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ACM Transactions on Modeling and Performance Evaluation of Computing Systems (TOMPECS), Volume 1 Issue 4, September 2016

Scheduling Storms and Streams in the Cloud
Javad Ghaderi, Sanjay Shakkottai, R. Srikant
Article No.: 14
DOI: 10.1145/2904080

Motivated by emerging big streaming data processing paradigms (e.g., Twitter Storm, Streaming MapReduce), we investigate the problem of scheduling graphs over a large cluster of servers. Each graph is a job, where nodes represent compute...

PEAS: A Performance Evaluation Framework for Auto-Scaling Strategies in Cloud Applications
Alessandro Vittorio Papadopoulos, Ahmed Ali-Eldin, Karl-Erik Årzén, Johan Tordsson, Erik Elmroth
Article No.: 15
DOI: 10.1145/2930659

Numerous auto-scaling strategies have been proposed in the past few years for improving various Quality of Service (QoS) indicators of cloud applications, for example, response time and throughput, by adapting the amount of resources assigned to...

Analysis of an Offloading Scheme for Data Centers in the Framework of Fog Computing
Christine Fricker, Fabrice Guillemin, Philippe Robert, Guilherme Thompson
Article No.: 16
DOI: 10.1145/2950047

In the context of fog computing, we consider a simple case where data centers are installed at the edge of the network and assume that if a request arrives at an overloaded data center, then it is forwarded to a neighboring data center with some...

A Control-Theoretic Analysis of Low-Priority Congestion Control Reprioritization under AQM
Luca De Cicco, Yixi Gong, Dario Rossi, Emilio Leonardi
Article No.: 17
DOI: 10.1145/2934652

Recently, a negative interplay has been shown to arise when scheduling/Active Queue Management (AQM) techniques and low-priority congestion control protocols are used together; namely, AQM resets the relative level of priority among congestion...

A Truthful Incentive Mechanism for Emergency Demand Response in Geo-Distributed Colocation Data Centers
Linquan Zhang, Shaolei Ren, Chuan Wu, Zongpeng Li
Article No.: 18
DOI: 10.1145/2950046

Data centers are key participants in demand response programs, including emergency demand response (EDR), in which the grid coordinates consumers of large amounts of electricity for demand reduction in emergency situations to prevent major...

False-Positive Probability and Compression Optimization for Tree-Structured Bloom Filters
Yongquan Fu, Ernst Biersack
Article No.: 19
DOI: 10.1145/2940324

Bloom filters are frequently used to to check the membership of an item in a set. However, Bloom filters face a dilemma: the transmission bandwidth and the accuracy cannot be optimized simultaneously. This dilemma is particularly severe for...

List of Reviewers

Article No.: 20
DOI: 10.1145/2989212