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Network function virtualization: State-of-the-art and research challenges
Network function virtualization (NFV) has drawn significant attention from both industry and
academia as an important shift in telecommunication service provisioning. By decoupling …
academia as an important shift in telecommunication service provisioning. By decoupling …
Multi-cloud: expectations and current approaches
D Petcu - Proceedings of the 2013 international workshop on …, 2013 - dl.acm.org
Using resources and services from multiple Clouds is a natural evolution from consuming
the ones from in-silo Clouds. Technological and administrative barriers are however slowing …
the ones from in-silo Clouds. Technological and administrative barriers are however slowing …
A comprehensive view of Hadoop research—A systematic literature review
Context: In recent years, the valuable knowledge that can be retrieved from petabyte scale
datasets–known as Big Data–led to the development of solutions to process information …
datasets–known as Big Data–led to the development of solutions to process information …
Exogeni: A multi-domain infrastructure-as-a-service testbed
This chapter describes ExoGENI, a multi-domain testbed infrastructure built using the ORCA
control framework. ExoGENI links GENI to two advances in virtual infrastructure (IaaS) …
control framework. ExoGENI links GENI to two advances in virtual infrastructure (IaaS) …
Consuming resources and services from multiple clouds: From terminology to cloudware support
D Petcu - Journal of Grid Computing, 2014 - Springer
The consumption of resources and services from multiple Clouds for reasons like high
availability, cost reductions or special features is a natural evolution from in-silo Clouds …
availability, cost reductions or special features is a natural evolution from in-silo Clouds …
A survey of fog computing and communication: current researches and future directions
In this survey, we discuss the evolution of distributed computing from the utility computing to
the fog computing, various research challenges for the development of fog computing …
the fog computing, various research challenges for the development of fog computing …
Traffic-aware geo-distributed big data analytics with predictable job completion time
Big data analytics has attracted close attention from both industry and academic because of
its great benefits in cost reduction and better decision making. As the fast growth of various …
its great benefits in cost reduction and better decision making. As the fast growth of various …
[HTML][HTML] Evaluation of distributed data processing frameworks in hybrid clouds
Distributed data processing frameworks (eg, Hadoop, Spark, and Flink) are widely used to
distribute data among computing nodes of a cloud. Recently, there have been increasing …
distribute data among computing nodes of a cloud. Recently, there have been increasing …
GEODIS: towards the optimization of data locality-aware job scheduling in geo-distributed data centers
Today, data-intensive applications rely on geographically distributed systems to leverage
data collection, storing and processing. Data locality has been seen as a prominent …
data collection, storing and processing. Data locality has been seen as a prominent …
Improving Hadoop service provisioning in a geographically distributed cloud
With more data generated and collected in a geographically distributed manner, combined
by the increased computational requirements for large scale data-intensive analysis, we …
by the increased computational requirements for large scale data-intensive analysis, we …