Resource Scheduling Policy for Dynamic Virtual Machine Allocation in Cloud (original) (raw)
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"Survey on Dynamic Resource Allocation Using Virtual Machines for Cloud Computing Environment"
The emergence of cloud computing infrastructures brings new ways to build and manage computing system with the flexibility offer by virtualization technologies. In this context, this focuses on two principal objective First leveraging virtualization and cloud computing infrastructures to build distributed large scale computing platforms from multiple cloud providers allowed to run software requiring large amounts of computation power. Secondly developing mechanisms to make these infrastructures more dynamic. This mechanism provides inter cloud live migration offing new ways to exploit the inherent dynamic nature of distributed clouds. Cloud computing allows business customers to scale up and down their resource usage based on needs. Many of the gains in the cloud model come from resource multiplexing through virtualization technology. In this paper we proposed system that uses virtualization technology to allocate data center resources dynamically based on application demands and support green computing by optimizing the number of servers in use. We introduce the concept of "skewness" to measure the unevenness in the multi-dimensional resource utilization of a server. By minimizing skewness, we can add different types of workloads nicely and improve the overall utilization of server resource. We present a set of heuristics that prevent overload in the system effectively while saved energy used. Trace driven simulation and experimental results demonstrate that our algorithm achieves good performance.
Advanced Computing: An International Journal, 2012
This paper proposes a Dynamic resource allocation method for Cloud computing. Cloud computing is a model for delivering information technology services in which resources are retrieved from the internet through web-based tools and applications, rather than a direct connection to a server. Users can set up and boot the required resources and they have to pay only for the required resources. Thus, in the future providing a mechanism for efficient resource management and assignment will be an important objective of Cloud computing. In this project we propose a method, dynamic scheduling and consolidation mechanism that allocate resources based on the load of Virtual Machines (VMs) on Infrastructure as a service (IaaS). This method enables users to dynamically add and/or delete one or more instances on the basis of the load and the conditions specified by the user. Our objective is to develop an effective load balancing algorithm using Virtual Machine Monitoring to maximize or minimize different performance parameters(throughput for example) for the Clouds of different sizes (virtual topology depending on the application requirement).
Implementing Virtual Machines for Dynamic Resource Allocation in Cloud Computing Environment
International Conference on Information Engineering, Management and Security 2014, 2014
To scale up and down the resource usage of stake holders such as customers, the cloud computing environment is used. In this paper, we present a system that uses virtualization technology to allocate data center resources dynamically based on application demands, the green computing is supported by optimizing the number of servers in use. We introduce the concept of “skewness” to measure the unevenness in the multidimensional resource utilization of a server. By minimizing skewness, we can combine different types of workloads nicely and improve the overall utilization of server resources. We develop a set of heuristics that prevent overload in the system effectively while saving energy used. Trace driven simulation and experiment results demonstrate that our algorithm achieves good performance.
Dynamic Resource Allocation using Virtual Machines for Cloud Computing Environment
Cloud computing allows business customers to scale up and down their resource usage based on needs. Many of the touted gains in the cloud model come from resource multiplexing through virtualization technology. In this paper, we present a system that uses virtualization technology to allocate data center resources dynamically based on application demands and support green computing by optimizing the number of servers in use. We introduce the concept of "skewness" to measure the unevenness in the multi-dimensional resource utilization of a server. By minimizing skewness, we can combine different types of workloads nicely and improve the overall utilization of server resources. We develop a set of heuristics that prevent overload in the system effectively while saving energy used. Trace driven simulation and experiment results demonstrate that our algorithm achieves good performance.
Dynamic Resource Allocation Scheme in Cloud Computing
Cloud Computing environment provisions the supply of computing resources on the basis of demand, as and when needed. It builds upon advances of virtualisation and distributed computing to support cost efficient usage of computing resources, emphasizing on resource scalability and on-demand services. It allows business outcomes to scale up and down their resources based on needs. Managing the customer demand creates the challenges of on-demand resource allocation. Virtual Machine (VM) technology has been employed for resource provisioning. It is expected that using virtualized environment will reduce the average job response time as well as executes the task according to the availability of resources. Hence VMs are allocated to the user based on characteristics of the job. Effective and dynamic utilization of the resources in cloud can help to balance the load and avoid situations like slow run of systems. This paper mainly focuses on allocation of VM to the user, based on analyzing the characteristics of the job. Main principle of this work is that low priority jobs (deadline of the job is high) should not delay the execution of high priority jobs (deadline of the job is low) and to dynamically allocate VM resources for a user job within deadline
Cloud computing is on demand service as it offers dynamic, flexible and efficient resource allocation for reliable and guaranteed services in pay-as-you-use manner to the customers. In Cloud computing multiple cloud users can request number of cloud services simultaneously, so there must be a facility provided such that all resources are obtainable to requesting user in efficient, well organised and proper manner to satisfy their need without compromising on the performance of the resources. Cloud computing has its era and become a new age technology that has got huge importance and potentials in enterprises and markets. Clouds can make it possible to access applications and associated data from anywhere, anytime. One of the major challenges in cloud computing is related to optimizing the resources being allocated. The other challenges of resource allocation are meeting customer demands, data center management and application requirements. Here the design, implementation, and evaluation of a resource management system for cloud computing services are presented. The system multiplexes virtual to physical resources adaptively based on the changing demand. The skewness metric is used to combine Virtual Machines (VMs) with different resource characteristics appropriately so that the capacities of servers are well utilized. The algorithm helps to achieve both overload avoidance and green computing for systems with multi resource constraints.
Efficient Load Balancing and Dynamic Resource Allocation in Cloud Environment
2015
The overall performance of cloud is influenced by the scheme adopted to balance the load among the Virtual Machines. An efficient way to handle both dependent and independent tasks is the need of the hour. The problem is to optimize cloud utilization by devising a strategy which handles task scheduling and load balancing effectively. Various algorithms exist for load balancing and scheduling in cloud. The existing algorithms are studied. An algorithm which includes parameters such as processing capabilities of Virtual Machines, current load on the Virtual Machines, job lengths and job interdependencies are considered to propose an algorithm which outperforms the other existing algorithms. Results prove that the proposed algorithm performs better than the existing ones in terms of execution time, number of tasks delayed before getting executed in a VM and the number of task migrations.
A Review- Dynamic Resource Allocation using Virtual Machines for Cloud Computing Environment
2014
A B S T R A C T A cloud computing infrastructure is a complex system with a large number of shared resources. Cloud resource management requires complex policies and decisions for multi-objective optimization. Cloud computing is an effective computing model since it allows for the provision of resources on demand. In the resource management problems the Dynamic resource allocation problem is one of the most important problems. To present a better solution for solving the problem of dynamic resource allocation in a cloud computing environment, the proposed system represents the skewness algorithm to determine the unevenness in the multi-dimensional resource utilization of server. In this paper system uses virtualization technology to allocate data centre resources dynamically based on application demands and support green computing by optimizing the number of servers in use.
DYNAMIC RESOURCE ALLOCATION FOR CLOUD COMPUTING ENVIRONMENT USING VIRTUAL MACHINES
Abstract: Cloud computing allows business customers to scale up and scale down their resource usage based on their needs. Many of the gains in the cloud come from resource multiplexing through virtualization technology. In this paper, we present a system that uses virtualization technology to allocate data center resources dynamically based on application demands and support green computing by optimizing the number of servers in use. We develop a set of heuristics that prevent overload in the system effectively while saving the energy. Keywords: Cloud Computing, Resource Management, Virtualization, Green Computing. Title: DYNAMIC RESOURCE ALLOCATION FOR CLOUD COMPUTING ENVIRONMENT USING VIRTUAL MACHINES Author: B. SIREESHA, E. VENKATA RAMANA International Journal of Computer Science and Information Technology Research, ISSN 2348-120X (online) Research Publish Journals