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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...
With emerging use of real time communication (i.e., high band width videos, video calls etc.) and IoT, this become challenge to manage network and handle traffic. SDN is a technology which provides scalability and flexibility to network by decoupling of control plane and data plane. It is also difficult to allocate resources depending upon types of tasks and user requirements. SDN central controller...
This paper investigates the resource allocation mechanism in infrastructure as a service (Iaas) cloud computing, in which the resources are offered in the form of virtual machine (VM) instances to users based on the pay-as-you-go model. We aim to maximize the profit of cloud service provider (CSP) meanwhile ensure that the resources are utilized efficiently. We exploit the auction-based model and...
Computational resource allocation is a critical issue for the baseband unit (BBU) pool in a cloud radio access network (C-RAN). There are multiple resources in a BBU, including CPU, memory, disk, etc. The virtual machines (VMs) have diverse requirements along these resources to handle the baseband signal processing of corresponding remote radio units (RRUs). Consolidating VMs to BBUs based on single...
In the large-scale Wireless Metropolitan Area Network (WMAN) consisting of many wireless Access Points (APs),choosing the appropriate position to place cloudlet is very important for reducing the user's access delay. For service provider, it isalways very costly to deployment cloudlets. How many cloudletsshould be placed in a WMAN and how much resource eachcloudlet should have is very important for...
Scientific and research applications, Big data applications work on huge data sets and often comprise of several tasks depending on the application. To execute these applications, Cloud technology is best suitable because of the scalability and elasticity features along with pay according to the usage of Cloud resources. Resource Allocation in a cloud is a significant area in Cloud Computing as the...
Resource allocation in data centers is a significant research area in cloud computing. A high-efficiency resource allocation strategy can save the operating cost for cloud service providers, and less amount of carbon dioxide emissions to the atmosphere. While the Service Level Agreement(SLA) of customers can be guaranteed. So the cloud providers have to deal with the cost-performance trade-off: the...
As the rate of information growth intensifies, so has the study of cloud resource management because cloud computing can generate powerful online resource convergence. This paper presents a new cloud computing resource allocation model based on combinatorial double auction mechanism (CDA-CCRA) for more effective resource utilization. The CDA-CCRA model can simultaneously satisfy the requirements of...
A precise Quality-of-Service in cloud can be offered if the traffic management uncertainty issues are addressed properly. It is also found that developing a cost-efficient load balancing technique in cloud environment is still an unsolved problem after reviewing the work done in load balancing till date. Hence, we introduce a novel algorithm called as SBLB i.e. Stochastic Based Load balancing that...
To solve the problem that traditional resource allocation scheme does not take influence of cloud user behavior on resource allocation into consideration and has a static authorization process, this paper proposes resource allocation scheme based on access control (RASBAC), which introduces behavior trust into authorization process. This paper designs a calculation algorithm of behavior trust based...
Recent growth of cloud computing has driven the development of Heterogeneous Cloud Federation (HCF) that has been considered an approach of improving the diversity of cloud systems by enable cloud users to select resources provided by different service providers. Using this mechanism can divide a complicate task into a group of sub-tasks in order to increase the efficiency of application executions,...
As a creative intelligent optimization algorithm, ant colony algorithm (ACO) has advantages such as good robustness, positive feedback and distributed computation. It is powerful to solve complicated combinational optimization problems. However, there are many defections existing in a single ACO such as slow solving speed at the primary stage, poor convergence accuracy and easy falling into a local...
With the growth of the Cloud Computing paradigm, a new challenge appears in the development of data centers: energy efficient load balancing in a dynamic and scalable environment with an undefined number of heterogeneous resources. In this context, considering that idle servers consume up to 60% of peak energy and the fact that usually the level of usage for a server is 20–30%, new load balancing...
Cloud computing is a dynamic, scalable and payper-use distributed computing model empowering designers to convey applications amid job designation and storage distribution. Cloud computing encourages to impart a pool of virtualized computer resource empowering designers to convey applications amid job designation and storage distribution. The cloud computing mainly aims to give proficient access to...
We consider the problem of scheduling VMs (Virtual Machines) in a multi-server system motivated by cloud computing applications. VMs arrive dynamically over time and require various amounts of resources (e.g., CPU, Memory, Storage, etc.) for the duration of their service. When a VM arrives, it is queued and later served by one of the servers that has sufficient remaining capacity to serve it. The...
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...
Distributed computing environment has become a new technology to execute large-scale applications and Cloud computing is one of these technologies. Resource allocation is one of the most important challenges in the Cloud Computing. The optimally assigning of the available resources to the needed cloud applications is known to be a NP complete problem. In this paper, we propose a new task scheduling...
Cloud computing provides attractive solutions for dispatching services over the Internet. With the increase of more and more Internet users, the job of allocating the resources by the cloud providers has become a challenging task. In this paper, a new technique called Drip Based Resource Allocation (DBRA) is proposed for allocating cloud resources or Physical Machines (PMs) to the incoming jobs using...
To solve two main problems in task scheduling algorithms for real-time stream processing: the lack of consideration for links between tasks and the lack of support for dynamic scenes, this paper presents a new task scheduling approach. First, it concludes common scheduling scenarios on platforms for real-time stream processing. Second, it proposes matrix model of describing the real-time task scheduling...
Improving energy efficiency is a multidimensional challenge regarding cloud computing environments management, which can directly reduce the operating costs and carbon dioxide emissions, while increasing the system reliability. An energy-efficient resource allocation approach for real-time cloud services is proposed in this paper. Several policies for provisioning of virtual machines (VMs) and hosts...
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