Towards Virtual Machine Migration in Fog Computing

Bittencourt, Luiz F.; Lopes, Márcio Moraes; Petri, Ioan; Rana, Omer

doi:10.1109/3pgcic.2015.85

Cited by 146 publications

(117 citation statements)

References 22 publications

Supporting

Mentioning

110

Contrasting

Unclassified

Order By: Relevance

“…Various types of virtualization (or lack of it) is possible within the different resource types, as shown by the taxonomy in Figure . Clouds expose every resource “as a service” using fabric software for infrastructure management, and this in part is a reason for its success . Virtualization using hypervisors offers two key benefits: (1) custom OS and software environments, and (2) sandboxing of VMs from each other using hardware‐level support.…”

Section: The Taxonomymentioning

confidence: 99%

“…∘ Energy pricing The energy profile can influence the capability and availability of some resources . Cloud data centers reduce their energy footprint but to limit operational costs . The fog is expected to run off grid power and, like the cloud, be energy conscious to lower pricing .…”

Section: The Taxonomymentioning

confidence: 99%

“…On transient edge devices, CloneCloud uses trigger points to snapshot and migrate local state from the edge to its clone on the cloud to resume execution . Bittencourt et al migrated the user's data from one cloudlet to another based on the user mobility in order to minimize latency …”

Section: The Taxonomymentioning

confidence: 99%

“…However, their example applications do not use the cloud, and this degenerates to a client‐server model between the edges and their fog parent. The role of virtualization in enabling cloud computing is discussed by Bittencourt et al and they see a similar role for the fog as well. They conceived of a VM encapsulating all dependencies for an edge application or user to be hosted on a Cloudlet within one hop of the edge, with this VM migrating to remain at one‐hop distance from the edge user.…”

Section: Related Workmentioning

confidence: 99%

See 3 more Smart Citations

Characterizing application scheduling on edge, fog, and cloud computing resources

Varshney

Simmhan

2019

Softw Pract Exp

View full text Add to dashboard Cite

Summary Cloud computing has grown to become a popular distributed computing service offered by commercial providers. More recently, edge and fog computing resources have emerged on the wide‐area network as part of Internet of things (IoT) deployments. These three resource abstraction layers are complementary, and offer distinctive benefits. Scheduling applications on clouds has been an active area of research, with workflow and data flow models offering a flexible abstraction to specify applications for execution. However, the application programming and scheduling models for edge and fog are still maturing, and can benefit from learnings on cloud resources. At the same time, there is also value in using these resources cohesively for application execution. In this article, we offer a taxonomy of concepts essential for specifying and solving the problem of scheduling applications on edge, fog, and cloud computing resources. We first characterize the resource capabilities and limitations of these infrastructure and offer a taxonomy of application models, quality‐of‐service constraints and goals, and scheduling techniques, based on a literature review. We also tabulate key research prototypes and papers using this taxonomy. This survey benefits developers and researchers on these distributed resources in designing and categorizing their applications, selecting the relevant computing abstraction(s), and developing or selecting the appropriate scheduling algorithm. It also highlights gaps in literature where open problems remain.

show abstract

Section: The Taxonomymentioning

confidence: 99%

Section: The Taxonomymentioning

confidence: 99%

Section: The Taxonomymentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Characterizing application scheduling on edge, fog, and cloud computing resources

Varshney

Simmhan

2019

Softw Pract Exp

View full text Add to dashboard Cite

show abstract

“…Planning migration ahead of time will ensure that QoS violations do not occur and also reduces the overall network utilization . Decisions to migrate must be made considering the profits to both the provider and the users …”

Section: Fog Computing Aspectsmentioning

confidence: 99%

Elucidating the challenges for the praxis of fog computing: An aspect‐based study

Martin

Kandasamy

Chandrasekaran

et al. 2019

Int J Communication

View full text Add to dashboard Cite

Summary The evolutionary advancements in the field of technology have led to the instigation of cloud computing. The Internet of Things paradigm stimulated the extensive use of sensors distributed across the network edges. The cloud datacenters are assigned the responsibility for processing the collected sensor data. Recently, fog computing was conceptuated as a solution for the overwhelmed narrow bandwidth. The fog acts as a complementary layer that interplays with the cloud and edge computing layers, for processing the data streams. The fog paradigm, as any distributed paradigm, has its set of inherent challenges. The fog environment necessitates the development of management platforms that effectuates the orchestration of fog entities. Owing to the plenitude of research efforts directed toward these issues in a relatively young field, there is a need to organize the different research works. In this study, we provide a compendious review of the research approaches in the domain, with special emphasis on the approaches for orchestration and propose a multilevel taxonomy to classify the existing research. The study also highlights the application realms of fog computing and delineates the open research challenges in the domain.

show abstract

Addressing the Challenges in Federating Edge Resources

Baktır

Sonmez

Ersoy

et al. 2019

Fog and Edge Computing

View full text Add to dashboard Cite

Throughout this chapter, we use the general term "Edge" to refer to a collection of technologies that aim towards decentralizing data center resources for bringing computational resources closer to the end user. Mobile Cloud Computing (MCC), Cloudlets, Fog computing, Multi-access Edge Computing (MEC) can all be considered as instances of Edge computing [9]. Therefore, generally speaking, the principles discussed in this chapter can be broadly applied to the aforementioned technologies.The remainder of this chapter is organized in line with the above discussion and is as follows. Section 2.2 considers the networking challenge. Section 2.3 considers the management challenge. Section 2.4 presents the resource and modeling challenges. Section 2.5 concludes this chapter.

show abstract

Towards Virtual Machine Migration in Fog Computing

Cited by 146 publications

References 22 publications

Characterizing application scheduling on edge, fog, and cloud computing resources

Characterizing application scheduling on edge, fog, and cloud computing resources

Elucidating the challenges for the praxis of fog computing: An aspect‐based study

Addressing the Challenges in Federating Edge Resources

Contact Info

Product

Resources

About