| 1. |
- Wang, Lunche, et al.
(författare)
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Carbon emissions and reduction performance of photovoltaic systems in China
- 2024
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Ingår i: RENEWABLE & SUSTAINABLE ENERGY REVIEWS. - 1364-0321 .- 1879-0690. ; 200
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Tidskriftsartikel (refereegranskat)abstract
- Solar energy is an inexhaustible clean energy, which can be converted into electricity through photovoltaic (PV) modules. However, the production of these modules is a process of pollution, which will generate a large amount of carbon emissions. Therefore, investigating the carbon emission performance of PV systems is of great significance in achieving carbon neutrality. Here, this study comprehensively analyze the carbon emissions and carbon emission reduction performance of PV systems in China using life cycle assessment approach. The results show that the life cycle carbon emissions of PV systems in China decreased from 1.66 kg CO2/W in 2011 to 0.75 kg CO2/W in 2018; meanwhile, the carbon intensity decreased from 74.24 to 50.91 kg CO2/kWh, and the energy payback time decreased from 2.4 to 2.2 years. Between 2008 and 2018, PV systems in China attained a cumulative net emission reduction of approximately 1889 x 108 kg CO2. In addition, for every 1 % increase in PV power generation, the total carbon emissions from the power generation sector in China from 2022 to 2035 could be reduced by approximately 2.05 %. This study analyzes the carbon emissions and carbon reduction of PV systems in China on a larger spatial-temporal scale as well as in a future perspective. The results of this study provide a better understanding of the carbon emissions and reduction performance of PV systems, and provide some effective information for the high-quality development of the PV industry in China.
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| 2. |
- Alhamazani, Khalid, et al.
(författare)
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Real-time QoS Monitoring for Cloud-based Big Data Analytics Application in Mobile Environments
- 2014
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Ingår i: 2014 15th IEEE International Conference on Mobile Data Management (MDM 2014). - Piscataway, NY : IEEE Communications Society. - 9781479957057 ; , s. 337-340
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Konferensbidrag (refereegranskat)abstract
- The service delivery model of cloud computing acts as a key enabler for big data analytics applications enhancing productivity, efficiency and reducing costs. The ever increasing flood of data generated from smart phones and sensors such as RFID readers, traffic cams etc require innovative provisioning and QoS monitoring approaches to continuously support big data analytics. To provide essential information for effective and efficient bid data analytics application QoS monitoring, in this paper we propose and develop CLAMS-Cross-Layer Multi-Cloud Application Monitoring-as-a-Service Framework. The proposed framework: (a) performs multi-cloud monitoring, and (b) addresses the issue of cross-layer monitoring of applications. We implement and demonstrate CLAMS functions on real-world multi-cloud platforms such as Amazon and Azure.
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| 3. |
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| 4. |
- Alhamazani, Khalid, et al.
(författare)
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CLAMS : Cross-Layer Multi-Cloud Application Monitoring-as-a-Service Framework
- 2014
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Ingår i: Proceedings of the 11th IEEE International Conference on Services Computing (IEEE SCC 2014). - Piscataway, NJ : IEEE Communications Society. - 9781479950652 - 9781479950669 ; , s. 283-290
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Konferensbidrag (refereegranskat)abstract
- Cloud computing provides on-demand access to affordable hardware (e.g., multi-core CPUs, GPUs, disks, and networking equipment) and software (e.g., databases, application servers, data processing frameworks, etc.) platforms. Application services hosted on single/multiple cloud provider platforms have diverse characteristics that require extensive monitoring mechanisms to aid in controlling run-time quality of service (e.g., access latency and number of requests being served per second, etc.). To provide essential real-time information for effective and efficient cloud application quality of service (QoS) monitoring, in this paper we propose, develop and validate CLAMS—Cross-Layer Multi-Cloud Application Monitoring-as-a-Service Framework. The proposed framework is capable of: (a) performing QoS monitoring of application components (e.g., database, web server, application server, etc.) that may be deployed across multiple cloud platforms (e.g., Amazon and Azure); and (b) giving visibility into the QoS of individual application component, which is something not supported by current monitoring services and techniques. We conduct experiments on real-world multi-cloud platforms such as Amazon and Azure to empirically evaluate our framework and the results validate that CLAMS efficiently monitors applications running across multiple clouds.
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| 5. |
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| 6. |
- Alhamazani, Khalid, et al.
(författare)
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Cross-Layer Multi-Cloud Real-Time Application QoS Monitoring and Benchmarking As-a-Service Framework
- 2019
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Ingår i: I E E E Transactions on Cloud Computing. - Los Alamitos : IEEE. - 2168-7161. ; 7:1, s. 48-61
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Tidskriftsartikel (refereegranskat)abstract
- Cloud computing provides on-demand access to affordable hardware (e.g., multi-core CPUs, GPUs, disks, and networking equipment) and software (e.g., databases, application servers and data processing frameworks) platforms with features such as elasticity, pay-per-use, low upfront investment and low time to market. This has led to the proliferation of business critical applications that leverage various cloud platforms. Such applications hosted on single/multiple cloud provider platforms have diverse characteristics requiring extensive monitoring and benchmarking mechanisms to ensure run-time Quality of Service (QoS) (e.g., latency and throughput). This paper proposes, develops and validates CLAMBS—Cross-Layer Multi Cloud Application Monitoring and Benchmarking as-a-Service for efficient QoS monitoring and benchmarking of cloud applications hosted on multi-clouds environments. The major highlight of CLAMBS is its capability of monitoring and benchmarking individual application components such as databases and web servers, distributed across cloud layers (*-aaS), spread among multiple cloud providers. We validate CLAMBS using prototype implementation and extensive experimentation and show that CLAMBS efficiently monitors and benchmarks application components on multi-cloud platforms including Amazon EC2 and Microsoft Azure.
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| 7. |
- Casas, Israel, et al.
(författare)
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A balanced scheduler with data reuse and replication for scientific workflows in cloud computing systems
- 2017
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Ingår i: Future Generation Computer Systems. - : Elsevier. - 0167-739X .- 1872-7115. ; 74, s. 168-178
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Tidskriftsartikel (refereegranskat)abstract
- Cloud computing provides substantial opportunities to researchers who demand pay-as-you-go computing systems. Although cloud provider (e.g., Amazon Web Services) and application provider (e.g., biologists, physicists, and online gaming companies) both have specific performance requirements (e.g. application response time), it is the cloud scheduler’s responsibility to map the application to underlying cloud resources. This article presents a Balanced and file Reuse-Replication Scheduling (BaRRS) algorithm for cloud computing environments to optimally schedule scientific application workflows. BaRRS splits scientific workflows into multiple sub-workflows to balance system utilization via parallelization. It also exploits data reuse and replication techniques to optimize the amount of data that needs to be transferred among tasks at run-time. BaRRS analyzes the key application features (e.g., task execution times, dependency patterns and file sizes) of scientific workflows for adapting existing data reuse and replication techniques to cloud systems. Further, BaRRS performs a trade-off analysis to select the optimal solution based on two optimization constraints: execution time and monetary cost of running scientific workflows. BaRRS is compared with a state-of-the-art scheduling approach; experiments prove its superior performance. Experiments include four well known scientific workflows with different dependency patterns and data file sizes. Results were promising and also highlighted most critical factors affecting execution of scientific applications on clouds.
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| 8. |
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| 9. |
- Cho, Daewoong, et al.
(författare)
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Virtual Network Function Placement : Towards Minimizing Network Latency and Lead Time
- 2017
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Ingår i: 2017 IEEE International Conference on Cloud Computing Technology and Science (CloudCom). - Piscataway : IEEE. - 9781538619933 - 9781538619940 ; , s. 90-97
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Konferensbidrag (refereegranskat)abstract
- Network Function Virtualization (NFV) is an emerging network architecture to increase flexibility and agility within operator's networks by placing virtualized services on demand in Cloud data centers (CDCs). One of the main challenges for the NFV environment is how to minimize network latency in the rapidly changing network environments. Although many researchers have already studied in the field of Virtual Machine (VM) migration and Virtual Network Function (VNF) placement for efficient resource management in CDCs, VNF migration problem for low network latency among VNFs has not been studied yet to the best of our knowledge. To address this issue in this article, we i) formulate the VNF migration problem and ii) develop a novel VNF migration algorithm called VNF Real-time Migration (VNF-RM) for lower network latency in dynamically changing resource availability. As a result of experiments, the effectiveness of our algorithm is demonstrated by reducing network latency by up to 70.90% after latency-aware VNF migrations.
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| 10. |
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Handbook of Integration of Cloud Computing, Cyber Physical Systems and Internet of Things
- 2020
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Samlingsverk (redaktörskap) (refereegranskat)abstract
- This handbook covers recent advances in the integration of three areas, namely, cloud computing, cyber-physical systems, and the Internet of things which is expected to have a tremendous impact on our daily lives. It contains a total of thirteen peer-reviewed and edited chapters. This book covers topics such as context-aware cyber-physical systems, sustainable cloud computing, fog computing, and cloud monitoring; both the theoretical and practical aspects belonging to these topics are discussed. All the chapters also discuss open research challenges in the areas mentioned above. Finally, the handbook presents three use cases regarding healthcare, smart buildings and disaster management to assist the audience in understanding how to develop next-generation IoT- and cloud-enabled cyber-physical systems. This timely handbook is edited for students, researchers, as well as professionals who are interested in the rapidly growing fields of cloud computing, cyber-physical systems, and the Internet of things.
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| 11. |
- Ranjan, Rajiv, et al.
(författare)
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Special issue on Big Data and Cloud of Things (CoT)
- 2017
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Ingår i: Software, practice & experience. - : John Wiley & Sons. - 0038-0644 .- 1097-024X. ; 47:3, s. 345-347
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)
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| 12. |
- Song, Jinchao, et al.
(författare)
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Monitoring finer-scale population density in urban functional zones : A remote sensing data fusion approach
- 2019
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Ingår i: Landscape and Urban Planning. - : Elsevier BV. - 0169-2046. ; 190
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Tidskriftsartikel (refereegranskat)abstract
- Spatial distribution information on population density is essential for understanding urban dynamics. In recent decades, remote sensing techniques have often been applied to assess population density, particularly night-time light data (NTL). However, such attempts have resulted in mapped population density at coarse/medium resolution, which often limits the applicability of such data for fine-scale territorial planning. The improved quality and availability of multi-source remote sensing imagery and location-based service data (LBS) (from mobile networks or social media) offers new potential for providing more accurate population information at the micro-scale level. In this paper, we developed a fine-scale population distribution mapping approach by combining the functional zones (FZ) mapped with high-resolution satellite images, NTL data, and LBS data. Considering the possible variations in the relationship between population distribution and nightlight brightness in functional zones, we tested and found spatial heterogeneity of the relationship between NTL and the population density of LBS samples. Geographically weighted regression (GWR) was thus implemented to test potential improvements to the mapping accuracy. The performance of the following four models was evaluated: only ordinary least squares regression (OLS), only GWR, OLS with functional zones (OLS&FZ) and GWR with functional zones (GWR&FZ). The results showed that NTL-based GWR&FZ was the most accurate and robust approach, with an accuracy of 0.71, while the mapped population density was at a unit of 30 m spatial resolution. The detailed population density maps developed in our approach can contribute to fine-scale urban planning, healthcare and emergency responses in many parts of the world.
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| 13. |
- Wang, Yang, et al.
(författare)
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Structural basis for lipid transfer by the ATG2A–ATG9A complex
- 2024
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Ingår i: Nature Structural & Molecular Biology. - : Springer Nature. - 1545-9993 .- 1545-9985.
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Tidskriftsartikel (refereegranskat)abstract
- Autophagy is characterized by the formation of double-membrane vesicles called autophagosomes. Autophagy-related proteins (ATGs) 2A and 9A have an essential role in autophagy by mediating lipid transfer and re-equilibration between membranes for autophagosome formation. Here we report the cryo-electron microscopy structures of human ATG2A in complex with WD-repeat protein interacting with phosphoinositides 4 (WIPI4) at 3.2 Å and the ATG2A–WIPI4–ATG9A complex at 7 Å global resolution. On the basis of molecular dynamics simulations, we propose a mechanism of lipid extraction from the donor membranes. Our analysis revealed 3:1 stoichiometry of the ATG9A–ATG2A complex, directly aligning the ATG9A lateral pore with ATG2A lipid transfer cavity, and an interaction of the ATG9A trimer with both the N-terminal and the C-terminal tip of rod-shaped ATG2A. Cryo-electron tomography of ATG2A liposome-binding states showed that ATG2A tethers lipid vesicles at different orientations. In summary, this study provides a molecular basis for the growth of the phagophore membrane and lends structural insights into spatially coupled lipid transport and re-equilibration during autophagosome formation.
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| 14. |
- Xia, Feng, et al.
(författare)
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Internet of Things
- 2012
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Ingår i: International Journal of Communication Systems. - Chichester : John Wiley & Sons. - 1074-5351 .- 1099-1131. ; 25:9, s. 1101-1102
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Tidskriftsartikel (refereegranskat)
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