Academic literature on the topic 'Cloudsim Plus'
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Journal articles on the topic "Cloudsim Plus"
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Kouidri, Siham, and Belabbas Yagoubi. "Dynamic Data Replication Based on Tasks scheduling for Cloud Computing Environment." International Journal of Strategic Information Technology and Applications 8, no. 4 (October 2017): 40–51. http://dx.doi.org/10.4018/ijsita.2017100104.
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Cloud computing provides IT resources (e.g., CPU, memory, network, storage, etc.) based on virtualization concepts and a pay-as-you-go principle. It comprises an accumulation of inter-related plus virtualized calculating resources which are managed by one or more amalgamated calculating resources. With the development of a computerized scientific workflow, the amount of data is increasing exponentially. Workflow scheduling and data replication have been considered the major challenges in cloud computing. Nevertheless, many researchers focus on scheduling or data replication separately. In this article, a combination of workflow scheduling based on the clustering of data and dynamic data replication strategies, has been introduced together and evaluates several performance metrics using a Cloudsim simulator. The aim of this proposed algorithm is to minimize the completion time and transfer time. The performance of this proposed algorithm has been evaluated using the CloudSim toolkit.
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Kenga, Derdus, Vincent Omwenga, and Patrick Ogao. "Virtual Machine Customization Using Resource Using Prediction for Efficient Utilization of Resources in IaaS Public Clouds." Journal of Information Technology and Computer Science 6, no. 2 (September 3, 2021): 170–82. http://dx.doi.org/10.25126/jitecs.202162196.
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The main cause of energy wastage in cloud data centres is the low level of server utilization. Low server utilization is a consequence of allocating more resources than required for running applications. For instance, in Infrastructure as a Service (IaaS) public clouds, cloud service providers (CSPs) deliver computing resources in the form of virtual machines (VMs) templates, which the cloud users have to choose from. More often, inexperienced cloud users tend to choose bigger VMs than their application requirements. To address the problem of inefficient resources utilization, the existing approaches focus on VM allocation and migration, which only leads to physical machine (PM) level optimization. Other approaches use horizontal auto-scaling, which is not a visible solution in the case of IaaS public cloud. In this paper, we propose an approach of customizing user VM’s size to match the resources requirements of their application workloads based on an analysis of real backend traces collected from a VM in a production data centre. In this approach, a VM is given fixed size resources that match applications workload demands and any demand that exceeds the fixed resource allocation is predicted and handled through vertical VM auto-scaling. In this approach, energy consumption by PMs is reduced through efficient resource utilization. Experimental results obtained from a simulation on CloudSim Plus using GWA-T-13 Materna real backend traces shows that data center energy consumption can be reduced via efficient resource utilization
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Alhaidari, Fahd, and Taghreed Zayed Balharith. "Enhanced Round-Robin Algorithm in the Cloud Computing Environment for Optimal Task Scheduling." Computers 10, no. 5 (May 9, 2021): 63. http://dx.doi.org/10.3390/computers10050063.
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Recently, there has been significant growth in the popularity of cloud computing systems. One of the main issues in building cloud computing systems is task scheduling. It plays a critical role in achieving high-level performance and outstanding throughput by having the greatest benefit from the resources. Therefore, enhancing task scheduling algorithms will enhance the QoS, thus leading to more sustainability of cloud computing systems. This paper introduces a novel technique called the dynamic round-robin heuristic algorithm (DRRHA) by utilizing the round-robin algorithm and tuning its time quantum in a dynamic manner based on the mean of the time quantum. Moreover, we applied the remaining burst time of the task as a factor to decide the continuity of executing the task during the current round. The experimental results obtained using the CloudSim Plus tool showed that the DRRHA significantly outperformed the competition in terms of the average waiting time, turnaround time, and response time compared with several studied algorithms, including IRRVQ, dynamic time slice round-robin, improved RR, and SRDQ algorithms.
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Li, Yuling, Xiaoying Wang, Peicong Luo, and Qingyi Pan. "Thermal-Aware Hybrid Workload Management in a Green Datacenter towards Renewable Energy Utilization." Energies 12, no. 8 (April 19, 2019): 1494. http://dx.doi.org/10.3390/en12081494.
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The increase in massive data processing and computing in datacenters in recent years has resulted in the problem of severe energy consumption, which also leads to a significant carbon footprint and a negative impact on the environment. A growing number of IT companies with operating datacenters are adopting renewable energy as part of their energy supply to offset the consumption of brown energy. In this paper, we focused on a green datacenter using hybrid energy supply, leveraged the time flexibility of workloads in the datacenter, and proposed a thermal-aware workload management method to maximize the utilization of renewable energy sources, considering the power consumption of both computing devices and cooling devices at the same time. The critical knob of our approach was workload shifting, which scheduled more delay-tolerant workloads and allocated resources in the datacenter according to the availability of renewable energy supply and the variation of cooling temperature. In order to evaluate the performance of the proposed method, we conducted simulation experiments using the Cloudsim-plus tool. The results demonstrated that the proposed method could effectively reduce the consumption of brown energy while maximizing the utilization of green energy.
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Alcaras, Emanuele, Domenica Costantino, Francesca Guastaferro, Claudio Parente, and Massimiliano Pepe. "Normalized Burn Ratio Plus (NBR+): A New Index for Sentinel-2 Imagery." Remote Sensing 14, no. 7 (April 3, 2022): 1727. http://dx.doi.org/10.3390/rs14071727.
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The monitoring of burned areas can easily be performed using satellite multispectral images: several indices are available in the literature for highlighting the differences between healthy vegetation areas and burned areas, in consideration of their different signatures. However, these indices may have limitations determined, for example, by the presence of clouds or water bodies that produce false alarms. To avoid these inaccuracies and optimize the results, this work proposes a new index for detecting burned areas named Normalized Burn Ratio Plus (NBR+), based on the involvement of Sentinel-2 bands. The efficiency of this index is verified by comparing it with five other existing indices, all applied on an area with a surface of about 500 km2 and covering the north-eastern part of Sicily (Italy). To achieve this aim, both a uni-temporal approach (single date image) and a bi-temporal approach (two date images) are adopted. The maximum likelihood classifier (MLC) is applied to each resulting index map to define the threshold separating burned pixels from non-burned ones. To evaluate the efficiency of the indices, confusion matrices are constructed and compared with each other. The NBR+ shows excellent results, especially because it excludes a large part of the areas incorrectly classified as burned by other indices, despite being clouds or water bodies.
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Sofia, Ulysses J. "Abundances in the Gaseous Galactic Halo." Highlights of Astronomy 11, no. 1 (1998): 86–89. http://dx.doi.org/10.1017/s1539299600020049.
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AbstractThe well measured gas-phase abundances in the low halo suggest that this region of the Galaxy has total (gas plus dust) metal abundances which are close to those in the solar neighborhood. The gas-phase abundances in the halo are generally higher than those seen in the disk, however, this affect is likely due to the destruction of dust in the halo clouds. Observations of high velocity clouds (HVCs) in the halo suggest that these clouds have metal abundances which are substantially lower than those measured for the local interstellar medium. These determinations, however, are often of lower quality than those for the low halo because of uncertainties in the hydrogen abundances along the sightlines, in the incorporation of elements into dust, and in the partial ionization of the clouds.
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Briceño, Cesar, and Nuria Calvet. "The CIDA Schmidt Objective-prism Survey: Fields in Taurus-Auriga and Ophiucus." International Astronomical Union Colloquium 148 (1995): 347–52. http://dx.doi.org/10.1017/s0252921100022168.
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AbstractWe have begun a deep objective prism Hα survey of starforming regions using the CIDA 1 m Schmidt Camera. We report here on the performance of the telescope for this kind of work, based on the study of selected areas in the Taurus-Auriga molecular clouds and the Ophiucus molecular clouds. Up to now seven plates taken in Taurus-Auriga have been visually scanned in a search for pre-main sequence candidates, with a coverage of about 120 square degrees over the whole complex, plus one plate taken in Ophiucus covering the entire cloud (≈ 18 square degrees).
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Patriarchi, P., and M. Perinotto. "Properties of fast winds in hot stars in the Magellanic Clouds." Symposium - International Astronomical Union 148 (1991): 360–62. http://dx.doi.org/10.1017/s0074180900200843.
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We have studied with the SEI method (Sobolev approximation plus Exact Integration of the transfer equation) seven hot stars, five belonging to the Large Magellanic Cloud (LMC) and two to the Small Magellanic Cloud (SMC), which have been observed with IUE in high resolution. We present preliminary results of the work, i.e. the terminal velocities and the optical depth of the P Cygni profile. An evaluation of qiM has been done, as well as a comparison with previous work.
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Kubar, Terence L., Duane E. Waliser, and J.-L. Li. "Boundary Layer and Cloud Structure Controls on Tropical Low Cloud Cover Using A-Train Satellite Data and ECMWF Analyses." Journal of Climate 24, no. 1 (January 1, 2011): 194–215. http://dx.doi.org/10.1175/2010jcli3702.1.
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Abstract The Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO), CloudSat radar, and the Moderate Resolution Imaging Spectroradiometer (MODIS) cloud data on the A-Train constellation complemented with the European Centre for Medium-Range Forecasts (ECMWF) analyses are used to investigate the cloud and boundary layer structure across a 10° wide cross section starting at 5°S near the international date line and extending to 35°N near the California coast from March 2008 to February 2009. The mean large-scale inversion height and low-level cloud tops, which correspond very closely to each other, are very shallow (∼500 m) over cold SSTs and high static stability near California and deepen southwestward (to a maximum of ∼1.5–2.0 km) along the cross section as SSTs rise. Deep convection near the ITCZ occurs at a surface temperature close to 298 K. While the boundary layer relative humidity (RH) is nearly constant where a boundary layer is well defined, it drops sharply near cloud top in stratocumulus regions, corresponding with strong thermal inversions and water vapor decrease, such that the maximum (−∂RH/∂z) marks the boundary layer cloud top very well. The magnitude correlates well with low cloud frequency during March–May (MAM), June–August (JJA), and September–November (SON) (r 2 = 0.85, 0.88, and 0.86, respectively). Also, CALIPSO and MODIS isolated low cloud frequency generally agree quite well, but CloudSat senses only slightly more than one-third of the low clouds as observed by the other sensors, as many clouds are shallower than 1 km and thus cannot be discerned with CloudSat due to contamination from the strong signal from surface clutter. Mean tropospheric ω between 300 and 700 hPa is examined from the ECMWF Year of Tropical Convection (YOTC) analysis dataset, and during JJA and SON, strong rising motion in the middle troposphere is confined to a range of 2-m surface temperatures between 297 and 300 K, consistent with previous studies that show a narrow range of SSTs over which deep ascent occurs. During December–February (DJF), large-scale ascending motion extends to colder SSTs and high boundary layer stability. A slightly different boundary layer stability metric is derived, the difference of moist static energy (MSE) at the middle point of the inversion (or at 700 hPa if no inversion exists) and the surface, referred to as ΔMSE. The utility of ΔMSE is its prediction of isolated uniform low cloud frequency, with very high r 2 values of 0.93 and 0.88, respectively, for the MODIS and joint lidar plus radar product during JJA but significantly lower values during DJF (0.46 and 0.40), with much scatter. To quantify the importance of free tropospheric dynamics in modulating the ΔMSE–low cloud relationships, the frequency as a function of ΔMSE of rising motion profiles (ω < −0.05 Pa s−1) is added to the observed low cloud frequency for a maximum hypothetical low cloud frequency. Doing this greatly reduces the interseasonal differences and holds promise for using ΔMSE for parameterization schemes and examining low cloud feedbacks.
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Fan, Li Hua, Bo Liu, Bao Ling Xie, and Qi Chen. "Automatic Point Clouds Registration Method Based on Mesh Segmentation." Applied Mechanics and Materials 423-426 (September 2013): 2587–90. http://dx.doi.org/10.4028/www.scientific.net/amm.423-426.2587.
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This paper proposes an automatic point clouds registration method based on High-Speed Mesh Segmentation. The proposed method works fast for doing an initial registration and extracting point clouds region feature. First, the features of the point region are used for matching point cloud regions. Second, matched regions sets are classified for calculating transform matrix of initial registration. Based on the initial registration result the Iterative Closest Point (ICP) algorithm which had been used for accuracy registration to composite point cloud pairs will be applied. The proposed registration approach is able to do automatic registration without any assumptions about their initial positions, and avoid the problems of traditional ICP in bad initial estimate. The proposed method plus with ICP algorithm provides an efficient 3D model for computer-aided engineering and computer-aided design.
Dissertations / Theses on the topic "Cloudsim Plus"
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Ващенко, К. А. "Модель планування задач у розподіленому grid-середовищі з використанням віртуалізації." Thesis, Чернігів, 2021. http://ir.stu.cn.ua/123456789/24994.
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Ващенко, К. А. Модель планування задач у розподіленому grid-середовищі з використанням віртуалізації : випускна кваліфікаційна робота : 123 "Комп’ютерна інженерія" / К. А. Ващенко ; керівник роботи О. А. Пріла ; НУ "Чернігівська політехніка", кафедра інформаційних та комп’ютерних систем. – Чернігів, 2021. – 65 с.Об'єкт дослідження – хмарні та розподілені обчислення. Метою кваліфікаційної роботи магістра – дослідження та аналіз алгоритмів розміщення віртуальних машин на хостах та додаткових механізмів підвищення ефективності роботи хмарного середовища. Для створення проекту було використано мову програмування Java. А також такий фреймворк як CloudSim Plus. Розробка проекту відбувалась в Eclipse. Виконання роботи проводилось у відповідності з вимогами, поставленими у технічному завданні. Подальший розвиток проекту можливий в наступних напрямках: ускладнення моделі з додаванням нових параметрів до самої моделі та врахування нових параметрів при розміщенні віртуальних машин. Робота має дослідницьку цінність.
The object of study - cloud and distributed computing. The purpose of the master's qualification work – research and analysis of algorithms for hosting virtual machines on hosts and research additional mechanisms to improve the efficiency of the cloud environment. The Java programming language was used to create the project. And also such framework CloudSim Plus. The project was developed in Eclipse. Execution of work was carried out in accordance with the requirements set in the terms of reference. Further development of the project is possible in the following areas: complicating the model by adding new parameters to the model itself and taking into account new parameters when placing virtual machines. The work has practical value.
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Oliveira, Raysa da Luz. "Alocação de Máquinas Virtuais em Ambientes de Computação em Nuvem Baseada em Requisitos de Service Level Agreement." Master's thesis, 2017. http://hdl.handle.net/10400.6/7839.
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A computação em nuvem teve um avanço considerável nos últimos anos, trazendo grandes
benefícios incluindo escalabilidade, flexibilidade, acessibilidade global, melhor utilização
de recursos e redução de custos, entre outros. Apesar de todos os benefícios,
esta adesão e crescimento trás consigo grandes desafios como otimização do uso de
recursos computacionais, redução de custos, garantia da qualidade de serviço (Quality
of Service (QoS)), segurança, etc. As garantias da qualidade de serviço são estabelecidas
através de Service Level Agreements (SLAs), que são contratos estabelecidos entre
o cliente e o fornecedor do serviço de computação em nuvem, visando especificar de
forma mensurável as metas de nível de serviço a serem cumpridas, além dos papéis
e responsabilidades das partes envolvidas. Este trabalho apresenta um estudo sobre
cumprimento de SLAs por algoritmos de alocação de máquinas virtuais em ambientes
de computação em nuvem. O trabalho tem em consideração métricas como disponibilidade,
custo, tempo de conclusão de uma aplicação (task completion time) e nível de
tolerância a faltas, avaliando o cumprimento de tais métricas em diferentes cenários.
O estudo é realizado utilizando o framework CloudSim Plus para modelação e execução
de simulações de computação em nuvem. São introduzidos dois módulos no framework
visando: (i) especificação de SLAs e templates de máquinas virtuais em formato
JavaScript Object Notation (JSON), seguindo padrões do Amazon Elastic Compute
Cloud (Amazon EC2); (ii) injeção de faltas aleatórias, permitindo avaliar como os SLAs
são afetados perante o surgimento de faltas nos servidores.
Por fim, o trabalho apresenta uma proposta para automação da criação e alocação de
máquinas virtuais, visando cumprir os SLAs e libertar o cliente da necessidade de especificar
a quantidade mínima de máquinas virtuais para atendimento dos níveis de serviço
exigidos. Mesmo com todo o nível de automação que os fornecedores de computação
em nuvem possam oferecer, os resultados obtidos mostram que é possível melhorar a
automação destes serviços, reduzindo a necessidade de intervenção do cliente e as violações
de SLA devido a uma inadequada configuração de máquinas virtuais realizada
pelo cliente.Cloud computing has made considerable progress in recent years, bringing great benefits including scalability, flexibility, global accessibility, improved resource utilization and cost savings, among others. Despite all the benefits, this adhesion and growth carries with it great challenges such as optimization of the use of computational resources, reduction of costs, Quality of Service (QoS) assurance, security, etc. Guarantees are provided through Service Level Agreements (SLAs), which are agreements between the customer and the cloud computing service provider to measurably specify the service level goals to be fulfilled, as well as the roles and responsibilities of the parties involved. This work presents a study on compliance with service level agreements by algorithms for allocating virtual machines in cloud computing environments. The work takes into account metrics such as availability, cost, task completion time and level of fault tolerance, evaluating the compliance of such metrics in different scenarios. The study is conducted using the CloudSim Plus framework for modeling and running cloud computing simulations. Two modules are introduced in the framework about: (i) specification of SLAs and virtual machine templates in JSON format, following Amazon Elastic Compute Cloud (Amazon EC2) standards; (ii) injection of random faults, allowing to evaluate how the SLAs are affected by the occurrence of faults in servers. Finally, this work presents a proposal for automation of the creation and allocation of virtual machines, aiming to comply with the SLAs and free the client from the need to specify the minimum number of virtual machines to meet the required service levels. Even with all the automation level provided by cloud service providers, the obtained results show it is possible to further improve the automation of these services by reducing the need for customer intervention and SLA violations due to an inadequate configuration of virtual machines performed by the client.
Books on the topic "Cloudsim Plus"
Book chapters on the topic "Cloudsim Plus"
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Fleming, James Rodger. "The Path to Hot Towers." In First Woman, 75–88. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198862734.003.0005.
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Hai-Jew, Shalin. "Applied Analytical “Distant Reading” using NVivo 11 Plus™." In Social Media Data Extraction and Content Analysis, 159–201. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-0648-5.ch007.
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NVivo 11 Plus, a qualitative data analysis software tool, enables some types of “distant reading” albeit within the text data processing limits of the desktop machine. Some “distant reading” applications include the following: (1) word frequency counts (visualized as word clouds, tree maps, cluster analyses graphs, dendrograms, and ring graphs/circle graphs), (2) text searches (as word trees), (3) theme and sub-theme extractions (as bar charts), (4) matrix queries (as various types of data visualizations), (5) sentiment analyses (as bar charts, hierarchical treemaps, hierarchical sunburst diagrams, and text sets), (6) autocoding by existing pattern, and (7) geolocational mapping. While “distant reading” is still evolving, these unsupervised and semi-supervised machine reading approaches broaden the capabilities of researchers and may serve as a bridge to even more complex distant reading methods.
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Alebrahim, Azadeh, Denis Hatebur, Stephan Fassbender, Ludger Goeke, and Isabelle Côté. "A Pattern-Based and Tool-Supported Risk Analysis Method Compliant to ISO 27001 for Cloud Systems." In Transportation Systems and Engineering, 730–47. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8473-7.ch037.
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To benefit from cloud computing and the advantages it offers, obstacles regarding the usage and acceptance of clouds have to be cleared. For cloud providers, one way to obtain customers' confidence is to establish security mechanisms when using clouds. The ISO 27001 standard provides general concepts for establishing information security in an organization. Risk analysis is an essential part in the ISO 27001 standard for achieving information security. This standard, however, contains ambiguous descriptions. In addition, it does not stipulate any method to identify assets, threats, and vulnerabilities. In this paper, the authors present a method for cloud computing systems to perform risk analysis according to the ISO 27001. The authors' structured method is tailored to SMEs. It relies upon patterns to describe context and structure of a cloud computing system, elicit security requirements, identify threats, and select controls, which ease the effort for these activities. The authors' method guides companies through the process of risk analysis in a structured manner. Furthermore, the authors provide a model-based tool for supporting the ISO 27001 standard certification. The authors' tool consists of various plug-ins for conducting different steps of their method.
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"Chapter 84. Wu Yüeh-niang Creates a Stir in the Temple of Iridescent Clouds; Sung Chiang Uprightly Frees Her from the Ch’ing-feng Stronghold." In The Plum in the Golden Vase or, Chin P'ing Mei, edited by David Tod Roy, 54–71. Princeton: Princeton University Press, 2013. http://dx.doi.org/10.1515/9781400848157-007.
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Dryzek, John S., Richard B. Norgaard, and David Schlosberg. "Governance." In Climate-Challenged Society. Oxford University Press, 2013. http://dx.doi.org/10.1093/oso/9780199660100.003.0010.
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It is all very well to contemplate what policies are likely to prove effective and just, as we did in Chapters 4 and 5, but that assumes we have some effective authority to put them into practice. So comparisons of (for example) emissions trading schemes against carbon taxes as ways of achieving greenhouse gas emissions reduction need some kind of body to craft the policy and implement it effectively. Sometimes that body will be a sovereign government, but sometimes the government is missing altogether or has only partial jurisdiction—for example, if a carbon trading scheme can extend across national boundaries. When government is missing we can however still speak of processes of governance— notably at the global level. “Governance” is a broader concept that allows for more fluid, informal, and transnational arrangements, though it can also include government as conventionally defined. Global inaction on greenhouse gas emission reduction and inadequate national policies are sometimes blamed simply on an absence of political will. But a big part of the story is that if we can’t get the structure and process of governance right, we are not going to get the policies right. So it remains remarkable that some high-profile proposals either ignore the governance question altogether, or treat it in simplistic terms. For an example of ignoring governance altogether (doubly remarkable in that the person doing it is a political scientist) consider the policy proposals ranked by a group of experts assembled by Bjørn Lomborg under the auspices of his Copenhagen Consensus Center (Lomborg, 2010). Using cost–benefit analysis plus expert judgment, the top three solutions were: 1. Marine cloud whitening research 2. Energy research and development 3. Stratospheric aerosol insertion research The first of these would require creating mists from sea water to create clouds that better reflect sunlight, the third injecting tiny particles into the atmosphere to simulate the cooling effects of volcanic eruptions. Though cast in terms of “research” the reason for this ranking is the anticipated net benefit of the anticipated policy (policies to reduce greenhouse gas emissions came bottom).
Conference papers on the topic "Cloudsim Plus"
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Silva Filho, Manoel C., Raysa L. Oliveira, Claudio C. Monteiro, Pedro R. M. Inacio, and Mario M. Freire. "CloudSim Plus: A cloud computing simulation framework pursuing software engineering principles for improved modularity, extensibility and correctness." In 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM). IEEE, 2017. http://dx.doi.org/10.23919/inm.2017.7987304.
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Falcão, Eduardo Lucena, Lucas Medeiros Cavalcante, Rafael Vieira Falcão, José Benardi Souza Nunes, Kaio Kassiano Moura Oliveira, and Andrey Monteiro Brito. "Exploiting SLAs through Application of Economic Analysis on Datacenters’ Autonomic Management." In Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos. Sociedade Brasileira de Computação, 2020. http://dx.doi.org/10.5753/sbrc.2020.12289.
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Optimizing resource distribution in datacenters can achieve several economic benefits, including increasing energy efficiency, better workload performance, and higher levels of job acceptance. Although some studies propose strategies that increase resource utilization whilst meeting a certain QoS, there is a perspective yet to be exploited: the Service Level Agreements (SLA) amortization. We believe that keeping service levels far above the minimum agreed is a missed opportunity to apply more aggressive strategies to reduce allocated resource fragmentation and increase even further the benefits mentioned above. In this work, we propose a novel server rebalancing strategy based on economic systems, able to capitalize from the SLAs by keeping the harmony between the aggressive competition of Free Markets and the safe control of Regulated Markets. The proposed strategy is evaluated with a modified version of CloudSim Plus simulator. The outcomes show that the SLA exploitation strategy led to an economy of 8.6% up to 23% for different mechanism configuration.