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Advances in Methods and Techniques for Processing Streaming Big Data in Datacentre Clouds

Rajiv Ranjan, Lizhe Wang, Albert Y. Zomaya, Jie Tao, Prem Prakash Jayaraman, Dimitrios Georgakopoulos
2016 IEEE Transactions on Emerging Topics in Computing  
We would also like to thank the Editor-in-Chief, Professor Fabrizio Lombardi and acknowledge the support of  ...  ACKNOWLEDGEMENT We would like to thank the authors and all the reviewers for their hard work in helping us put together this special issue.  ...  The paper titled ''Provision of data-intensive services through energy-and QoS-aware virtual machine placement in national cloud data centers'' by Wang et. al. address the challenge of virtual machine  ... 
doi:10.1109/tetc.2016.2524219 fatcat:yhmcyaksovgvblxc6d3ggpf7sm

A Survey on Green Computing Based on Cloud Environment

Jia Zhao, Liang Hu, Gaochao Xu, Yan Ding, Jianfeng Chu
2013 International Journal of Online Engineering (iJOE)  
Cloud computing and virtualization have become research hotspots in recent years.  ...  Since information communication technology is widely used in real life, data centers have rapidly been developed and the number of data centers has increased a lot.  ...  ACKNOWLEDGMENTS The authors would like to thank the editors and anonymous reviewers for their valuable comments.  ... 
doi:10.3991/ijoe.v9i3.2559 fatcat:mjah6r2cfzabnipefc36j4npym

Performance and Energy Oriented Resource Provisioning in Cloud Systems Based on Dynamic Thresholds and Host Reputation
클라우드 시스템에서 동적 임계치와 호스트 평판도를 기반으로 한 성능 및 에너지 중심 자원 프로비저닝

Frank I. Elijorde, Jaewan Lee
2013 Journal of Internet Computing and services  
This requires the cloud providers to consider energy and performance trade-off when allocating virtualized resources in cloud data centers.  ...  In this paper, we propose a resource provisioning approach based on dynamic thresholds to detect the workload level of the host machines.  ...  Conclusion and Future Work In this paper, we presented an efficient resource provisioning approach which considers service quality and energy efficiency in a cloud data center.  ... 
doi:10.7472/jksii.2013.14.5.39 fatcat:lc6pejru6vcd3ith2uyrd7n7mi

VNF and Container Placement: Recent Advances and Future Trends [article]

Wissal Attaoui, Essaid Sabir, Halima Elbiaze, Mohsen Guizani
2022 arXiv   pre-print
Virtualization is not limited to simply replacing physical machines with virtual machines or VNFs, but may also include micro-services, containers, and cloud-native systems.  ...  In this context, the second part of our article focuses on the placement of containers in edge/fog computing.  ...  The cloud data centers adopted virtualization technology to efficiently manage resources and services.  ... 
arXiv:2204.00178v1 fatcat:giwlibsaknbkdnuvkao6nhkdnq

Machine Learning (ML)-Centric Resource Management in Cloud Computing: A Review and Future Directions [article]

Tahseen Khan, Wenhong Tian, Rajkumar Buyya
2021 arXiv   pre-print
Cloud providers provide users/machines resources such as virtual machines, raw (block) storage, firewalls, load balancers, and network devices in this service model.  ...  Traditionally, resource management has been done through static policies, which impose certain limitations in various dynamic scenarios, prompting cloud service providers to adopt data-driven, machine-learning-based  ...  efficiency in resource utilisation upto 91% guaranteeing QoS [83] Simulation using two data centers, and three hosts per data center 8 VMs in modeled data centers in CloudSim Significant  ... 
arXiv:2105.05079v1 fatcat:nvlsincidjejnfpddlg7mswybm

Load Balancing in Cloud Computing: A Comprehensive Survey on Recent Techniques

2021 International Journal of Advanced Trends in Computer Science and Engineering  
In workload distributions and system behavior, the cloud environment is extremely dynamic, leading to load imbalances across data center resources.  ...  The problem of load balancing in the cloud has been linked to a large amount of research, recognizing its role and impact.  ...  Single cloud environments evaluating cost-aware, energy-aware, multi-objective, and QoS-aware approaches in scheduling tasks. 2.  ... 
doi:10.30534/ijatcse/2021/521022021 fatcat:yurjv5rhxzbzrazyafyhxtqwgu

All One Needs to Know about Fog Computing and Related Edge Computing Paradigms

Ashkan Yousefpour, Caleb Fung, Tam Nguyen, Krishna Kadiyala, Fatemeh Jalali, Amirreza Niakanlahiji, Jian Kong, Jason P. Jue
2019 Journal of systems architecture  
Next, we provide a taxonomy of research topics in fog computing, and through a comprehensive survey, we summarize and categorize the efforts on fog computing and its related computing paradigms.  ...  With the Internet of Things (IoT) becoming part of our daily life and our environment, we expect rapid growth in the number of connected devices.  ...  The study in [257] focuses on the QoS-aware VNF placement and provisioning problem over an edgecloud infrastructure.  ... 
doi:10.1016/j.sysarc.2019.02.009 fatcat:udonbl6rerfwdap2psex7ryloa

Software engineering for multi-tenancy computing challenges and implications

Jia Ru, John Grundy, Jacky Keung
2014 Proceedings of the International Workshop on Innovative Software Development Methodologies and Practices - InnoSWDev 2014  
but in isolated virtual spaces.  ...  In particular, the reengineering effort of multi-tenancy in Software-as-a-Service cloud applications requires many complex and important aspects that should be taken into consideration, such as security  ...  StressCloud is a tool to model cloud application data, compute and communication characteristics and cloud load models, and generate real virtual machine provisioning and deployment testbeds.  ... 
doi:10.1145/2666581.2666585 dblp:conf/sigsoft/RuGK14 fatcat:niwmzw7umzdhbktn6lsqludzwe

Challenges and Issues of Resource Allocation Techniques in Cloud Computing

2020 KSII Transactions on Internet and Information Systems  
Hence, the main aim of this paper is to identify open challenges faced by the cloud service provider related to allocation of resource such as servers, storage and networks in cloud computing.  ...  In a cloud computing paradigm, allocation of various virtualized ICT resources is a complex problem due to the presence of heterogeneous application (MapReduce, content delivery and networks web applications  ...  For instance, Alicherry [37] introduced a network aware resource allocation of virtual machine and selection of data center.  ... 
doi:10.3837/tiis.2020.07.005 fatcat:bwcw4gwjurf2rnjrkqpql2boli

Dynamic VM Consolidation Enhancement for Designing and Evaluation of Energy Efficiency in Green Data Centers Using Regression Analysis

A V. Sajitha, A C. Subhajini
2018 International Journal of Engineering & Technology  
Enhancement of dynamic Virtual Machines (VM) consolidation is an efficient means to improve the energy efficiency via effective resources utilization in Cloud data centers.  ...  In this paper, we propose an algorithm, Energy Conscious Greeny Cloud Dynamic Algorithm, which considers multiple factors such as CPU, memory and bandwidth utilization of the node for empowering VM consolidation  ...  It offers a simulation environment for energy-aware cloud data centers [4] . Cloud computing leverages virtualization technology for efficient provisioning of resources.  ... 
doi:10.14419/ijet.v7i3.6.14966 fatcat:sa63xir3bvehfhomj2ykrmnmsq

Providing Dependability and Resilience in the Cloud: Challenges and Opportunities [chapter]

Samuel Kounev, Philipp Reinecke, Fabian Brosig, Jeremy T. Bradley, Kaustubh Joshi, Vlastimil Babka, Anton Stefanek, Stephen Gilmore
2012 Resilience Assessment and Evaluation of Computing Systems  
Cloud Computing is a novel paradigm for providing data center resources as on demand services in a pay-as-you-go manner.  ...  At the same time, the virtualization of physical resources, inherent in Cloud Computing, provides new opportunities for novel dependability and quality-of-service management techniques that can potentially  ...  According to a study at Lawrence Berkley National Labs (2007), power consumption in data centers doubled from 2000 to 2005, and in 2006, the USA alone spent an estimated 61 TW-h in data centers.  ... 
doi:10.1007/978-3-642-29032-9_4 fatcat:hlj3rotbgngatcgqteulxwokba

A Survey on Machine Learning for Geo-Distributed Cloud Data Center Management [article]

Ninad Hogade, Sudeep Pasricha
2022 arXiv   pre-print
In this article, we review the state-of-the-art ML techniques for the cloud data center management problem.  ...  Cloud service providers have been distributing data centers globally to reduce operating costs while also improving quality of service by using intelligent workload and resource management strategies.  ...  ACKNOWLEDGMENTS This work is supported by the National Science Foundation (NSF) under grant CCF-1302693.  ... 
arXiv:2205.08072v1 fatcat:nz3vvmdrard6hgydagnsadrnpm

A New Resources Provisioning Method Based on QoS Differentiation and VM Resizing in IaaS

Rongdong Hu, Guangming Liu, Jingfei Jiang, Lixin Wang
2015 Mathematical Problems in Engineering  
In order to improve the host energy efficiency in IaaS, we proposed an adaptive host resource provisioning method, CoST, which is based on QoS differentiation and VM resizing.  ...  It places two different types of VMs on the same host and dynamically adjusts their sizes based on the load forecasting and QoS feedback.  ...  Acknowledgment This work is supported by the National Natural Science Foundation of China (NSFC) under Grant no. 61303070.  ... 
doi:10.1155/2015/215147 fatcat:cwzecqxck5hu3lbahzsi3utk7a

A Survey of Fog Computing

Shanhe Yi, Cheng Li, Qun Li
2015 Proceedings of the 2015 Workshop on Mobile Big Data - Mobidata '15  
Despite the increasing usage of cloud computing, there are still issues unsolved due to the inherent problem of cloud computing such as unreliable latency, lack of mobility support and location-awareness  ...  Fog computing, also termed edge computing, can address those problems by providing elastic resources and services to end users at the edge of network, while cloud computing are more about providing resources  ...  However, some topics have been studied extensively in the context of virtual machine and hypervisor [20] , and cloud computing [46] .  ... 
doi:10.1145/2757384.2757397 dblp:conf/mobihoc/YiLL15 fatcat:2ikw7e2o2zcsdklqn2ckt46juy

Infrastructure and Energy Conservation in Big Data Computing: A Survey

Ewa Niewiadomska-Szynkiewicz, Michał P. Karpowicz
2019 Journal of Telecommunications and Information Technology  
The rapid growth of data-intensive domains requires a continuous development of new solutions for network infrastructure, servers and storage in order to address Big Datarelated problems.  ...  Progress in life, physical sciences and technology depends on efficient data-mining and modern computing technologies.  ...  Acknowledgments This work was supported by the Polish National Science Centre's grant 2015/17/B/ST6/01885.  ... 
doi:10.26636/jtit.2019.132419 fatcat:oeokamnhxbdmbkoytyrpqgilfy
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