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Quality-of-service in cloud computing: modeling techniques and their applications

Danilo Ardagna, Giuliano Casale, Michele Ciavotta, Juan F Pérez, Weikun Wang
2014 Journal of Internet Services and Applications  
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

Punit Gupta, Sanjit Bhagat, Dinesh Kumar Saini, Ashish Kumar, Mohammad Alahmadi, Prakash Chandra Sharma
2022 Computers Materials & Continua  
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

Shahin Vakilinia, Behdad Heidarpour, Mohamed Cheriet
2016 IEEE Access  
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

Wei Ai, Kenli Li, Shenglin Lan, Fan Zhang, Jing Mei, Keqin Li, Rajkumar Buyya
2016 Scientific Programming  
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]

Seyedakbar Mostafavi, Vesal Hakami
2020 arXiv   pre-print
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

Rizwan Mian, Patrick Martin, Farhana Zulkernine, Jose Luis Vazquez-Poletti
2015 International Journal of Cloud Applications and Computing  
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

Ahmed Aliyu, Abdul Hanan Abdullah, Omprakash Kaiwartya, Yue Cao, Mohammed Joda Usman, Sushil Kumar, D. K. Lobiyal, Ram Shringar Raw
2017 IETE Technical Review  
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

John Thomas, Pam Mantri, A. Liu, J.T. Foley, E.C.N. Puik
2019 MATEC Web of Conferences  
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

Marios Avgeris, Dimitrios Dechouniotis, Nikolaos Athanasopoulos, Symeon Papavassiliou
2019 ACM Transactions on Internet Technology  
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

Yuyi Mao, Changsheng You, Jun Zhang, Kaibin Huang, Khaled B. Letaief
2017 IEEE Communications Surveys and Tutorials  
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]

Wesam Dawoud, Ibrahim Takouna, Christoph Meinel
2012 Communications in Computer and Information Science  
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

Stefano Sebastio, Michele Amoretti, Alberto Lluch Lafuente, Antonio Scala
2018 ACM Transactions on Modeling and Computer Simulation  
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  
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

Michele Mazzucco
2010 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing  
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]

Yuyi Mao, Changsheng You, Jun Zhang, Kaibin Huang, Khaled B. Letaief
2017 arXiv   pre-print
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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