Architectures for autonomic service management in cloud-based systems

The complexity of cloud systems poses new infrastructure and application management challenges. One of the common goals of the research community, practitioners and vendors is to design self-adaptable solutions capable to react to unpredictable workload fluctuations and changing utility principles. This paper analyzes the problem from the perspective of an application service provider that uses a cloud infrastructure to achieve scalable provisioning of its services in the respect of QoS constraints. In the specific, we propose four architectural schemas for autonomic resource management of cloud-based systems. The proposed solutions, differing for the degree of control on the autonomic cycle phases, have been designed considering: (1) functional requirements dictated by the resource provisioning solutions proposed in literature; and (2) services currently offered by public IaaS providers. Finally, we propose an implementation of our solution based on Amazon EC2.

[1]  Jean-Marc Menaud,et al.  Autonomic virtual resource management for service hosting platforms , 2009, 2009 ICSE Workshop on Software Engineering Challenges of Cloud Computing.

[2]  Marin Litoiu,et al.  Resource provisioning for cloud computing , 2009, CASCON.

[3]  Marin Litoiu,et al.  A business driven cloud optimization architecture , 2010, SAC '10.

[4]  Jing Xu,et al.  On the Use of Fuzzy Modeling in Virtualized Data Center Management , 2007, Fourth International Conference on Autonomic Computing (ICAC'07).

[5]  Jeffrey S. Chase,et al.  Automated control in cloud computing: challenges and opportunities , 2009, ACDC '09.

[6]  Prashant J. Shenoy,et al.  Agile dynamic provisioning of multi-tier Internet applications , 2008, TAAS.

[7]  Schahram Dustdar,et al.  Low level Metrics to High level SLAs - LoM2HiS framework: Bridging the gap between monitored metrics and SLA parameters in cloud environments , 2010, 2010 International Conference on High Performance Computing & Simulation.

[8]  Fabio Panzieri,et al.  QoS–Aware Clouds , 2010, 2010 IEEE 3rd International Conference on Cloud Computing.

[9]  Zhenhuan Gong,et al.  PRESS: PRedictive Elastic ReSource Scaling for cloud systems , 2010, 2010 International Conference on Network and Service Management.

[10]  Wenying Zeng,et al.  Cloud service and service selection algorithm research , 2009, GEC '09.

[11]  Artur Andrzejak,et al.  Decision Model for Cloud Computing under SLA Constraints , 2010, 2010 IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems.

[12]  Ivona Brandic.  Towards Self-Manageable Cloud Services , 2009, 2009 33rd Annual IEEE International Computer Software and Applications Conference.

[13]  Jie Li,et al.  Cloud auto-scaling with deadline and budget constraints , 2010, 2010 11th IEEE/ACM International Conference on Grid Computing.