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2013 Journal of Computer Science  
SaaS providers utilize resources of internal data centres or rent resources from a public Infrastructure as a Service (IaaS) provider in order to serve their customers.  ...  To surmount these drawbacks, we propose pioneering admission control and scheduling algorithms for SaaS providers to effectively utilize public Cloud resources to maximize profit by minimizing cost and  ...  Fig. 1 . 1 A high level system model for application service scalability using multiple IaaS providers in Cloud 1.6.  ... 
doi:10.3844/jcssp.2013.1283.1294 fatcat:hctnaxe5grcifm5qkzdoyhrxxm


Vaghela Ankita .
2013 International Journal of Research in Engineering and Technology  
In Cloud computing multiple cloud users can request number of cloud services simultaneously.  ...  Cloud computing is bringing a revolution in computing environment replacing traditional software installations, licensing issues into complete on-demand services through internet.  ...  Cloud computing provide three types of services [7] , including software as a service (SaaS),platform as a service (PaaS) and infrastructure as a service (IaaS).  ... 
doi:10.15623/ijret.2013.0205005 fatcat:oac4k2jv35akjjlstapgbianmq

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.  ...  One of the main focuses of research scholars is how to develop optimal solutions for this process. In this paper, a literature review on proposed dynamic resource allocation techniques is introduced.  ...  For a multi-cloud environment, Soodeh Farokhi [5] developed a framework for resource allocation in a multi-cloud system from the perspective of the SaaS level, agreed SLA, and service provider conditions  ... 
doi:10.5121/ijccsa.2016.6501 fatcat:jmjffzw3pfhb3i57u5spaauxiq

Using Time Discretization to Schedule Scientific Workflows in Multiple Cloud Providers

Thiago A. L. Genez, Luiz F. Bittencourt, Edmundo R. M. Madeira
2013 2013 IEEE Sixth International Conference on Cloud Computing  
In this scenario, resources from multiple infrastructure-as-a-service (IaaS) cloud providers can be leased to fulfill application requirements.  ...  In this paper we deal with the problem of scheduling workflow applications in multiple IaaS providers, where the workflow scheduler must determine on which computational resource each component of a workflow  ...  ACKNOWLEDGMENT The authors would like to thank CAPES, CNPq, and FAPESP (2012/02778-6) for the financial support, and IBM for providing the CPLEX tools.  ... 
doi:10.1109/cloud.2013.141 dblp:conf/IEEEcloud/BittencourtM13 fatcat:cn63cqlznjctdop23hso3lthui

Multi-dimensional scheduling in cloud storage systems

Zhihao Yao, Ioannis Papapanagiotou, Robert D. Callaway
2015 2015 IEEE International Conference on Communications (ICC)  
Hence, most cloud storage providers refrain from describing Service Level Objectives (SLOs).  ...  In this paper, we present the design and implementation of a new scheduling algorithm for block storage systems that has the following advantages over the currently implemented scheduler in OpenStack.  ...  ACKNOWLEDGMENT The authors would like to thank Ben Swartzlander, architect at NetApp, for his useful feedback.  ... 
doi:10.1109/icc.2015.7248353 dblp:conf/icc/YaoPC15 fatcat:jt7knffhovd2tka7ipjedztxre

Cloud Brokerage: A Systematic Survey [article]

Abdessalam Elhabbash, Faiza Samreen, James Hadley, Yehia Elkhatib
2018 arXiv   pre-print
The proliferation of cloud providers and provisioning levels has opened a space for cloud brokerage services.  ...  Brokers intermediate between cloud customers and providers to assist the customer in selecting the most suitable cloud service, helping to manage the dimensionality, heterogeneity, and uncertainty associated  ...  Acknowledgement This work is partly supported by the Adaptive Brokerage for the Cloud (ABC) project, UK EPSRC grant EP/R010889/1.  ... 
arXiv:1805.09018v1 fatcat:cabu6juegbdmfathtlxzhzu7hm

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,  ... 
doi:10.1186/s13174-014-0011-3 fatcat:shmoifzl4vhqtjtj6h55uoucnu

Cloud Brokerage

Abdessalam Elhabbash, Faiza Samreen, James Hadley, Yehia Elkhatib
2019 ACM Computing Surveys  
caster University, UK Background-The proliferation of cloud services has opened a space for cloud brokerage services.  ...  Brokers intermediate between cloud customers and providers to assist the customer in selecting the most suitable service, helping to manage the dimensionality, heterogeneity, and uncertainty associated  ...  ACKNOWLEDGMENTS This work is partly supported by the Adaptive Brokerage for the Cloud (ABC) project, UK EPSRC grant EP/R010889/1.  ... 
doi:10.1145/3274657 fatcat:ga6holsakfdojocablugwap7a4

Allocation of Virtual Machines in Cloud Data Centers—A Survey of Problem Models and Optimization Algorithms

Zoltán Ádám Mann
2015 ACM Computing Surveys  
Virtual machines (VMs) are either provided directly to the customers in case of an Infrastructure-as-a-Service (IaaS) provider, or are used to wrap the provisioned applications in case of Software-as-a-Service  ...  Beside using its own data center, a cloud provider can -in times of extremely high demand -use VMs from other providers as well, for example in a cloud federation or hybrid cloud setting [26] .  ...  The other dimension refers to whether the service is provisioned in-house (private cloud), by a public provider (public cloud), or a combination of the two (hybrid cloud).  ... 
doi:10.1145/2797211 fatcat:fdaa5k5jqncnddd7vxjwtn6g4i

An Exploratory Study of Cloud Service Level Agreements - State of the Art Review

2015 KSII Transactions on Internet and Information Systems  
Cloud Service level agreements (SLA) act as a key liaison between consumers and providers on renting Anything as a Service (AaaS).  ...  However in reality, cloud SLA is not satisfying the parties involved because of its inherent complex nature and issues. Also currently most of the agreements are unilateral to favour the provider.  ...  CONTRAIL [34] is a multi-level SLA interaction model for federated cloud in which multiple IaaS providers are involved. SLA is spanned across the providers and is linked to offer a customized SLA.  ... 
doi:10.3837/tiis.2015.03.001 fatcat:cerm4thaovaqxohchz572aj6c4

An Effective Method FOR QOS -Constrained Work Flow Scheduling of Cloud Services

Sabarinathan. N
2011 International Journal of MC Square Scientific Research  
Cloud computing is the most recent promising trending that provides hardware infrastructures and software applications as a service.  ...  The first proposal is; QoS needed by the customers for selecting a Cloud service provider is based on: Accountability, Agility, Assurance of Service, Security and Privacy, and Usability where the drawback  ...  Assurance-this quality indicates the possibilities of a Cloud service performing as expected or promise in the SLA.  ... 
doi:10.20894/ijmsr. fatcat:povro6qrcfhivnwgi56qqqldhu

EH-GC: An Efficient and Secure Architecture of Energy Harvesting Green Cloud Infrastructure

2017 Sustainability  
In order to achieve efficient green cloud computing, the architecture utilizes a genetic algorithm for proper virtual machine allocation, taking into consideration less Service Level Agreement (SLA) violations  ...  The EH-GC is basically focused on harvesting the heat energy produced by data centers in the Infrastructure-as-a-Service (IaaS) infrastructure.  ...  The paper studied a state-of-the-art technique for power saving in IaaS, in order to achieve green cloud computing.  ... 
doi:10.3390/su9040673 fatcat:ywij2dakvvf4heqmrgzputo4oq

Online Bi-Objective Scheduling for IaaS Clouds Ensuring Quality of Service

Andrei Tchernykh, Luz Lozano, Uwe Schwiegelshohn, Pascal Bouvry, Johnatan E. Pecero, Sergio Nesmachnow, Alexander Yu. Drozdov
2015 Journal of Grid Computing  
First, to provide effective guidance in choosing a good strategy, we present a joint analysis of two conflicting goals based on the degradation in performance.  ...  This paper focuses on a bi-objective experimental evaluation of online scheduling in the Infrastructure as a Service model of Cloud computing regarding income and power consumption objectives.  ...  In the IaaS service model, providers usually do not charge for individual jobs but for resource reservations regardless whether the customer uses the provided resources or not.  ... 
doi:10.1007/s10723-015-9340-0 fatcat:j4x5pmswcrhm3i3c2oxbmrt6wa

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  
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  ...  Multitenancy allows cloud service providers to better utilise computing resources, supporting the development of more flexible services to customers based on economy of scale, reducing overheads and infrastructural  ...  SLA, (2) mean execution time of multiple workflow instances and (3) save the execution cost for service providers [13] .  ... 
doi:10.1145/2666581.2666585 dblp:conf/sigsoft/RuGK14 fatcat:niwmzw7umzdhbktn6lsqludzwe

Efficient Hybrid Genetic Based Multi Dimensional Host Load Aware Algorithm for Scheduling and Optimization of Virtual Machines

T. Thiruvenkadam, V. Karthikeyani
2014 Journal of Telematics and Informatics  
Here we present an efficient hybrid genetic based host load aware algorithm for scheduling and optimization of virtual machines in a cluster of Physical hosts.  ...  Placing the VM in the appropriate host is necessary for ensuring the effective resource utilization and minimizing the datacenter cost as well as power.  ...  Therefore a new algorithm is needed in order to provide better service to the cloud users and at the same time reducing the operational cost to the service provider.  ... 
doi:10.12928/jti.v2i1.29-42 fatcat:7geg7rpx4bhdrmlq6tnseqormu
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