An Efficient On-Demand Virtual Machine Migration in Cloud Using Common Deployment Model

被引:9
作者
Saravanakumar, C. [1 ]
Priscilla, R. [1 ]
Prabha, B. [2 ]
Kavitha, A. [3 ]
Prakash, M. [4 ]
Arun, C. [5 ]
机构
[1] St Josephs Inst Technol, Dept Informat Technol, Chennai 600119, Tamil Nadu, India
[2] Loyola ICAM Coll Engn & Technol, Dept Informat Technol, Chennai 600034, Tamil Nadu, India
[3] M Kumarasamy Coll Engn, Dept Elect & Commun Engn, Karur 639113, India
[4] Karpagam Coll Engn, Data Sci & Analyt Ctr, Coimbatore 641032, Tamil Nadu, India
[5] RMK Coll Engn & Technol, Dept Elect & Commun Engn, Chennai 601206, Tamil Nadu, India
来源
COMPUTER SYSTEMS SCIENCE AND ENGINEERING | 2022年 / 42卷 / 01期
关键词
Cloud computing; virtualization; hypervisor; VM migration; virtual machine; ENERGY;
D O I
10.32604/csse.2022.022122
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Cloud Computing provides various services to the customer in a flexible and reliable manner. Virtual Machines (VM) are created from physical resources of the data center for handling huge number of requests as a task. These tasks are executed in the VM at the data center which needs excess hosts for satisfying the customer request. The VM migration solves this problem by migrating the VM from one host to another host and makes the resources available at any time. This process is carried out based on various algorithms which follow a predefined capacity of source VM leads to the capacity issue at the destination VM. The proposed VM migration technique performs the migration process based on the request of the requesting host machine. This technique can perform in three ways namely single VM migration, Multiple VM migration and Cluster VM migration. Common Deployment Manager (CDM) is used to support through negotiation that happens across the source host and destination host for providing the high quality service to their customer. The VM migration requests are handled with an exposure of the source host capabilities. The proposed analysis also uses the retired instructions with execution by the hypervisor to achieve high reliability. The objective of the proposed technique is to perform a VM migration process based on the prior knowledge of the resource availability in the target VM.
引用
收藏
页码:245 / 256
页数:12
相关论文
共 23 条
[1]   A Scalable Attribute-Based Access Control Scheme with Flexible Delegation cum Sharing of Access Privileges for Cloud Storage [J].
Ahuja, Rohit ;
Mohanty, Sraban Kumar .
IEEE TRANSACTIONS ON CLOUD COMPUTING, 2020, 8 (01) :32-44
[2]   Management of Container-based Genetic Algorithm Workloads over Cloud Infrastructure [J].
Alrefai, Thamer ;
Indrusiak, Leandro Soares .
17TH ACM INTERNATIONAL CONFERENCE ON COMPUTING FRONTIERS 2020 (CF 2020), 2020, :229-232
[3]   Catch Me if You Can: A Closer Look at Malicious Co-Residency on the Cloud [J].
Atya, Ahmed Osama Fathy ;
Qian, Zhiyun ;
Krishnamurthy, Srikanth V. ;
La Porta, Thomas ;
McDaniel, Patrick ;
Marvel, Lisa M. .
IEEE-ACM TRANSACTIONS ON NETWORKING, 2019, 27 (02) :560-576
[4]  
Balasaravanan K., 2021, INT J OPER RES INF S, V12, P1, DOI DOI 10.4018/IJORIS.20210701.OA4
[5]   Learn-as-you-go with Megh: Efficient Live Migration of Virtual Machines [J].
Basu, Debabrota ;
Wang, Xiayang ;
Hong, Yang ;
Chen, Haibo ;
Bressan, Stephane .
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2019, 30 (08) :1786-1801
[6]   Live Placement of Interdependent Virtual Machines to Optimize Cloud Service Profits and Penalties on SLAs [J].
Benbrahim, Salah-Eddine ;
Quintero, Alejandro ;
Bellaiche, Martine .
IEEE TRANSACTIONS ON CLOUD COMPUTING, 2019, 7 (01) :237-249
[7]   A Task-Centric Mobile Cloud-Based System to Enable Energy-Aware Efficient Offloading [J].
Boukerche, Azzedine ;
Guan, Shichao ;
De Grande, Robson Eduardo .
IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING, 2018, 3 (04) :248-261
[8]   Hierarchical, Portfolio Theory-Based Virtual Machine Consolidation in a Compute Cloud [J].
Hwang, Inkwon ;
Pedram, Massoud .
IEEE TRANSACTIONS ON SERVICES COMPUTING, 2018, 11 (01) :63-77
[9]   Scheduling Live Migration of Virtual Machines [J].
Kherbache, Vincent ;
Madelaine, Eric ;
Hermenier, Fabien .
IEEE TRANSACTIONS ON CLOUD COMPUTING, 2020, 8 (01) :282-296
[10]   Quantitative Modeling and Analytical Calculation of Elasticity in Cloud Computing [J].
Li, Keqin .
IEEE TRANSACTIONS ON CLOUD COMPUTING, 2020, 8 (04) :1135-1148