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Service Level Agreement based Scheduling Techniques in Cloud: A Survey
2015
International Journal of Computer Applications
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Nowadays enterprises need to maintain plenty of applications accessing by millions of users all over the world. ...
In this paper, different framework and techniques proposed by the different authors for providing a quality of service and maintaining SLA are discussed. ...
At the second stage, within each cluster Idle-Server Monitoring algorithm monitors a set of servers in its cluster. When it receives a task, algorithm checks for any idle server in its cluster. ...
doi:10.5120/ijca2015907358
fatcat:oyfhbiawzffnzat6iz7jzcgcdi
Comprehensive Analysis of Resource Allocation and Service Placement in Fog and Cloud Computing
2021
International Journal of Advanced Computer Science and Applications
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Among the existing survey articles on Cloud and Fog, issues like scalability and time-critical requirements of the Internet of Things (IoT) are rarely focused on. ...
The success of any computing architecture depends on how efficiently its resources are allocated to the service requests. ...
-QoS aware resource Elasticity framework for the multi-tier web application. ...
doi:10.14569/ijacsa.2021.0120308
fatcat:mmftlutfa5dstphhsaxfvvu6ti
STAR: SLA-aware Autonomic Management of Cloud Resources
2017
IEEE Transactions on Cloud Computing
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of cloud 47 services. 48 QoS-aware aspect involves the capacity of a service to be 49 aware of its behavior to ensure the elasticity, high availabil-50 ity, reliability of service, cost, time etc. as ...
Thus, there is a need of SLA-aware autonomic 61 resource management technique which considers all the 62 important QoS parameters like availability, cost, latency, 63 execution time etc. to reduce SLA ...
Our proposed SLA-223 aware autonomic resource management technique (STAR) considers possible QoS parameters of SLA and measures 225 the impact of QoS parameters on SLA violation rate and 226 thus addresses ...
doi:10.1109/tcc.2017.2648788
fatcat:gtnlng47qvebtgqmjwpnbm5tky
QoE4CLOUD: A QoE-driven multidimensional framework for cloud environments
2012
2012 International Conference on Telecommunications and Multimedia (TEMU)
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Cloud Operators, in order to respond effectively to the QoS requirements of cloud applications, are obliged to apply over-provisioning policies. ...
In this context, this paper proposes a unified QoE-aware management framework, directly targeting to cloud computing environments. ...
Publication [32] proposes a middleware architecture for enabling SLA-driven clustering of QoS-aware application servers. ...
doi:10.1109/temu.2012.6294736
dblp:conf/temu/KafetzakisKKK12
fatcat:jnu35vhoofe5pgzopddx6qzvqq
RESOURCE SCHEDULING IN CLOUD ENVIRONMET: A SURVEY
2016
Advances in Science and Technology Research Journal
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With its growing application and popularization, IT companies are rapidly deploying distributed data centers globally, posing numerous challenges in terms of scheduling of resources under different administrative ...
This perspective brings out certain vital factors for efficient scheduling of resources providing a wide genre of characteristics, diversity in context of level of service agreements and that too with ...
SLA violation
rate
Aneka platform,
Amazon EC2
Aneka due to its capability of allocating reso-
urces dynamically seems to be a good option
for satisfying application QoS requirements
[60]
A ...
doi:10.12913/22998624/62746
fatcat:dyky2j5kxbaulllhmtcidt6cjm
InterCloud: Utility-Oriented Federation of Cloud Computing Environments for Scaling of Application Services
[chapter]
2010
Lecture Notes in Computer Science
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The proposed InterCloud environment supports scaling of applications across multiple vendor clouds. ...
services to achieve reasonable QoS levels. ...
We acknowledge all members of Melbourne CLOUDS Lab (especially William Voorsluys) for their contributions to InterCloud investigation. ...
doi:10.1007/978-3-642-13119-6_2
fatcat:zez423zfjrfxxnx6a42dfb3sem
SLA-oriented resource provisioning for cloud computing: Challenges, architecture, and solutions
2011
2011 International Conference on Cloud and Service Computing
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The proposed architecture supports integration of marketbased provisioning policies and virtualisation technologies for flexible allocation of resources to applications. ...
This paper presents vision, challenges, and architectural elements of SLA-oriented resource management. ...
ACKNOWLEDGEMENTS We thank our colleagues who contributed towards the development of Aneka platform, especially Christian Vecchiola, Dileban Karunamoorthy, and Xingchen Chu. ...
doi:10.1109/csc.2011.6138522
dblp:conf/IEEEcsc/BuyyaGC11
fatcat:noveg3ykifhpjpfvovdo5w2yy4
Q-clouds
2010
Proceedings of the 5th European conference on Computer systems - EuroSys '10
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In particular, the consolidation of multiple customer applications onto multicore servers introduces performance interference between collocated workloads, significantly impacting application QoS. ...
In addition, we utilize this functionality to allow applications to specify multiple levels of QoS as application Q-states. ...
Enabling QoS-Aware Clouds The Q-Clouds system is designed to support QoS-aware management of cloud hosted applications under performance interference effects. ...
doi:10.1145/1755913.1755938
dblp:conf/eurosys/NathujiKG10
fatcat:qdrihj5wanhdxfg2a4ngdzpiza
Power and performance management of virtualized computing environments via lookahead control
2008
Cluster Computing
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Experiments using the Trade6 enterprise application show that a server cluster managed by the controller conserves, on average, 22% of the power required by a system without dynamic control while still ...
By dynamically provisioning virtual machines, consolidating the workload, and turning servers on and off as needed, data center operators can maintain the desired quality-of-service (QoS) while achieving ...
Experimental results using IBM's Trade6 application, driven by a time-varying workload, show that the cluster, when managed using the proposed LLC approach saves, on average, 22% in powerconsumption costs ...
doi:10.1007/s10586-008-0070-y
fatcat:ss4z55yu2zc23jbnsjocxr6wna
A Survey on Resource Scheduling in Cloud Computing: Issues and Challenges
2016
Journal of Grid Computing
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Resource scheduling in cloud is a challenging job and the scheduling of appropriate resources to cloud workloads depends on the QoS requirements of cloud applications. ...
In cloud environment, heterogeneity, uncertainty and dispersion of resources encounters problems of allocation of resources, which cannot be addressed with existing resource allocation policies. ...
[47] described QoS aware resource scheduling technique i.e. EASY (Energy Aware reconfiguration of software Systems) to reduce usage of power. ...
doi:10.1007/s10723-015-9359-2
fatcat:cyhh4lnslfb6lhfcdif2pydkba
Power and Performance Management of Virtualized Computing Environments Via Lookahead Control
2008
2008 International Conference on Autonomic Computing
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Experiments using the Trade6 enterprise application show that a server cluster managed by the controller conserves, on average, 22% of the power required by a system without dynamic control while still ...
By dynamically provisioning virtual machines, consolidating the workload, and turning servers on and off as needed, data center operators can maintain the desired quality-of-service (QoS) while achieving ...
Experimental results using IBM's Trade6 application, driven by a time-varying workload, show that the cluster, when managed using the proposed LLC approach saves, on average, 22% in powerconsumption costs ...
doi:10.1109/icac.2008.31
dblp:conf/icac/KusicKHKJ08
fatcat:y65nse62ovaphcxd7a6rhjkfna
Quality-of-service in cloud computing: modeling techniques and their applications
2014
Journal of Internet Services and Applications
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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 ...
We also review and classify their early application to some decision-making problems arising in cloud QoS management. ...
For instance, an SLA-aware capacity allocation mechanism for cloud applications is derived in [47] using an M/G/1 PS queue as the QoS model. ...
doi:10.1186/s13174-014-0011-3
fatcat:shmoifzl4vhqtjtj6h55uoucnu
The EPOC Project - Energy Proportional and Opportunistic Computing System
2015
Proceedings of the 4th International Conference on Smart Cities and Green ICT Systems
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With the emergence of the Future Internet and the dawning of new IT models such as cloud computing, the usage of data centers (DC), and consequently their power consumption, increase dramatically. ...
As a consequence, power management becomes one of the main challenges for DC infrastructures and more generally for large-scale distributed systems. ...
ACKNOWLEDGMENTS The author acknowledges the support of the Comin-Labs Labex. ...
doi:10.5220/0005487403880394
dblp:conf/smartgreens/BeldiceanuFGHJL15
fatcat:o2lbzw5kvbfivkpjgdqhwt7ry4
Enhancing data center sustainability through energy-adaptive computing
2012
ACM Journal on Emerging Technologies in Computing Systems
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The paper also presents some experimental results to show how the scheme can continue to meet quality of service (QoS) requirements of tasks under energy limitations. ...
The proposed control scheme adapts the assignments of tasks to servers in a way that can cope with the varying energy limitations. ...
They use their experimental results to build a framework for power -aware application placement in virtualized clusters. ...
doi:10.1145/2367736.2367744
fatcat:32nfcyglirgfndlssuqx6sakwe
Survey on Energy Efficiency in Cloud Computing
2016
Journal of Information Technology & Software Engineering
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Energy-efficient application-aware online provisioning for virtualized clouds anddata centers Energy-aware online provisioning approach for HPC applications on consolidated and virtualized computing platforms ...
GreenCloud project aimed at development of energy-efficient provisioning of Cloud resources, while meeting QoS requirements [7] . pMapper monitors the applications' behavior and resizes VMs according ...
doi:10.4172/2165-7866.1000164
fatcat:4b5texop6nab5ldql6zjpderdm
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