Security, availability and performance are critical to meet service level agreements in most Cloud computing services. In this paper, we build on the virtual machine technology that allows software components to be cheaply moved, replicated, and allocated on the hardware infrastructure to devise a solution that ensures users availability and performance requirements in Cloud environments. To deal with failures and vulnerabilities also due to cyber-attacks, we formulate the availability and performance attributes in the users perspective and show that the two attributes may often be competing for a given application. We then present a heuristicsbased approach that restores application's requirements in the failure and recovery events. Our algorithm uses Markov chains and queuing networks to estimate the availability and performance of different deployment contexts, and generates a set of actions to re-deploy a given application. By simulation, we show that our proposed approach improves the availability and lowers the degradation of system's response time compared to traditional static schemes.
|Titolo:||Adaptive resource management for balancing availability and performance in cloud computing|
|Parole Chiave:||Availability; Cloud computing; Dynamic adaption; Fault tolerance management; Performance; Resource management; Security|
|Settore Scientifico Disciplinare:||Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni|
|Data di pubblicazione:||2013|
|Digital Object Identifier (DOI):||10.5220/0004535902540264|
|Tipologia:||Book Part (author)|
|Appare nelle tipologie:||03 - Contributo in volume|