Virtual Appliance Size Optimization with Active Fault Injection

Kecskeméti, Gábor; Terstyánszky, Gábor; Kacsuk, Péter

doi:10.1109/tpds.2011.309

Cited by 5 publications

(5 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Although it is less often thought of with respect to power reduction, virtual resource allocation plays a significant role in the process. In the research by Kecskemeti et al (2012) and , the authors investigate a number of different operational impacts related to incorrect VM sizing. These studies agree with the research by Batista et al (2015), that the majority of incorrectly sized VM's trend towards being oversized and therefore consume significantly more resources than required to maintain their QoS requirements.…”

Section: Resource Allocationmentioning

confidence: 99%

Power Reduction Methods in a Cloud Computing Environment

Segner¹

2021

Preprint

View full text Add to dashboard Cite

<p>With the explosive growth of cloud computing over the last two decades, there has been a corresponding increase in data center power requirements to meet those needs. While there are numerous additional aspects of data center power management that could be explored from an environmental and facilities perspective, this research study will primarily focus on the cloud computing infrastructure. The objective of this focus will be on answering the research question “What methods are available to optimize power consumption in a cloud computing environment?” </p><div><br></div>

show abstract

Section: Resource Allocationmentioning

confidence: 99%

Power Reduction Methods in a Cloud Computing Environment

Segner¹

2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Afterwards, We have identified two major uses for this algorithm: (i) to create MMVAs and (ii) to guarantee manageability. First, to create MMVAs one can use a virtual appliance size optimization technique [13], [14], [33]. These techniques can minimize an MVA until it solely offers management operations.…”

Section: Algorithm 1 Validator For the Management Capabilitiesmentioning

confidence: 99%

“…These repositories use the following operations on packages: (i) decompose, (ii) merge, (iii) replicate and (iv) destruct. The size optimization facility [33] uses active fault injection to remove virtual appliance contents until only the key functionality and its minimal support environment remains.…”

Section: Inside a Delivery Optimization Systemmentioning

confidence: 99%

See 1 more Smart Citation

Towards Efficient Virtual Appliance Delivery with Minimal Manageable Virtual Appliances

Kecskeméti

Terstyánszky

Kacsuk

et al. 2014

IEEE Trans. Serv. Comput.

Self Cite

View full text Add to dashboard Cite

Abstract-Infrastructure as a Service systems use virtual appliances to initiate virtual machines. As virtual appliances encapsulate applications and services with their support environment, their delivery is the most expensive task of the virtual machine creation. Virtual appliance delivery is a well-discussed topic in the field of cloud computing. However, for high efficiency, current techniques require the modification of the underlying IaaS systems. To target the wider adoptability of these delivery solutions, this article proposes the concept of minimal manageable virtual appliances (MMVA) that are capable of updating and configuring their virtual machines without the need to modify IaaS systems. To create MMVAs, we propose to reduce manageable virtual appliances until they become MMVAs. This research also reveals a methodology for appliance developers to incorporate MMVAs in their own appliances to enable their efficient delivery and wider adoptability. Finally, the article evaluates the positive effects of MMVAs on an already existing delivery solution: the Automated Virtual appliance creation Service (AVS). Through experimental evaluation, we present that the application of MMVAs not only increases the adoptability of a delivery solution but it also significantly improves its performance in highly-dynamic systems.

show abstract

“…In contrast, the optimization facility reduces virtual appliances by altering them prior storage. The optimization facility is discussed in detail in a separate paper [17].…”

Section: Architecturementioning

confidence: 99%

An approach for virtual appliance distribution for service deployment

Kecskeméti

Terstyánszky

Kacsuk

et al. 2011

Future Generation Computer Systems

Self Cite

View full text Add to dashboard Cite

Fulfilling a service request in highly dynamic service environments may require deploying a service. Therefore, the effectiveness of service deployment systems affects initial service response times. On Infrastructure as a Service (IaaS) cloud systems deployable services are encapsulated in virtual appliances. Services are deployed by instantiating virtual machines with their virtual appliances. The virtual machine instantiation process is highly dependent on the size and availability of the virtual appliance that is maintained by service developers. This article proposes an automated virtual appliance creation service that aids the service developers to create efficiently deployable virtual appliances -in former systems this task was carried out manually by the developer. We present an algorithm that decomposes these appliances in order to replicate the common virtual appliance parts in IaaS systems. These parts are used to reduce the deployment time of the service by rebuilding the virtual appliance of the service on the deployment target site. With the prototype implementation of the proposed algorithms we demonstrate the decomposition and appliance rebuilding algorithms on a complex web service.

show abstract

Virtual Appliance Size Optimization with Active Fault Injection

Cited by 5 publications

References 29 publications

Power Reduction Methods in a Cloud Computing Environment

Power Reduction Methods in a Cloud Computing Environment

Towards Efficient Virtual Appliance Delivery with Minimal Manageable Virtual Appliances

An approach for virtual appliance distribution for service deployment

Contact Info

Product

Resources

About