作者: 感情脆弱 時間: 2025-3-28 23:04
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