Technical solutions to resources allocation for distributed virtual machine systems (original) (raw)

Management of Virtual Machine as an Energy Conservation in Private Cloud Computing System

MATEC Web of Conferences, 2016

Cloud computing is a service model that is packaged in a base computing resources that can be accessed through the Internet on demand and placed in the data center. Data center architecture in cloud computing environments are heterogeneous and distributed, composed of a cluster of network servers with different capacity computing resources in different physical servers. The problems on the demand and availability of cloud services can be solved by fluctuating data center cloud through abstraction with virtualization technology. Virtual machine (VM) is a representation of the availability of computing resources that can be dynamically allocated and reallocated on demand. In this study the consolidation of VM as energy conservation in Private Cloud Computing Systems with the target of process optimization selection policy and migration of the VM on the procedure consolidation. VM environment cloud data center to consider hosting a type of service a particular application at the instance VM requires a different level of computing resources. The results of the use of computing resources on a VM that is not balanced in physical servers can be reduced by using a live VM migration to achieve workload balancing. A practical approach used in developing OpenStack-based cloud computing environment by integrating Cloud VM and VM Placement selection procedure using OpenStack Neat VM consolidation. Following the value of CPU Time used as a fill to get the average value in MHz CPU utilization within a specific time period. The average value of a VM's CPU utilization in getting from the current CPU_time reduced by CPU_time from the previous data retrieval multiplied by the maximum frequency of the CPU. The calculation result is divided by the making time CPU_time when it is reduced to the previous taking time CPU_time multiplied by milliseconds.

A Survey on Resource Management in Cloud Computing Environment

Nowadays cloud computing is very popular for offering services over the Internet. The very important advantage of cloud computing is the ability to provision resources on demand. This avoids the problems of over-provisioning and under-provisioning which are commonly seen with organizations that have widely variable requirements due to increase/decrease, seasonal high and low workload etc. Resource allocation policies decide the amount of resource to be allocated to a particular or set of virtual machines (VMs). This resource allotment policy can also update the dynamically. For implementing prioritization, it require to provide more resource to a specific virtual machine, compared to other virtual machine The resources offered may include memory consumption, storage, CPU processing power, IT services, and so on. Many of the touted gain in cloud computing that comes from resource multiplexing through virtualization technology.

Cloud Computing Virtualization of Resources Allocation for Distributed Systems

Journal of Applied Science and Technology Trends (JASTT), 2020

Cloud computing is a new technology which managed by a third party "cloud provider" to provide the clients with services anywhere, at any time, and under various circumstances. In order to provide clients with cloud resources and satisfy their needs, cloud computing employs virtualization and resource provisioning techniques. The process of providing clients with shared virtualized resources (hardware, software, and platform) is a big challenge for the cloud provider because of over-provision and under-provision problems. Therefore, this paper highlighted some proposed approaches and scheduling algorithms applied for resource allocation within cloud computing through virtualization in the datacenter. The paper also aims to explore the role of virtualization in providing resources effectively based on clients' requirements. The results of these approaches showed that each proposed approach and scheduling algorithm has an obvious role in utilizing the shared resources of the cloud data center. The paper also explored that virtualization technique has a significant impact on enhancing the network performance, save the cost by reducing the number of Physical Machines (PM) in the datacenter, balance the load, conserve the server's energy, and allocate resources actively thus satisfying the clients' requirements. Based on our review, the availability of Virtual Machine (VM) resource and execution time of requests are the key factors to be considered in any optimal resource allocation algorithm. As a results of our analyzing for the proposed approaches is that the requests execution time and VM availability are main issues and should in consideration in any allocating resource approach.

A Brief Introduction of Resource Management Techniques in Cloud Computing Environment

—Cloud computing has become a new era technology that has huge potentials in enterprises and markets. By using this technology, Cloud user can access applications and associated data from anywhere. It has many application for example, Companies are able to rent recourses from cloud for storage and other computational purposes so that infrastructure cost can be reduced significantly. For managing large amount of virtual machine request ,the cloud providers require an efficient resource scheduling algorithm. Here in this paper we summarize different recourse management strategies and its impacts in cloud system we try to analyze the resource allocation strategies based on various matrices and it points out that some of the strategies are efficient than others in some aspects. So the usability of each of the methods can varied according to their application area .

RESOURCE SHARING FOR HYPERVISOR BASED ARCHITECTURE IN VIRTUALIZATION ENVIRONMENT

In data administration resource sharing has a crucial liability. At the same time we should be conscious about the enslavement factors. In addition virtual platforms can be demoralized as part of gaining the information about a system. As a result the corruption of files can cause crash status of the system. Traditional systems are followers of this observable fact. It yield to the reality that present mechanisms are not proficient to cover all the dependency factors so that the demand of an innovative structure is important. As a result here we initiate a new system named resource sharing. It can be considered as a customized system that can enhance the needs of end users. Resource sharing can have link establishment between various internal and external systems. The medium of correlation can be an independent factor here. For an internal system it can make use of virtual platform, where as for the external it can make use both the virtual and physical connection establishments. The privacy of a user is considered with higher priority and bound them during the usage. Since the usage is in personalized manner, it would be capable of boosting overall performance of the system. For every system security is a major issue. Data security is ensured in such a way that supervision governance .The main advantage here is it can recover the data from distant location during the disaster of the local system. The whole mechanism is governed by the shell sheltered algorithm. Effective usage of the system can result better performance, security and simplified computation module so that terminologies becomes simpler.

Heuristic Based Resource Allocation for Cloud Using Virtual Machines

2015

Cloud computing allows to estimate the scale of resources for business customers .We achieve this through Virtualization Technology. Virtualization can be provided significant benefits in data centers by enabling virtual machine to eliminate hotspot. Virtualization used in scenarios-load balancing, online maintenance and proactive fault, power management. In Existing System VM Monitors like Xen provide a mechanism for mapping VM to physical resources. This mapping hidden from Cloud Users.VM live migration technology makes it possible to change the mapping between VM and PM while applications are running. Proposed system presents the implementation of an automatic resource management system that achieves a balance between the two goals-Avoidance Overload, Green Computing. By this we avoid Overload and introduce the concept of skewness to measure the uneven utilization of a Server.

A Desirable Strategy for Resource Allocation using Virtual Machine in Cloud

International Journal of Grid and Distributed Computing, 2016

Cloud computing is a facsimile of legalizing ubiquitous, expedient, on-demand network access to a shared pool of configurable computing resources that can be rapidly furnished and released with negligible management effort. It relies on sharing computing resources rather than having local servers or personal devices to handle applications. The resource allocation, still lack on sustaining tools that enable developers to compare different resource allocation strategies in cloud computing. In this paper we initiate the concept of "skewness" to measure the bumpy utilization of a server. By minimizing skewness, we can improve the overall utilization of servers in the face of multidimensional resource constraints. Here we use skewness metric to combine VMs with different resource characteristics suitably so that the capacities of servers are well utilized.

dynamic resource allocation using virtual machine for cloud computing

Cloud computing is the delivery of resources and services on an on-demand basis over a network. It is the evolution of Parallel computing, Distributed computing and Grid computing virtualization technologies which define the structure of modern era. 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 of the resources and RSA algorithm in order to provide security for monitoring results and encryption and decryption purpose .

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