By Topic

Modeling the performance of Ultra-Large-Scale systems using layered simulations

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

7 Author(s)
King Foo ; Dept. of Electr. & Comput. Eng., Queen''s Univ., Kingston, ON, Canada ; Zhen Ming Jiang ; Adams, B. ; Hassan, A.E.
more authors

The backbone of cloud computing platforms like Amazon S3 and Salesforce is formed by Ultra-Large-Scale (ULS) systems, i.e., complex, globally distributed infrastructure consisting of heterogeneous sets of software and hardware nodes. To ensure that a ULS system can scale to handle increasing service demand, it is important to understand the system's performance behaviour, for example to pro-actively plan for hardware upgrades. A good performance model should address concerns from all stakeholders at the level appropriate to their knowledge, interest, and experience. However, this is not straightforward, since stakeholders of ULS systems have a wide range of backgrounds and concerns: software developers are more interested in the performance of individual software components in the system, whereas managers are concerned about the performance of the entire system in different configurations. In this paper, we adapt the “4+1 View” model for software architecture to performance analysis models by building simulation models with multiple layers of abstraction. As a proof-of-concept, we conducted case studies on an open source RSS (Really Simple Syndication) Cloud system that actively delivers notifications of newly published content to subscribers, and on a hypothetical, industry-inspired performance monitor for ULS systems. We show that our layered simulation models are effective in identifying performance bottlenecks and optimal system configurations, balancing across performance objectives.

Published in:

Maintenance and Evolution of Service-Oriented and Cloud-Based Systems (MESOCA), 2011 International Workshop on the

Date of Conference:

26-26 Sept. 2011