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Quality-of-service in cloud computing: modeling techniques and their applications
2014
Journal of Internet Services and Applications
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This paper aims at supporting research in this area by providing a survey of the state of the art of QoS modeling approaches suitable for cloud systems. ...
One of the challenges posed by cloud applications is Quality-of-Service (QoS) management, which is the problem of allocating resources to the application to guarantee a service level along dimensions such ...
Acknowledgment The research reported in this article is partially supported by the European Commission grant FP7-ICT-2011-8-318484 (MODAClouds, www.modaclouds.eu). ...
doi:10.1186/s13174-014-0011-3
fatcat:shmoifzl4vhqtjtj6h55uoucnu
Hybrid Whale Optimization Algorithm for Resource Optimization in Cloud E-Healthcare Applications
2022
Computers Materials & Continua
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But these services generate a huge number of computational tasks, real-time computing and comes with a deadline, so conventional cloud optimization models cannot fulfil the task in the least time and within ...
The Cloud computing environment provides a real-time computing environment for e-health care applications. ...
The provisioning tasks on virtual machines perform using static, dynamic and meta-heuristic approaches. ...
doi:10.32604/cmc.2022.023056
fatcat:foyrh4bil5gbjk3m3oimfnwqxa
Energy Efficient Resource Allocation in Cloud Computing Environments
2016
IEEE Access
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We believe that our work advances the state of the art in workload estimation and dynamic power management of cloud DCs, and the results will be helpful to cloud service providers in achieving energy saving ...
In this paper, a platform for virtual machine (VM) placement/migration is proposed to minimize the total power consumption of cloud data centers (DCs). ...
MODELING OF THE CLOUD COMPUTING JOBS The current model assumes a varying number of jobs in a cloud computing DC in different time slots. ...
doi:10.1109/access.2016.2633558
fatcat:et3tdvrydrbqpi4r35bmjdrz3i
On Elasticity Measurement in Cloud Computing
2016
Scientific Programming
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of elasticity value of a cloud computing platform. ...
Elasticity is the foundation of cloud performance and can be considered as a great advantage and a key benefit of cloud computing. ...
Such a dynamic resource provision and management feature is called elasticity. ...
doi:10.1155/2016/7519507
fatcat:cdihyoyubjfvpgjnsvgvuurwfi
A Stochastic Approximation Approach for Foresighted Task Scheduling in Cloud Computing
[article]
2020
arXiv
pre-print
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Since a-priori knowledge from the dynamics in queue length of virtual machines is not known in run time, an online reinforcement learning approach is proposed for foresighted task allocation. ...
Due to the time-varying nature of resource demands in length and processing over time and dynamics and heterogeneity of cloud resources, existing myopic task scheduling solutions intended to maximize the ...
Acknowledgment We would like to express our gratitude to Fatemeh Ahmadi for her great assistance on implementing the simulation scenarios discussed in this article. ...
arXiv:1810.04718v2
fatcat:uyy72ej7qrad3ksxo7jkfim5gi
Cost-Effective Resource Configurations for Multi-Tenant Database Systems in Public Clouds
2015
International Journal of Cloud Applications and Computing
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Cloud computing is a promising paradigm for deploying applications due to its large resource offerings on a payas-you-go basis. ...
Abstract Cloud computing is a promising paradigm for deploying applications due to its large resource offerings on a pay-as-you-go basis. ...
There are primarily three types of resources needed to execute a workload in an IaaS-cloud: (a) compute, (b) storage, and (c) network. ...
doi:10.4018/ijcac.2015040101
fatcat:wy6w3svybza2he6e3copen7pe4
Cloud Computing in VANETs: Architecture, Taxonomy, and Challenges
2017
IETE Technical Review
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In this paper, a qualitative review of cloud computing in VANETs has been presented. ...
Some of the cloud computing services realized in CC-V include Network as a Services (NaaS), Storage as a Service (STaaS), Cooperation as a Service (CaaS), Computing as a Service (COaaS), and Sensing as ...
ACKNOWLEDGMENT The research is supported by Ministry of Education Malaysia (MOE) and conducted in collaboration with Research Management Center (RMC) at University Teknologi Malaysia (UTM) under VOT NUMBER ...
doi:10.1080/02564602.2017.1342572
fatcat:ooyjke73gzedvi7wugizvim4km
Axiomatic Cloud Computing Architectural Design
2019
MATEC Web of Conferences
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Modern cloud computing makes available a plethora of scalable cloud computing offerings. ...
This paper unifies the above approaches in order to tackle the architectural challenges of cloud computing. ...
, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal ...
doi:10.1051/matecconf/201930100024
fatcat:wxy73lm4zfgnpcvgt5ucg3bfxi
Adaptive Resource Allocation for Computation Offloading
2019
ACM Transactions on Internet Technology
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Mobile Cloud Computing (MCC) is the emerging service delivery paradigm that integrates Cloud Computing -our modeling approach can accurately capture the dynamic behavior of the applicationspecific VM under ...
The resource allocation process and VM provisioning were modeled by a Markovian multiserver queuing system with priority levels and a multidimensional Markov system, based on a Birth-Death queuing system ...
doi:10.1145/3284553
fatcat:vb2uq6e4zrgbnhk4satfmwpsaa
A Survey on Mobile Edge Computing: The Communication Perspective
2017
IEEE Communications Surveys and Tutorials
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Driven by the visions of Internet of Things and 5G communications, recent years have seen a paradigm shift in mobile computing, from the centralized Mobile Cloud Computing towards Mobile Edge Computing ...
This paper provides a comprehensive survey of the state-of-the-art MEC research with a focus on joint radio-and-computational resource management. ...
resource via a separable semidefinite relaxation approach in [113] , which was later extended in [114] by taking the computational resource allocation and processing cost into account. ...
doi:10.1109/comst.2017.2745201
fatcat:rkgkslqx4bg6vp4ynidiuzqtga
Elastic Virtual Machine for Fine-Grained Cloud Resource Provisioning
[chapter]
2012
Communications in Computer and Information Science
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Elasticity is one of the distinguishing characteristics associated with Cloud computing emergence. It enables cloud resources to auto-scale to cope with workload demand. ...
Multi-instances horizontal scaling is the common scalability architecture in Cloud; however, its current implementation is coarse-grained, while it considers Virtual Machine (VM) as a scaling unit, this ...
Fortunately, Cloud computing Infrastructure as a Service (IaaS) model, based on Virtualization technologies such as Xen [4] ; VMWare [3] ; and KVM [14] , enables agile and dynamic provisioning of resources ...
doi:10.1007/978-3-642-29219-4_2
fatcat:u4jub5jrbzfilfgogdjeofxomm
A Holistic Approach for Collaborative Workload Execution in Volunteer Clouds
2018
ACM Transactions on Modeling and Computer Simulation
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e demand for provisioning, using and maintaining distributed computational resources is growing hand in hand with the quest for ubiquitous services. ...
In this paper, we propose a novel holistic approach for volunteer clouds supporting collaborative task execution services able to improve the QoS of compute-intensive workloads. ...
A Heuristic Approach to Tune the Cloud Sites. ...
doi:10.1145/3155336
fatcat:n2f43r34azdblkrdenr3eus6ga
A Comparative Study of Various Machine Learning Algorithms in Fog Computing
2021
International Journal of Advanced Trends in Computer Science and Engineering
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Fog computing, as a complementing technology for Cloud answers the issues of latency and connectivity in the Cloud. Being novel idea in itself, Fog computing offers promising future growth. ...
This paper presents a comparative study of various machine-learning algorithms and their applications in the Fog network. ...
Concurrently, the huge volumes of data being generated are a big question for scalability. Such challenges require dynamic resource provisioning and intelligent approaches. ...
doi:10.30534/ijatcse/2021/155032021
fatcat:qwyp4mecobantjdsol5uwfii2i
Towards Autonomic Service Provisioning Systems
2010
2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
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2011 pre-print arXiv:1102.3699v1 fatcat:qzmg2u76vbb6rkpnzrikighctu
This paper discusses our experience in building SPIRE, an autonomic system for service provision. ...
Demand and performance statistics are collected, while traffic parameters are estimated in order to make dynamic decisions concerning server allocation and admission control. ...
It was partly funded by British Telecom, under the research project QOSP (Quality of Service Provisioning). ...
doi:10.1109/ccgrid.2010.125
dblp:conf/ccgrid/Mazzucco10
fatcat:63lpjsbnrrbrhcybt6xj7ovcpi
A Survey on Mobile Edge Computing: The Communication Perspective
[article]
2017
arXiv
pre-print
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2017 pre-print arXiv:1701.01090v3 fatcat:fddwjvgj7zbfrdf4yuxin3l7xqOther Versions
Driven by the visions of Internet of Things and 5G communications, recent years have seen a paradigm shift in mobile computing, from the centralized Mobile Cloud Computing towards Mobile Edge Computing ...
This paper provides a comprehensive survey of the state-of-the-art MEC research with a focus on joint radio-and-computational resource management. ...
The vast resources available in the Clouds can then be leveraged to deliver elastic computing power and storage to support resource-constrained end-user devices. ...
arXiv:1701.01090v4
fatcat:txpdpkp4irhibf6btbzvgth4n4
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