標題: Titlebook: Resource Management in Distributed Systems; Anwesha Mukherjee,Debashis De,Rajkumar Buyya Book 2024 The Editor(s) (if applicable) and The A [打印本頁] 作者: lutein 時間: 2025-3-21 19:02
書目名稱Resource Management in Distributed Systems影響因子(影響力)
書目名稱Resource Management in Distributed Systems影響因子(影響力)學科排名
書目名稱Resource Management in Distributed Systems網絡公開度
書目名稱Resource Management in Distributed Systems網絡公開度學科排名
書目名稱Resource Management in Distributed Systems被引頻次
書目名稱Resource Management in Distributed Systems被引頻次學科排名
書目名稱Resource Management in Distributed Systems年度引用
書目名稱Resource Management in Distributed Systems年度引用學科排名
書目名稱Resource Management in Distributed Systems讀者反饋
書目名稱Resource Management in Distributed Systems讀者反饋學科排名
作者: Plaque 時間: 2025-3-21 22:43
,FSRmSTS—An Optimize Task Scheduling with a Hybrid Approach: Integrating FCFS, SJF, and RR with Medice schedulers. In order to balance waiting times for both short and long tasks, it uses a dynamic task quantum. It also splits the ready queue into two sub-queues according to task duration. Tasks are assigned to resources from each sub-queue in a mutually exclusive manner. The performance of the pr作者: incubus 時間: 2025-3-22 03:07
,Resource Targeted Cybersecurity Attacks in?Cloud Computing Environments,nderstand the attack methods, possible effects, and possible countermeasures for each of the listed attacks. At the end of the chapter, we provide a set of solution directions related to cloud targeted attacks.作者: accessory 時間: 2025-3-22 05:29
Load Balancing Using Swarm Intelligence in Cloud Environment,to find out which one should be better for load balancing. We also discuss about performance matrices that affect load balancing i.e., makespan time, throughput, waiting time, response time, and fault tolerance. There can be works that can use a combination of more than one swarm intelligence, as a 作者: 文藝 時間: 2025-3-22 10:18 作者: 引起痛苦 時間: 2025-3-22 13:25
,Cyber Attack Victim Separation: New Dimensions to?Minimize Attack Effects by?Resource Management,cers or moving target defense (MTD) driven methods. We see a heavy use of resource sharing in multi-tenant environments such as cloud infrastructures. Not having proper resource isolation may also result into collateral damages among the multi-tenant services in cloud based deployments. Resource con作者: 無可非議 時間: 2025-3-22 18:54 作者: 走路左晃右晃 時間: 2025-3-22 22:55
Deep Reinforcement Learning (DRL)-Based Methods for Serverless Stream Processing Engines: A Vision,maintain the desired performance goals. To address these challenges, this article proposes a vision for creating Deep Reinforcement Learning (DRL)-based methods for transforming stream processing engines into self-managed serverless solutions. This will lead to an increase in productivity as enginee作者: SOB 時間: 2025-3-23 05:19
2197-6503 and portability, security and privacy in resource management, reliable resource management, trustworthiness in resource management, fault tolerance in resource management, and simulation related to resource management..978-981-97-2646-2978-981-97-2644-8Series ISSN 2197-6503 Series E-ISSN 2197-6511 作者: creditor 時間: 2025-3-23 08:06 作者: GLUT 時間: 2025-3-23 12:17 作者: 啜泣 時間: 2025-3-23 16:56 作者: 不能根除 時間: 2025-3-23 20:30
Yanan Xu,Zhenli He,Keqin Li Park. Geospatial technology provides the capability to solve natural resource issues at difference scales, which help the National Park Service manage their environmental issues, satisfy federal mandates, and present environmental information that is valuable to all citizens who enjoy national park作者: Bph773 時間: 2025-3-24 01:33 作者: anniversary 時間: 2025-3-24 02:54
Zhao Tong,Jiake Wang,Keqin Lilens blast zone. We used forest maps as inputs into a GIS model estimating the supportable density of deer as an indicator of nutritional carrying capacity (NCC). To simulate potential road and cover effects on habitat use, we reduced habitat values based upon published effects of distance to roads 作者: Eviction 時間: 2025-3-24 10:03 作者: 舊石器時代 時間: 2025-3-24 12:54 作者: 一回合 時間: 2025-3-24 18:29 作者: 我不明白 時間: 2025-3-24 20:19 作者: BORE 時間: 2025-3-25 01:19
Yogita Yashveer Raghav,Sarita Gulia,Pallavi Pandeytices – from several European countries and settings – related to geospatial challenges in geography education. Given its scope, it will be equally appealing to scientists, students and teachers of geography and other fields using geospatial technologies and geomedia..作者: WAG 時間: 2025-3-25 03:47
AmirHossein Jafari Pozveh,Seyedeh Maryam Mazinani,Mahsa Faraji Shoyariean Union Youth Strategy Priority 7, using e-participation as an instrument to foster young people’s empowerment and active participation in democratic life, under the Erasmus Plus Programme. A data benchmarking process led to the establishment of a data dashboard and visualization of EU Policy achi作者: 繁榮中國 時間: 2025-3-25 08:39
Anmol Kumar,Gaurav Somaniean Union Youth Strategy Priority 7, using e-participation as an instrument to foster young people’s empowerment and active participation in democratic life, under the Erasmus Plus Programme. A data benchmarking process led to the establishment of a data dashboard and visualization of EU Policy achi作者: MILK 時間: 2025-3-25 13:40 作者: 不要嚴酷 時間: 2025-3-25 16:56
Maria R. Read,Chinmaya Dehury,Satish Narayana Srirama,Rajkumar Buyyares. The information extracted by comparing two or more images of an area that were acquired at different times. Unsupervised classification distinguish?the?patterns in the reflectance data and groups them into a pre-defined number of classes without any prior knowledge of the image. Whereas, in sup作者: Ablation 時間: 2025-3-25 21:23 作者: Toxoid-Vaccines 時間: 2025-3-26 00:33
Book 2024research works, which report the latest research advances on resource discovery, allocation, scheduling, etc., in cloud, fog, and edge computing. The topics covered in the book are resource management in cloud computing/edge computing/fog computing/dew computing, resource management in Internet of t作者: Aerate 時間: 2025-3-26 07:16 作者: 統(tǒng)治人類 時間: 2025-3-26 08:57
Resource Scheduling in Integrated IoT and Fog Computing Environments: A Taxonomy, Survey and Futures. Furthermore, a taxonomy of resource scheduling techniques for integrated IoT and fog computing environments is proposed to understand their current status and identify the existing research gaps. Moreover, it discusses using Federated Learning to optimise QoS. Finally, it proposes future directions for research on this topic.作者: 無能力之人 時間: 2025-3-26 15:17
Resource Management in Edge Clouds: Latency-Aware Approaches for Big Data Analysis,nectivity and heterogeneous traffic demands. Finally, future direction?has been proposed in terms of cross-layer optimization, context-aware resource management, security and privacy, and energy efficiency via the lens of cutting-edge AI and machine learning methods.作者: induct 時間: 2025-3-26 16:58 作者: Ptosis 時間: 2025-3-27 00:46
Cloud Computing Resource Management,erent approaches to cloud resource management. Along with cloud computing, resource management in edge and fog computing is also discussed. The challenges of cloud resource management are also highlighted.作者: Instinctive 時間: 2025-3-27 04:27
Resource Management in Distributed Computing,and management in distributed computing system is provided with an emphasis on resource management in cloud, edge, and edge computing. The load balancing, resource scheduling, and allocation in distributed computing systems are also illustrated.作者: armistice 時間: 2025-3-27 07:36
Cloud Computing Resource Management,ource management becomes crucial since efficient resource sharing is essential to provide good Quality of Service (QoS). This chapter illustrates different approaches to cloud resource management. Along with cloud computing, resource management in edge and fog computing is also discussed. The challe作者: POWER 時間: 2025-3-27 09:53 作者: nerve-sparing 時間: 2025-3-27 13:53 作者: Osteoarthritis 時間: 2025-3-27 19:51 作者: anaphylaxis 時間: 2025-3-27 22:39 作者: 譏諷 時間: 2025-3-28 02:31 作者: Seizure 時間: 2025-3-28 08:06 作者: 貿易 時間: 2025-3-28 12:28 作者: 業(yè)余愛好者 時間: 2025-3-28 18:21
Load Balancing Using Swarm Intelligence in Cloud Environment,itical technique in this realm, plays a vital role in ensuring the optimal utilization of resources while maintaining system stability and performance. Traditional load balancing approaches often face challenges in dynamically changing environments due to the complexities of modern cloud systems. To作者: 怕失去錢 時間: 2025-3-28 19:40
Interoperability and Portability in Big Data Analysis Based Cloud-Fog-Edge-Dew Computing,, especially in the field of big data analytics. The effective interaction between diverse clouds working together—referred to as interoperability—holds immense importance in handling and analyzing vast datasets. Similarly, the ease of relocating data or applications across various cloud environment作者: Prophylaxis 時間: 2025-3-29 00:17 作者: cocoon 時間: 2025-3-29 04:23
,eBPF and?XDP Technologies as?Enablers for?Ultra-Fast and?Programmable Next-Gen Network Infrastructued Networking (SDN) and Network Function Virtualization (NFV) techniques have laid the foundations of future communication architectures by providing flexibility and robustness against operational changes, the reduction of the networking tasks’ latency still remains as a challenge. This is specially作者: Anhydrous 時間: 2025-3-29 08:07
Deep Reinforcement Learning (DRL)-Based Methods for Serverless Stream Processing Engines: A Vision,ata that need to be processed and analysed in real time. Modern businesses are aggressively using streaming data to generate valuable knowledge that can be used to automate processes, help decision-making, optimize resource usage, and ultimately generate revenue for the organization. Despite their i作者: 沐浴 時間: 2025-3-29 11:41 作者: 桶去微染 時間: 2025-3-29 17:38
Anwesha Mukherjee,Debashis De,Rajkumar BuyyaPresents comprehensive review of resource management.Discusses limitations and solutions for a sustainable distributed system.Serves as a reference resource for researchers and practitioners in academ作者: Traumatic-Grief 時間: 2025-3-29 23:14 作者: 創(chuàng)造性 時間: 2025-3-30 00:19 作者: 四海為家的人 時間: 2025-3-30 04:33 作者: MAG 時間: 2025-3-30 09:29
978-981-97-2646-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor作者: 轎車 時間: 2025-3-30 14:52
Resource Management in Distributed Systems978-981-97-2644-8Series ISSN 2197-6503 Series E-ISSN 2197-6511 作者: flutter 時間: 2025-3-30 17:31 作者: 牽索 時間: 2025-3-30 22:39 作者: Vulnerary 時間: 2025-3-31 00:56
Anwesha Mukherjee,Debashis De,Rajkumar Buyyaith urgent conditions. However, there has not been enough research on ways in which planning resources for ambulance dispatch may enhance the response time of EMS. GIS has been used to manage and visualize the spatial distribution of EMS demand, but there is still a need for more empirical evidence 作者: 饒舌的人 時間: 2025-3-31 08:21 作者: Etching 時間: 2025-3-31 09:43
Naif Alshammari,Sukhpal Singh Gill,Haris Pervaiz,Qiang Ni,Hasan Ahmedopulation dynamics particularly when habitat conditions are changing. Following the 1980 eruption, populations of Columbian black-tailed deer (.) (hereafter BTD) increased rapidly but quickly declined. Similar declines have been historically attributed to a predominance of even-aged closed canopy fo作者: Defiance 時間: 2025-3-31 14:39
Zhao Tong,Jiake Wang,Keqin Liopulation dynamics particularly when habitat conditions are changing. Following the 1980 eruption, populations of Columbian black-tailed deer (.) (hereafter BTD) increased rapidly but quickly declined. Similar declines have been historically attributed to a predominance of even-aged closed canopy fo作者: 使人入神 時間: 2025-3-31 19:08
AmirHossein Jafari Pozveh,Hadi Shahriar Shahhoseini,Erfan Khabarehng. Quantitative evidence points to a close correlation between the increase in imperviousness and temporal land cover change. Drawing from baseline and temporal land cover change datasets generated for the state of Kentucky, U.S.A, this chapter presents two examples of geotechnology usage: remote s
