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A Framework for Allocating Server Time to Spot and On-demand Services in Cloud Computing [article]

Xiaohu Wu, Francesco De Pellegrini, Guanyu Gao, Giuliano Casale
2019 arXiv   pre-print
In this paper, we provide the first integral framework for sharing the time of servers between on-demand and spot services while optimally pricing spot instances.  ...  An approach is to provide both on-demand and spot services on shared servers. The former allows users to access servers on demand at a fixed price and users occupy different periods of servers.  ...  In this paper, we propose a discrete-time framework that has such a feature for allocating the time of servers between on-demand and spot services.  ... 
arXiv:1902.01321v2 fatcat:hjzjueiwozesrbaw4hnaonohaq

A Framework for Allocating Server Time to Spot and On-Demand Services in Cloud Computing

Xiaohu Wu, Francesco De Pellegrini, Guanyu Gao, Giuliano Casale
2019 ACM Transactions on Modeling and Performance Evaluation of Computing Systems  
In this paper, we provide the first integral framework for sharing the time of servers between on-demand and spot services while optimally pricing spot service.  ...  Cloud computing delivers value to users by facilitating their access to servers in periods when their need arises. An approach is to provide both on-demand and spot services on shared servers.  ...  In this paper, we propose a discrete-time framework that has such a feature for allocating the time of servers between on-demand and spot services.  ... 
doi:10.1145/3366682 fatcat:4lhagfdyxjftdbg2ns37bclnyi

Energetic Resource Allocation Framework Using Virtualization in Cloud

Ms.K. Guna, Ms.P. Saranya
2014 International Journal of Engineering Trends and Technoloy  
Through this algorithm to achieve migrations of VMs on the basis of overloading that occurs a physical server in cloud data centres.  ...  To analyse the behaviour of a Cloud data centres: utilization, availability, waiting time, and responsiveness.  ...  adapt to changes in the demand for cloud services. 3) Scalability: The Resource allocation process must be scalable both in the number of machines in the cloud and the number of sites that the cloud hosts  ... 
doi:10.14445/22315381/ijett-v9p235 fatcat:7cs6czsfhbh5xmw4bqitphdari

Survey on Dynamic Resource Allocation Strategy in Cloud Computing Environment

N. Krishnaveni
2013 International Journal of Computer Applications Technology and Research  
This is an on demand service because it offers dynamic flexible resource allocation and guaranteed services in pay as-you-use manner to public.  ...  Cloud computing becomes quite popular among cloud users by offering a variety of resources.  ...  Dynamic Resource Allocation for Spot Markets in Clouds As a demand of each VM type can fluctuate independently at run time, it becomes a problem to dynamically allocate data center resources to each spot  ... 
doi:10.7753/ijcatr0206.1019 fatcat:ekhlsdspxbdbhlwhbkampq5t4y

Dynamic Resource Allocation for Overload Avoidance and Green Cloud Computing

Saima Israil, Rajeev Pandey, Uday Chourasia
2015 International Journal of Computer Applications  
It also focuses on energy consumption issue of cloud data centres and devised technique for lower energy consumption in order to achieve green cloud computing.  ...  This paper addresses the existing techniques for resource allocation in cloud computing and proposes the dynamic resource allocation technique to mitigate overloads.  ...  Software-as-a- OVERVIEW OF THE CLOUD RESOURCE ALLOCATION PROBLEM In cloud computing environments, efficient resource provisioning and management is a challenging task for cloud service provider.  ... 
doi:10.5120/ijca2015906234 fatcat:2zi3cyfycrfbhgaw43qrxlam2y

The Aneka platform and QoS-driven resource provisioning for elastic applications on hybrid Clouds

Rodrigo N. Calheiros, Christian Vecchiola, Dileban Karunamoorthy, Rajkumar Buyya
2012 Future generations computer systems  
Cloud computing alters the way traditional software systems are built and run by introducing a utilitybased model for delivering IT infrastructure, platforms, applications, and services.  ...  In this paper, we describe how Aneka, a platform for developing scalable applications on the Cloud, supports such a vision by provisioning resources from different sources and supporting different application  ...  Acknowledgment The authors would like to thank Xingchen Chu for his contribution on the research and development of Aneka, which motivated the work presented in this paper.  ... 
doi:10.1016/j.future.2011.07.005 fatcat:hfqpomhbszatbb7u7wsc743lxi

Optimizing Resource Allocation in IAAS Clouds

Y.Rajesh Kumar, K Sirisha
2014 International Journal of Computer Trends and Technology  
At any given time, all users might not need on-demand access. Keeping this in mind a strategy is required in order to optimize resource allocation.  ...  The service model which provides on-demand access to computing resources is known as infrastructure-asa-service (IaaS). The IaaS allows cloud users to access resources in pay per use fashion.  ...  Our work uses the current demand for on-demand user VMs to determine the availability for backfill VMs, whereas Amazon bases availability of spot instances on a spot price.  ... 
doi:10.14445/22312803/ijctt-v9p113 fatcat:uovvydfzdzadpfwnkhqp2ksj4y

An Efficient Framework to Improve QoS of CSP using Enhanced Minimal Resource Optimization based Scheduling Algorithm

Ravi Mahadevan, Neelamegam Anbazhagan
2018 Indonesian Journal of Electrical Engineering and Computer Science  
The method avoids delay in Request-Response model in cloud environment. To avoid overload for resource allocation, the proposed design utilized optimized scheduling policy.  ...  Proposed mechanisms utilized optimized service brokering policy to reduce the delay response in cloud environment.  ...  The technique imagines that the IaaS provider provides a payment only what you utilize strategy on demand and spot virtual machines.  ... 
doi:10.11591/ijeecs.v12.i3.pp1179-1186 fatcat:i66myec3nrcb7papm3qkafrwre

Performance Enhancement System for the Cloud with Multi Factor Resource Allocation Technique

Dr. D Ravindran
2016 International Journal Of Engineering And Computer Science  
Resource allocation management in a cloud computing environment is the vital problem.  ...  Resource allocation models, QoS, time, conditions of the request for access to services are factors to be focused.  ...  Job scheduler The client submits their requests for a server which is present in the IaaS cloud environment, the requests are placed in the queue and sent to the server.  ... 
doi:10.18535/ijecs/v5i8.35 fatcat:rqkgvpkbvne7biuqenbqagkw34

Portfolio-driven Resource Management for Transient Cloud Servers

Prateek Sharma, David Irwin, Prashant Shenoy
2017 Proceedings of the ACM on Measurement and Analysis of Computing Systems  
Cloud providers have begun to offer their surplus capacity in the form of low-cost transient servers, which can be revoked unilaterally at any time.  ...  While the low cost of transient servers makes them attractive for a wide range of applications, such as data processing and scientific computing, failures due to server revocation can severely degrade  ...  This work is supported in part by NSF grants #1422245 and #1229059, a Google faculty research award, and by Amazon Web Services (AWS) Cloud Credits.  ... 
doi:10.1145/3084442 dblp:journals/pomacs/SharmaIS17 fatcat:e4tjqcnzlbc7fabb7rrc4xy56u

Allocation of Resource Dynamically in Cloud Computing Environment Using Virtual Machines

Ligade Sunil Subhash, Dr K P Thooyamani
2017 International Journal of Advancements in Technology  
In this research paper, we present a system that uses virtualization technology to allocate data centre resources dynamically based on application demands and support green computing by optimizing the  ...  Cloud computing allows business customers to scale up and down their resource usage based on needs.  ...  Conclusion We have presented the design, implementation, and evaluation of a resource management system for cloud computing services.  ... 
doi:10.4172/0976-4860.1000193 fatcat:qopfuk63l5b3vaoptkw27q6zlm

A Survey on Cloud Computing Elasticity

Guilherme Galante, Luis Carlos E. de Bona
2012 2012 IEEE Fifth International Conference on Utility and Cloud Computing  
Elasticity is a key feature in the cloud computing context, and perhaps what distinguishes this computing paradigm of the other ones, such as cluster and grid computing.  ...  Initially, we propose a classification for elasticity mechanisms, based on the main features found in the analysed commercial and academic solutions.  ...  [27] developed DejaVu, a framework for management of virtualized resources in cloud computing services.  ... 
doi:10.1109/ucc.2012.30 dblp:conf/ucc/GalanteB12 fatcat:4fq5ns4ubrdqvpghqhic3odixi

Dynamic Chunk Allocation and Migration in Cloud Environment

Deepali R., B. M.
2016 International Journal of Computer Applications  
It allocates the data center resource to users on demand and minimizes the number of servers. If a load on server increases at that time user cannot get the required result within a time.  ...  Cloud computing allows the all users to upload and download the resources as per their need. For allocating the resources cloud uses the virtualization concept.  ...  This system contains a set of servers used for running different application. Predictor is used to predict the load on server and future demand of VMS [1] .  ... 
doi:10.5120/ijca2016911594 fatcat:4o7pdvduvbgrhmonxrjt667ckq

SipaaS: Spot instance pricing as a Service framework and its implementation in OpenStack

Adel Nadjaran Toosi, Farzad Khodadadi, Rajkumar Buyya
2015 Concurrency and Computation  
Among these strategies, dynamic pricing is a time-based and price discrimination scheme that allows the service provider to vary the price in real-time in response to various factors such as market demands  ...  This paper presents the implementation of a framework called Spot instance pricing as a Service (SipaaS) that supports an auction mechanism to price and allocate virtual machine instances.  ...  The authors would like to thank the CLOUDS lab members in particular Safiollah Heidari, Atefeh Khosravi, Nikolay Grozev, Yaser Mansouri, Le Tan Chanh Nguyen, Deepak Poola, and Yali Zhao for their participation  ... 
doi:10.1002/cpe.3749 fatcat:scvpvq64qjhzho6j2dzw5hkkhe

A Survey on Resource Allocation in Cloud Computing

Samah Alnajdi, Maram Dogan, Ebtesam Al-Qahtani
2016 International Journal on Cloud Computing Services and Architecture  
Cloud computing is an on-demand service resource which includes applications to data centers on a pay-per-use basis.  ...  In order to allocate these resources properly and satisfy users' demands, an efficient and flexible resource allocation mechanism is needed.  ...  Cloud computing attempts to provide cheap and easy access to computational resources, which include servers, networks, storage, and, possibly, services.  ... 
doi:10.5121/ijccsa.2016.6501 fatcat:jmjffzw3pfhb3i57u5spaauxiq
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