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Sensor faults: Detection methods and prevalence in real-world datasets

This work explores and characterize four qualitatively different classes of fault detection methods, and finds that time-series-analysis-based methods are more effective for detecting short duration faults than long duration ones, and incur more false positives than the other methods.
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VideoEdge: Processing Camera Streams using Hierarchical Clusters

This work proposes VideoEdge, a system that introduces dominant demand to identify the best tradeoff between multiple resources and accuracy, and narrows the search space by identifying a "Pareto band" of promising configurations.
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Improving QoS in BitTorrent-like VoD Systems

This paper considers a BitTorrent-like VoD system and focuses on how the lack of load balance affects the performance and what steps can be taken to remedy that and proposes several practical schemes aimed at addressing these questions.
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Wide-area analytics with multiple resources

Tetrium is proposed, a system for multi-resource allocation in geo-distributed clusters, that jointly considers both compute and network resources for task placement and job scheduling and significantly reduces job response time, while incorporating several other performance goals with simple control knobs.
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Data centers power reduction: A two time scale approach for delay tolerant workloads

In this work we focus on a stochastic optimization based approach to make distributed routing and server management decisions in the context of large-scale, geographically distributed data centers,…
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On the Prevalence of Sensor Faults in Real-World Deployments

This work first explores and characterize three qualitatively different classes of fault detection methods, which are qualitatively consistent in identifying sensor faults in real world data sets, a first-step towards automated on-line fault detection and classification.
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Scheduling jobs across geo-distributed datacenters

An extensive simulation study with realistic job traces shows that the proposed scheduling algorithms result in up to 50% improvement in average job completion time over the Shortest Remaining Processing Time (SRPT) based approaches.
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Early prediction of software component reliability

This paper develops a software component reliability prediction framework by exploiting architectural models and associated analysis techniques, stochastic modeling approaches, and information sources available early in the development lifecycle to illustrate its utility as an early reliability prediction approach.
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Will cyber-insurance improve network security? A market analysis

This work analyzes regulated monopolistic and competitive cyber-insurance markets, where the market elements consist of risk-averse cyber- Insurers, risk- averse network users, a regulatory agency, and security vendors, and shows that without contract discrimination amongst users, there always exists a unique market equilibrium for both market types, but the equilibrium is inefficient and does not improve network security.
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Fault tolerant design of multimedia servers

Techniques for providing a high degree of reliability and availability, at low disk storage, bandwidth, and memory costs for on-demand multimedia servers are investigated.
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