Abstract
Architecture-based self-adaptation has been recognised as one of the prominent ways to design autonomic systems, where self-manageable architectures tend to achieve the required level of dynamicity and compliance with the continual changing in QoS requirements during run-time. Self-awareness and self-expression have recently emerged as promising architectural concepts in the field of self-adaptive software. Self-aware architecture patterns are envisioned as enabler for self-adaptation, but they tend to provide limited support for the QoS run-time requirements. While the research community has developed in architecture quality management, patterns and tactics, addressing quality attributes in self-aware architectures has not been tackled yet. In this paper, we aim to provide quality-driven architectural patterns for emerging class of architecture enabled by the principles of self-awareness. We report on the feasibility of correlating QoS tactics with self-aware capabilities to better respond to QoS run-time requirements and trade-offs. We describe novel extensions which make the correlation between QoS tactics and self-awareness explicit. We quantitatively evaluate the feasibility, generality and fitness of the proposed approach, as well as its potential applicability to self-aware architectures. Though the proposed extensions can potentially benefit architectures which leverage on self-awareness, we use the case of cloud auto-scaling architecture.
Original language | English |
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Title of host publication | Proceedings 2015 IEEE 8th International Conference on Cloud Computing (CLOUD) |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 844-851 |
ISBN (Print) | 9781467372862 |
DOIs | |
Publication status | Published - 27 Jun 2015 |
Event | 2015 IEEE 8th International Conference on Cloud Computing (CLOUD) - New York, United States Duration: 27 Jun 2015 → 2 Jul 2015 |
Conference
Conference | 2015 IEEE 8th International Conference on Cloud Computing (CLOUD) |
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Country/Territory | United States |
City | New York |
Period | 27/06/15 → 2/07/15 |