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With the technology improvements, managing a large amount of multimedia objects such as audio, video, picture or a combination of these has become possible. Multimedia data needs more real time storage and high data transfer than traditional textual and numeric data. In addition to these requirements, significant amount of computation is demanded for multimedia applications to serve many users at...
Cloud computing is used to provide memory and processing unit over the internet on pay-per-use basis. During the initial stage, the cloud computing environment faced complex problems due to multiplexing number of requests with available resources. The current state of the art is researchers have numerous solutions to resolve issues in handling CPU and RAM but, to the best of our knowledge; they have...
With the rapid growth of the cloud industry in recent years, energy consumption of warehouse-scale datacenters has become a major concern. Energy-aware Virtual Machine consolidation has proven to be one of the most effective solutions for tackling this problem. Among the sub-problems of VM consolidation, VM placement is the trickiest and can be treated as a bin packing problem which is NP-hard, hence,...
A cloud service selection model of the cloud service management system was proposed based on dynamic trustworthiness in order to select a trusted service which satisfies user's request from a lot of services with similar or same functions. A service selection algorithm was proposed in order to select the closest classification for the user's requester. A trust evaluation mechanism was introduced,...
The revolution in utility computing paradigm is brought by Cloud computing which replaces the traditional software installation. The cloud computing service models are basically classified into three parts i.e. software as a service (Saas), Platform as a service (Paas) and Infrastructure as a service (Iaas). There are four deployment models followed by Cloud computing i.e. Public Cloud, Private Cloud,...
Resource management in cloud infrastructures is one of the most challenging problems due to the heterogeneity of resources, variability of the workload and scale of data centers. Efficient management of physical and virtual resources can be achieved considering performance requirements of hosted applications and infrastructure costs. In this paper, we present a self-adaptive resource management system...
Cloud computing has overtaken the traditional computing technologies by providing virtualized resources on demand. Cloud data centers consume a huge amount of power and emit much carbon dioxide, resulting in two challenging problems: high energy consumption and global warming. Our prior work has derived an enhanced energy model that considered energy consumed in computing, migration and host reactivating,...
Cloud Computing is an emerging technology which provides on-demand service, and it offers dynamic computing infrastructure and allocation of resources in an optimal way. The users demand to access resources is increasing now-a-day, due to this it becomes very hard to allocate cloud resources efficiently and accurately to the customers that satisfy requirements of customers or usersand preserve the...
Efficient energy use has become a critical issue for designing and managing of cloud data centers. Virtualization is a key technology for reducing energy cost and improving resource utilization in data centers. One of the challenges faced by virtualized data centers is to decide how to pack VMs on the least number of physical machines. This paper presents a VM management framework which is based on...
Cloud data centers consume an enormous amount of energy. Virtual Machine (VM) migration technology can be applied to reduce energy consumption by consolidating VMs onto the minimal number of servers and turn idle servers into power-saving modes. While most existing energy models consider mainly computing energy, an enhanced energy consumption model is formulated, which includes energy consumption...
Cloud computing provides user-requested services that are reliable, dynamic, flexible and efficient. In order to offer such guaranteed services to cloud users, effective resource allocation strategies must be implemented. The methodology used should also confirm to the Service Level Agreement (SLA) drawn between the customer and the service provider. This work presents a study of such resource allocation...
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