Going Back and Forth: Efficient Multi-deployment and Multi-snapshotting on Clouds

Going Back and Forth: Efficient Multi-deployment and Multi-snapshotting on Clouds

Dr. Ashiquee Rasool Mohammad

Contact

Syeda Farhath Begum

Contact

Dr. Kahalid Mohiuddin

Contact

α King Khalid University

Going Back and Forth: Efficient Multi-deployment and Multi-snapshotting on Clouds

Article Fingerprint

ReserarchID

CSTB0DH1J

Going Back and Forth: Efficient Multi-deployment and Multi-snapshotting on Clouds Banner

AI TAKEAWAY

Connecting with the Eternal Ground

Abstract

Cloud computing has changed the way people think of using resources. Especially, the IaaS (Infrastructure as a Service) allows users to make use of unlimited resources in pay per use fashion. Virtualization is the technology based on which the cloud service providers are able to provide or share computational resources and data centers to users. Though this approach is practical, it throws certain challenges in terms of designing and development of IaaS middleware. One such challenge is the need for deploying thousands of VM instances to meet the requirements of growing number of users. In the process another challenge is to snapshot multiple images and persisting them towards management tasks like stopping VMs temporarily and resuming them as and when required. The presence of data centers in different configurations enables the simultaneous deployment and snapshotting is important. This capability should be coupled with another feature that is the whole mechanism should be hypervisor independent. To achieve this, a new virtual file system is proposed in this paper. This is basing on lazy transfer scheme with VM optimization and object versioning that takes care of multi-snapshotting and multi-deployment simultaneously and effectively. The experiments have shown that the new filing system and related techniques have improved performance, and bandwidth utilization is reduced by 90%.

References

24 Cites in Article

Reference Format

Amazon elastic block storage (ebs.
Nimbus.
Opennebula (2023). MODELING OF A PRIVATE NETWORK-SERVER ENVIRONMENT USING OPENNEBULA TECHNOLOGY.
Amazon Elastic Compute Cloud (EC2).
(2020). Amazon Simple Storage Service (S3).
P Carns,W Ligon,R Ross,R Thakur (2000). Pvfs: A parallel file system for Linux clusters.
Benoit Claudel,Guillaume Huard,Olivier Richard (2009). TakTuk, adaptive deployment of remote executions.
Giuseppe Decandia,Deniz Hastorun,Madan Jampani,Gunavardhan Kakulapati,Avinash Lakshman,Alex Pilchin,Swaminathan Sivasubramanian,Peter Vosshall,Werner Vogels (2007). Dynamo.
M Gagn´e (2007). Cooking with Linux-still searching for the ultimate Linux distro?.
J Hansen,E Jul (2010). Scalable virtual machine storage using local disks.
M Hibler,L Stoller,J Lepreau,R Ricci,C Barb (2003). Fast, scalable disk imaging with Frisbee.
Katarzyna Keahey,Mauricio Tsugawa,Andrea Matsunaga,Jose Fortes (2009). Sky Computing.
H Lagar-Cavilla,J Whitney,A Scannell,P Patchin,S Rumble,E De Lara,M Brudno,M Satyanarayanan (2009). SnowFlock: Rapid virtual machine cloning for cloud computing.
Xingang Liu,Jinpeng Huai,Qin Li,Tianyu Wo (2010). Network state consistency of virtual machine in live migration.
Paul Marshall,Kate Keahey,Tim Freeman (2010). Elastic Site: Using Clouds to Elastically Extend Site Resources.
D Meyer,G Aggarwal,B Cully,G Lefebvre,M Feeley,N Hutchinson,A Warfield (2008). Parallax: Virtual disks for virtual machines.
B Nicolae (2010). BlobSeer: Towards E_cient Data Storage Management for Large-Scale, Distributed Systems.
Bogdan Nicolae,Gabriel Antoniu,Luc Bougé,Diana Moise,Alexandra Carpen-Amarie (2011). BlobSeer: Next-generation data management for large scale infrastructures.
B Nicolae,D Moise,G Antoniu,L Boug´e,M Dorier (2010). Blobseer: Bringing high throughput under heavy concurrency to Hadoop map/reduce applications.
Darrell Reimer,Arun Thomas,Glenn Ammons,Todd Mummert,Bowen Alpern,Vasanth Bala (2008). Opening black boxes.
Alejandra Rodriguez,Jesus Carretero,Borja Bergua,Felix Garcia (2009). Resource selection for fast large-scale Virtual Appliances Propagation.
Mendel Rosenblum,John Ousterhout (1992). The design and implementation of a log-structured file system.
Romain Wartel,Tony Cass,Belmiro Moreira,Ewan Roche,Manuel Guijarro,Sebastien Goasguen,Ulrich Schwickerath (2010). Image Distribution Mechanisms in Large Scale Cloud Providers.
K Keahey,T Freeman (2008). Science clouds: Early experiences in cloud computing for scientific applications.

Download References

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. Ashiquee Rasool Mohammad. 2012. \u201cGoing Back and Forth: Efficient Multi-deployment and Multi-snapshotting on Clouds\u201d. Global Journal of Computer Science and Technology - B: Cloud & Distributed GJCST-B Volume 12 (GJCST Volume 12 Issue B10): .

More Citation Formats

Select Citation Style:

Download Citation

Download Article

GJCST Volume 12 Issue B10
Pg. 1- 9

Explore Journals Explore Volume Read This Issue

Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

cloning Cloud Design Cloud Storage Performance Empirical Study lazy propagation multi-deployment Multi-snapshotting versioning VM images

Submission ReceivedApril 8, 2012
Peer Review Double Blind
Handling Editor
Accepted May 2, 2012
Published May 15, 2012

Version of record

v1.2

Issue date

July 7, 2012

Language

Experiance in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

View in VR

Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

View in 3D

Article Matrices

Total Score: 133

Country: Saudi Arabia

Subject: Global Journal of Computer Science and Technology - B: Cloud & Distributed

Authors: Dr. Ashiquee Rasool Mohammad, Syeda Farhath Begum, Dr. Kahalid Mohiuddin (PhD/Dr. count: 2)

View Count (all-time): 306

Total Views (Real + Logic): 10451

Total Downloads (simulated): 2694

Publish Date: 2012 07, Sat

Monthly Totals (Real + Logic):

Month 1: 29 views
Month 2: 50 views
Month 3: 61 views
Month 4: 59 views
Month 5: 26 views
Month 6: 43 views
Month 7: 16 views
Month 8: 39 views
Month 9: 38 views
Month 10: 34 views
Month 11: 26 views
Month 12: 45 views
Month 13: 23 views
Month 14: 13 views
Month 15: 45 views
Month 16: 43 views
Month 17: 36 views
Month 18: 23 views
Month 19: 18 views
Month 20: 38 views
Month 21: 42 views
Month 22: 41 views
Month 23: 29 views
Month 24: 28 views
Month 25: 40 views
Month 26: 39 views
Month 27: 24 views
Month 28: 28 views
Month 29: 37 views
Month 30: 30 views
Month 31: 36 views
Month 32: 37 views
Month 33: 33 views
Month 34: 34 views
Month 35: 41 views
Month 36: 38 views
Month 37: 17 views
Month 38: 13 views
Month 39: 38 views
Month 40: 23 views
Month 41: 27 views
Month 42: 34 views
Month 43: 30 views
Month 44: 16 views
Month 45: 44 views
Month 46: 27 views
Month 47: 29 views
Month 48: 26 views
Month 49: 35 views
Month 50: 30 views
Month 51: 29 views
Month 52: 19 views
Month 53: 23 views
Month 54: 20 views
Month 55: 24 views
Month 56: 34 views
Month 57: 29 views
Month 58: 14 views
Month 59: 31 views
Month 60: 32 views
Month 61: 23 views
Month 62: 12 views
Month 63: 17 views
Month 64: 36 views
Month 65: 36 views
Month 66: 26 views
Month 67: 20 views
Month 68: 15 views
Month 69: 29 views
Month 70: 36 views
Month 71: 22 views
Month 72: 45 views
Month 73: 33 views
Month 74: 20 views
Month 75: 26 views
Month 76: 38 views
Month 77: 32 views
Month 78: 25 views
Month 79: 32 views
Month 80: 41 views
Month 81: 39 views
Month 82: 40 views
Month 83: 43 views
Month 84: 39 views
Month 85: 19 views
Month 86: 32 views
Month 87: 22 views
Month 88: 27 views
Month 89: 25 views
Month 90: 20 views
Month 91: 39 views
Month 92: 30 views
Month 93: 30 views
Month 94: 35 views
Month 95: 25 views
Month 96: 21 views
Month 97: 42 views
Month 98: 26 views
Month 99: 33 views
Month 100: 28 views
Month 101: 32 views
Month 102: 24 views
Month 103: 44 views
Month 104: 43 views
Month 105: 41 views
Month 106: 19 views
Month 107: 11 views
Month 108: 32 views
Month 109: 39 views
Month 110: 29 views
Month 111: 31 views
Month 112: 30 views
Month 113: 42 views
Month 114: 35 views
Month 115: 42 views
Month 116: 24 views
Month 117: 26 views
Month 118: 45 views
Month 119: 25 views
Month 120: 36 views
Month 121: 34 views
Month 122: 36 views
Month 123: 41 views
Month 124: 39 views
Month 125: 42 views
Month 126: 22 views
Month 127: 28 views
Month 128: 26 views
Month 129: 28 views
Month 130: 37 views
Month 131: 25 views
Month 132: 24 views
Month 133: 39 views
Month 134: 42 views
Month 135: 35 views
Month 136: 26 views
Month 137: 31 views
Month 138: 40 views
Month 139: 28 views
Month 140: 25 views
Month 141: 22 views
Month 142: 16 views
Month 143: 33 views
Month 144: 41 views
Month 145: 42 views
Month 146: 26 views
Month 147: 31 views
Month 148: 12 views
Month 149: 19 views
Month 150: 23 views
Month 151: 35 views
Month 152: 27 views
Month 153: 31 views
Month 154: 34 views
Month 155: 33 views
Month 156: 35 views
Month 157: 21 views
Month 158: 35 views
Month 159: 26 views
Month 160: 18 views
Month 161: 42 views
Month 162: 37 views
Month 163: 57 views
Month 164: 25 views
Month 165: 48 views
Month 166: 40 views
Month 167: 36 views

Total Views: 10451

Total Downloads: 2694

2026 Trends

Published Article

Our website is actively being updated, and changes may occur frequently. Please clear your browser cache if needed. For feedback or error reporting, please email [email protected]