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  1. Proceedings of the ACM SIGMETRICS/international conference on Measurement and modeling of computer systems (SIGMETRICS '13)
  2. Elastic paging
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Designing large-scale nudge engines
Practical conflict graphs for dynamic spectrum distribution
A large-scale service system with packing constraints: minimizing the number of occupied servers
Efficient crowdsourcing for multi-class labeling
Delays and mixing times in random-access networks
Exact analysis of the M/M/k/setup class of Markov chains via recursive renewal reward
Stochastic modeling of large-scale solid-state storage systems: analysis, design tradeoffs and optimization
Distributing content simplifies ISP traffic engineering
High-throughput low-latency fine-grained disk logging
Probabilistic optimal tree hopping for RFID identification
A tale of two metrics: simultaneous bounds on competitiveness and regret
Tutorial on geo-replication in data center applications
Challenges in cloud scale data centers
A first look at cellular network performance during crowded events
Online energy generation scheduling for microgrids with intermittent energy sources and co-generation
Root cause detection in a service-oriented architecture
Scheduling of users with markovian time-varying transmission rates
Queueing system topologies with limited flexibility
A mean field model for a class of garbage collection algorithms in flash-based solid state drives
Quantifying the benefits of joint content and network routing
On understanding the energy consumption of ARM-based multicore servers
Multipath TCP algorithms: theory and design
Accelerating GPGPU architecture simulation
The fundamentals of heavy-tails: properties, emergence, and identification
Characterizing and modeling the impact of wireless signal strength on smartphone battery drain
Defragmenting the cloud using demand-based resource allocation
The design space of probing algorithms for network-performance measurement
Lingering issues in distributed scheduling
Revisiting widely held SSD expectations and rethinking system-level implications
Reuse-based online models for caches
Trap array: a unified model for scalability evaluation of geometric routing
ACE: abstracting, characterizing and exploiting peaks and valleys in datacenter power consumption
Profiling and analyzing the I/O performance of NoSQL DBs
Characterizing the impact of process variation on write endurance enhancing techniques for non-volatile memory systems
An empirical analysis of intra- and inter-datacenter network failures for geo-distributed services
Computational analysis of cascading failures in power networks
Data center asset tracking using a mobile robot
Data center demand response: avoiding the coincident peak via workload shifting and local generation
Delivering fairness and priority enforcement on asymmetric multicore systems via OS scheduling
Detecting user dissatisfaction and understanding the underlying reasons
Discriminant malware distance learning on structuralinformation for automated malware classification
Elastic paging
Exact convex relaxation for optimal power flow in distribution networks
Exploiting the past to reduce delay in CSMA scheduling: a high-order markov chain approach
FaRNet: fast recognition of high multi-dimensional network traffic patterns
Firming solar power
Greedy name lookup for named data networking
How does energy accounting matter for energy management?
Online load balancing under graph constraints
Parallel scaling properties from a basic block view
Sharp bounds in stochastic network calculus
Stable and scalable universal swarms
Sustainability of service provisioning systems under attack
Temperature aware workload management in geo-distributed datacenters
Tolerating path heterogeneity in multipath TCP with bounded receive buffers
Understanding architectural characteristics of multimedia retrieval workloads
Understanding internet video viewing behavior in the wild
Understanding SMS spam in a large cellular network
Web performance bottlenecks in broadband access networks

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Elastic paging

Content Provider ACM Digital Library
Author Peserico, Enoch
Abstract We study a generalization of the classic paging problem where memory capacity can vary over time - a property of many modern computing realities, from cloud computing to multi-core and energy-optimized processors. We show that good performance in the "classic" case provides no performance guarantees when memory capacity fluctuates: roughly speaking, moving from static to dynamic capacity can mean the difference between optimality within a factor 2 in space, time and energy, and suboptimality by an arbitrarily large factor. Surprisingly, several classic paging algorithms still perform remarkably well, maintaining that factor 2 optimality even if faced with adversarial capacity fluctuations - without taking those fluctuations into explicit account!.
Starting Page 349
Ending Page 350
Page Count 2
File Format PDF
ISBN 9781450319003
DOI 10.1145/2465529.2479781
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2013-06-17
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Competitive Multicore Adaptive Energy Capacity Cloud Paging Online
Content Type Text
Resource Type Article
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