Nebula: Distributed Edge Cloud for Data Intensive Computing

Ryden, Mathew; Oh, Kwangsung; Chandra, Abhishek; Weissman, Jon

doi:10.1109/ic2e.2014.34

Cited by 66 publications

(47 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The cloud community, however, has been pushing the edge-cloud concept even further through the Fog Computing and Nebula paradigms [64]- [67]. The latter refers to a dispersed cloud infrastructure that uses (voluntary) edge resources for both computation and data storage.…”

Section: B Ultra-reliable Edge-cloudmentioning

confidence: 99%

5G-Enabled Tactile Internet

Simsek

Aijaz

Dohler

et al. 2016

IEEE J. Select. Areas Commun.

707

430

View full text Add to dashboard Cite

Abstract-The long-term ambition of the Tactile Internet is to enable a democratization of skill, and how it is being delivered globally. An integral part of this is to be able to transmit touch in perceived real-time, which is enabled by suitable robotics and haptics equipment at the edges, along with an unprecedented communications network. The fifth generation (5G) mobile communications systems will underpin this emerging Internet at the wireless edge. This paper presents the most important technology concepts which lay at the intersection of the larger Tactile Internet and the emerging 5G systems. The paper outlines the key technical requirements and architectural approaches for the Tactile Internet, pertaining to wireless access protocols, radio resource management aspects, next generation core networking capabilities, edge-cloud and edge-AI capabilities. The paper also highlights the economic impact of the Tactile Internet as well as a major shift in business models for the traditional telecommunications ecosystem.

show abstract

Section: B Ultra-reliable Edge-cloudmentioning

confidence: 99%

5G-Enabled Tactile Internet

Simsek

Aijaz

Dohler

et al. 2016

IEEE J. Select. Areas Commun.

707

430

View full text Add to dashboard Cite

show abstract

“…We also intend to investigate how the approach behaves in presence of different cloud platforms (e.g., federated clouds [21]), services, and alternative ways of expressing the SLOs. Finally, another possible follow-up work is to extend our approach to decentralized cloud systems to improve the scalability and resistance to dynamism, which may contribute to support new emerging cloud paradigms such as volunteer clouds [26] and edge clouds [7,25].…”

Section: Discussionmentioning

confidence: 99%

OptiSpot: minimizing application deployment cost using spot cloud resources

Dubois

Casale

2016

Cluster Comput

View full text Add to dashboard Cite

The spot instance model is a virtual machine pricing scheme in which some resources of cloud providers are offered to the highest bidder. This leads to the formation of a spot price, whose fluctuations can determine customers to be overbid by other users and lose the virtual machine they rented. In this paper we propose OptiSpot, a heuristic to automate application deployment decisions on cloud providers that offer the spot pricing model. In particular, with our approach it is possible to determine: (i) which and how many resources to rent in order to run a cloud application, (ii) how to map the application components to the rented resources, and (iii) what spot price bids to use to minimize the total cost while maintaining an acceptable level of performance. To drive the decision making, our algorithm combines a multi-class queueing network model of the application with a Markov model that describes the stochastic evolution of the spot price and its influence on virtual machine reliability. We show, using a model developed for a real enterprise application and historical traces of the Amazon EC2 spot instance prices, that our heuristic finds low cost solutions that indeed guarantee the required levels of performance. The performance of our heuristic method is compared to that of nonlinear programming and shown to markedly accelerate the finding of low-cost optimal solutions.

show abstract

“…With Nebula, Ryden at al. [26] propose a grid-inspired distributed edge store. Nebula centrally controls data placement in the so-called dataStore master.…”

Section: Related Workmentioning

confidence: 99%

Towards a replication service for data-intensive fog applications

Hasenburg

Grambow

Bermbach

2020

Proceedings of the 35th Annual ACM Symposium on Applied Computing

View full text Add to dashboard Cite

The combination of edge and cloud in the fog computing paradigm enables a new breed of dataintensive applications. These applications, however, have to face a number of fog-specific challenges which developers have to repetitively address for every single application.In this paper, we propose a replication service specifically tailored to the needs of data-intensive fog applications that aims to ease or eliminate challenges caused by the highly distributed and heterogeneous environment fog applications operate in. Furthermore, we present our prototypical proof-of-concept implementation FBase that we have made available as open source. ABSTRACTThe combination of edge and cloud in the fog computing paradigm enables a new breed of data-intensive applications. These applications, however, have to face a number of fog-specific challenges which developers have to repetitively address for every single application.In this paper, we propose a replication service specifically tailored to the needs of data-intensive fog applications that aims to ease or eliminate challenges caused by the highly distributed and heterogeneous environment fog applications operate in. Furthermore, we present our prototypical proof-of-concept implementation FBase that we have made available as open source.

show abstract

Nebula: Distributed Edge Cloud for Data Intensive Computing

Cited by 66 publications

References 21 publications

5G-Enabled Tactile Internet

5G-Enabled Tactile Internet

OptiSpot: minimizing application deployment cost using spot cloud resources

Towards a replication service for data-intensive fog applications

Contact Info

Product

Resources

About