Paper Info
Title
Towards autonomic detection of SLA violations in Cloud infrastructures
Abstract
Cloud computing has become a popular paradigm for implementing scalable computing infrastructures provided on-demand on a case-by-case basis. Self-manageable Cloud infrastructures are required in order to comply with users' requirements defined by Service Level Agreements (SLAs) and to minimize user interactions with the computing environment. Thus, adequate SLA monitoring strategies and timely detection of possible SLA violations represent challenging research issues. This paper presents the Detecting SLA Violation infrastructure (DeSVi) architecture, sensing SLA violations through sophisticated resource monitoring. Based on the user requests, DeSVi allocates computing resources for a requested service and arranges its deployment on a virtualized environment. Resources are monitored using a novel framework capable of mapping low-level resource metrics (e.g., host up and down time) to user-defined SLAs (e.g., service availability). The detection of possible SLA violations relies on the predefined service level objectives and utilization of knowledge databases to manage and prevent such violations. We evaluate the DeSVi architecture using two application scenarios: (i) image rendering applications based on ray-tracing, and (ii) transactional web applications based on the well-known TPC-W benchmark. These applications exhibit heterogeneous workloads for investigating optimal monitoring interval of SLA parameters. The achieved results show that our architecture is able to monitor and detect SLA violations. The architecture output also provides a guideline on the appropriate monitoring intervals for applications depending on their resource consumption behavior.
Year
DOI
Venue
2012
10.1016/j.future.2011.08.018
Future Generation Comp. Syst.
Keywords
Field
DocType
architecture output,desvi allocates computing resource,sla violation,sla parameter,desvi architecture,adequate sla monitoring strategy,possible sla violation,cloud computing,cloud infrastructure,appropriate monitoring interval,towards autonomic detection,detecting sla violation infrastructure
Service level objective,Software deployment,Service level,Computer science,Service-level agreement,Real-time computing,Web application,Rendering (computer graphics),Downtime,Distributed computing,Cloud computing
Journal
Volume
Issue
ISSN
28
7
0167-739X
Citations 
PageRank 
References 
86
2.74
38
Authors
6
Name
Order
Citations
PageRank
Vincent C. Emeakaroha132520.40
Marco A. S. Netto228413.16
Rodrigo N. Calheiros33441141.17
Ivona Brandic43048172.43
Rajkumar Buyya5232081340.23
César A. F. De Rose6198287.05