Output details
11 - Computer Science and Informatics
Imperial College London
Return to search
Output 0 of 0 in the submission
Article title
Model-Driven System Capacity Planning under Workload Burstiness
Type
D - Journal article
Title of journal
IEEE Transactions on Computers
Article number
-
Volume number
59
Issue number
1
First page of article
66
ISSN of journal
0018-9340
Year of publication
2010
URL
-
Number of additional authors
2
Additional information
<07>The paper studies queueing models of distributed systems processing workloads affected by burstiness. Previously, these models were thought intractable and thus studied only by approximations or
simulation. We found instead linear programming methods to analyse them without approximation. The proposed methods address the state explosion of the underlying Markov process and return provable upper
and lower bounds on the system steady-state performance. The paper extends a work presented at ACM SIGMETRICS 2008 and it was later generalised in a paper at IEEE/IFIP DSN 2010. In the collaboration, I have driven the theoretical part and authored the theorems.
Interdisciplinary
-
Cross-referral requested
-
Research group
D - Quantitative Analysis and Decision Science
Citation count
5
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
