Shrinker: Improving Live Migration of Virtual Clusters over WANs with Distributed Data Deduplication and Content-Based Addressing

Riteau, Pierre; Morin, Christine; Priol, Thierry

doi:10.1007/978-3-642-23400-2_40

Cited by 47 publications

(32 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Some previous efforts have shown the potential memory sharing in virtualized systems. Some changes in working sets were inspected and their results demonstrated that changes were essential for the host to host VMs migration [11,26]. For the guest virtual machine with 512MB allocated Identify applicable sponsor/s here.…”

Section: B Improved Live Vm Migrationmentioning

confidence: 99%

Analyzing Virtual Machine Live Migration in Application Data Context

Shaikh¹,

Shaikh²,

Memon³

et al. 2016

ijacsa

View full text Add to dashboard Cite

Abstract-Virtualization plays a very vital role in the big cloud federation. Live and Real-time virtual machine migration is always a challenging task in virtualized environment, different approaches, techniques and models have already been presented and implemented by many re-searchers. The aim of this work is to investigate various parameters of Real-time and live data migration of virtual machines in stateful and data context at the application level. The migration of one virtual machine to another requires some time depending on the network bandwidth, guest availability, hardware limitation overcomes, resource allocation, server reallocation, hypervisor compatibility and many more. To enhance and ensure the performance and optimization of the time this work presents the some analysis in the form of different time stacks in multiple piece of data stored in the virtual machines. To optimize the migration time virtual machine checkpoints are used in order to achieve the better results by using the xen hypervisor memory technique which dynamically allows the migration of the configured memory while the allocated memory could be discarded for a while. By this the bad memory remains un-migrated only the good memory consisting the used data would be migrated by means of Real-time.

show abstract

Section: B Improved Live Vm Migrationmentioning

confidence: 99%

Analyzing Virtual Machine Live Migration in Application Data Context

Shaikh¹,

Shaikh²,

Memon³

et al. 2016

ijacsa

View full text Add to dashboard Cite

show abstract

“…It computes an efficient ordering of disk block transfers by analyzing I/O locality of workloads. Shrinker [19] developed a data deduplication mechanism for virtual cluster migration. It calculates a content-based hashing value for each memory page and disk block of all VMs, and skips to transfer the memory page or disk block with the same hash value between two sites.…”

Section: Wan-optimized Migration Systemsmentioning

confidence: 99%

A WAN-Optimized Live Storage Migration Mechanism toward Virtual Machine Evacuation upon Severe Disasters

Hirofuchi¹,

Tsugawa

Nakada³

et al. 2013

IEICE Trans. Inf. & Syst.

View full text Add to dashboard Cite

SUMMARYWide-area VM migration is a technology with potential to aid IT services recovery since it can be used to evacuate virtualized servers to safe locations upon a critical disaster. However, the amount of data involved in a wide-area VM migration is substantially larger compared to VM migrations within LAN due to the need to transfer virtualized storage in addition to memory and CPU states. This increase of data makes it challenging to relocate VMs under a limited time window with electrical power. In this paper, we propose a mechanism to improve live storage migration across WAN. The key idea is to reduce the amount of data to be transferred by proactively caching virtual disk blocks to a backup site during regular VM operation. As a result of pre-cached disk blocks, the proposed mechanism can dramatically reduce the amount of data and consequently the time required to live migrate the entire VM state. The mechanism was evaluated using a prototype implementation under different workloads and network conditions, and we confirmed that it dramatically reduces the time to complete a VM live migration. By using the proposed mechanism, it is possible to relocate a VM from Japan to the United States in just under 40 seconds. This relocation would otherwise take over 1500 seconds, demonstrating that the proposed mechanism was able to reduce the migration time by 97.5%.

show abstract

“…It is proved and stated that it is always advisable to do a migration at the VM level (Zhao and Huang, 2009;Riteau et al, 2011) than at the process level. Live migration of VMs allows a separation of concerns between the users and providers of a data centre (or a cloud).…”

Section: Introductionmentioning

confidence: 99%

Live migration of virtual machines with their local persistent storage in a data intensive cloud

Modi

Achar

Thilagam

2017

IJHPCN

View full text Add to dashboard Cite

Abstract:Processing large volumes of data to drive their core business has been the primary objective of many firms and scientific applications in these days. Cloud computing being a large-scale distributed computing paradigm can be used to cater for the needs of data intensive applications. There are various approaches for managing the workload on a data intensive cloud. Live migration of a virtual machine is the most prominent paradigm. Existing approaches to live migration use network attached storage where just the run time state needs to be transferred. Live migration of virtual machines with local persistent storage has been shown to have performance advantages like security, availability and privacy. This paper presents an optimised approach for migration of a virtual machine along with its local storage by considering the locality of storage access. Count map combined with a restricted block transfer mechanism is used to minimise the downtime and overhead. The solution proposed is tested by various parameters like bandwidth, write access patterns and threshold. Results show the improvement in downtime and reduction in overhead.

show abstract

Shrinker: Improving Live Migration of Virtual Clusters over WANs with Distributed Data Deduplication and Content-Based Addressing

Cited by 47 publications

References 20 publications

Analyzing Virtual Machine Live Migration in Application Data Context

Analyzing Virtual Machine Live Migration in Application Data Context

A WAN-Optimized Live Storage Migration Mechanism toward Virtual Machine Evacuation upon Severe Disasters

Live migration of virtual machines with their local persistent storage in a data intensive cloud

Contact Info

Product

Resources

About