Modeling and Performance Evaluation of Computing Systems (TOMPECS)


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ACM Transactions on Modeling and Performance Evaluation of Computing Systems (TOMPECS), Volume 2 Issue 1, November 2016

Contention-Aware Workload Placement for In-Memory Databases in Cloud Environments
Karsten Molka, Giuliano Casale
Article No.: 1
DOI: 10.1145/2961888

Big data processing is driven by new types of in-memory database systems. In this article, we apply performance modeling to efficiently optimize workload placement for such systems. In particular, we propose novel response time approximations for...

Fairness and Incentive Considerations in Energy Apportionment Policies
Ekhiotz Jon Vergara, Simin Nadjm-Tehrani, Mikael Asplund
Article No.: 2
DOI: 10.1145/2970816

The energy consumption of a system is determined by the system component usage patterns and interactions between the coexisting entities and resources. Energy accounting plays an essential role in revealing the contribution of each entity to the...

On Fair Attribution of Costs Under Peak-Based Pricing to Cloud Tenants
Neda Nasiriani, Cheng Wang, George Kesidis, Bhuvan Urgaonkar, Lydia Y. Chen, Robert Birke
Article No.: 3
DOI: 10.1145/2970815

The costs incurred by cloud providers towards operating their data centers are often determined in large part by their peak demands. The pricing schemes currently used by cloud providers to recoup these costs from their tenants, however, do not...

File Dissemination in Dynamic Graphs: The Case of Independent and Correlated Links in Series
Philippe Nain, Don Towsley
Article No.: 4
DOI: 10.1145/2981344

In this article, we investigate the traversal time of a file across N communication links subject to stochastic changes in the sending rate of each link. Each link’s sending rate is modeled by a finite-state Markov process. Two cases,...

Self-Similarity in Social Network Dynamics
Qingyun Liu, Xiaohan Zhao, Walter Willinger, Xiao Wang, Ben Y. Zhao, Haitao Zheng
Article No.: 5
DOI: 10.1145/2994142

Analyzing and modeling social network dynamics are key to accurately predicting resource needs and system behavior in online social networks. The presence of statistical scaling properties, that is, self-similarity, is critical for determining how...

Detecting Sponsored Recommendations
Subhashini Krishnasamy, Rajat Sen, Sanjay Shakkottai, Sewoong Oh
Article No.: 6
DOI: 10.1145/2988543

With the vast number of items, Web pages, and news from which to choose, online services and customers both benefit tremendously from personalized recommender systems. Such systems additionally provide great opportunities for targeted...