Using virtual machine monitors to overcome the challenges of monitoring and managing virtualized cloud infrastructures

2012 ◽  
Author(s):  
Mervat Adib Bamiah ◽  
Sarfraz Nawaz Brohi ◽  
Suriayati Chuprat
Keyword(s):  
Virtual Machine ◽  
Virtual Machine Monitors ◽  
Cloud Infrastructures

Decentralised Repositories for Transparent and Efficient Virtual Machine Operations

2016 ◽  
pp. 170-219 ◽  
Author(s):  
Simon Ostermann ◽  
Gabor Kecskemeti ◽  
Salman Taherizadah ◽  
Radu Prodan ◽  
Thomas Fahringer ◽  
...  
Keyword(s):  
Knowledge Base ◽  
Virtual Machine ◽  
Economic Costs ◽  
Operational Environment ◽  
Storage Size ◽  
Virtualization Technology ◽  
Inside View ◽  
The Creation ◽  
Cloud Infrastructures ◽  
Lock In

ENTICE is an H2020 European project aiming to research and create a novel Virtual Machine (VM) repository and operational environment for federated Cloud infrastructures to: (i) simplify the creation of lightweight and highly optimised VM images tuned for functional descriptions of applications; (ii) automatically decompose and distribute VM images based on multi-objective optimisation (performance, economic costs, storage size, and QoS needs) and a knowledge base and reasoning infrastructure to meet application runtime requirements; and (iii) elastically auto-scale applications on Cloud resources based on their fluctuating load with optimised VM interoperability across Cloud infrastructures and without provider lock-in, in order to finally fulfil the promises that virtualization technology has failed to deliver so far. In this chapter, we give an inside view into the ENTICE project architecture. Based on stakeholders that interact with ENTICE, we describe the different functionalities of the different components and services and how they interact with each other.

scholarly journals Interoperable Resource Management for Establishing Federated Clouds

2012 ◽  
pp. 18-35 ◽  
Author(s):  
Gabor Kecskemeti ◽  
Attila Kertesz ◽  
Attila Marosi ◽  
Peter Kacsuk
Keyword(s):  
Virtual Machine ◽  
Virtual Machines ◽  
Research Areas ◽  
Computing Paradigm ◽  
Virtual Appliance ◽  
Service Deployment ◽  
Cloud Providers ◽  
Service Oriented ◽  
Cloud Infrastructures ◽  
Privately Owned

Cloud Computing builds on the latest achievements of diverse research areas, such as Grid Computing, Service-oriented computing, business process modeling and virtualization. As this new computing paradigm was mostly lead by companies, several proprietary systems arose. Recently, alongside these commercial systems, several smaller-scale privately owned systems are maintained and developed. This chapter focuses on issues faced by users with interests in Multi-Cloud use and by Cloud providers with highly dynamic workloads. The authors propose a Federated Cloud Management architecture that provides unified access to a federated Cloud that aggregates multiple heterogeneous IaaS Cloud providers in a transparent manner. The architecture incorporates the concepts of meta-brokering, Cloud brokering, and on-demand service deployment. The meta-brokering component provides transparent service execution for the users by allowing the interconnection of various Cloud brokering solutions. Cloud-Brokers manage the number and the location of the Virtual Machines performing the user requests. In order to decrease Virtual Machine instantiation time and increase dynamism in the system, the service deployment component optimizes service delivery by encapsulating services as virtual appliances allowing their decomposition and replication among IaaS Cloud infrastructures. The architecture achieves service provider level transparency through automatic virtual appliance replication and Virtual Machine management of Cloud-Brokers.

Rethinking the design of virtual machine monitors

Computer ◽  
2005 ◽  
Vol 38 (5) ◽  
pp. 57-62 ◽  
Author(s):  
A. Whitaker ◽  
R.S. Cox ◽  
M. Shaw ◽  
S.D. Gribble
Keyword(s):  
Virtual Machine ◽  
Virtual Machine Monitors
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