Paper Info
Title
Operating Systems and Virtualization Frameworks: From Local to Distributed Similarities
Abstract
Virtualization technologies radically changed the way in which distributed architectures are exploited. With the contribution of VM capabilities and with the emergence of IaaS platforms, more and more frameworks tend to manage VMs across distributed architectures like operating systems handle processes on a single node. Taking into account that most of these frameworks follow a centralized model -- where roughly one node is in charge of the management of VMs -- and considering the growing size of infrastructures in terms of nodes and VMs, new proposals relying on more autonomic and decentralized approaches should be submitted. Designing and implementing such models is a tedious and complex task. However, as well as research studies on OSes and hyper visors are complementary at the node level, we advocate that virtualization frameworks can benefit from lessons learnt from distributed operating system proposals. In this article, we motivate such a position by analyzing similarities between OSes and virtualization frameworks. More precisely, we focus on the management of processes and VMs, first at the node level and then on a cluster scale. From our point of view, such investigations can guide the community to design and implement new proposals in a more autonomic and distributed way.
Year
DOI
Venue
2011
10.1109/PDP.2011.35
PDP
Keywords
Field
DocType
virtualization technology,virtualization frameworks,node level,centralized model,cluster scale,single node,vm capability,complex task,iaas platform,virtualization framework,operating systems,new proposal,load balance,memory management,resource allocation,cluster computing,operating system,virtualisation,virtual machine monitor,fault tolerant,distributed processing,dynamic scheduling,virtual machine,cloud computing
Virtualization,Distributed operating system,Scheduling (computing),Computer science,Computer network,Distributed computing,Load balancing (computing),Parallel computing,Fault tolerance,Resource allocation,Computer cluster,Operating system,Cloud computing
Conference
ISSN
Citations 
PageRank 
1066-6192
2
0.41
References 
Authors
25
2
Name
Order
Citations
PageRank
Flavien Quesnel1915.87
Adrien Lebre2907.45