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Predicting air quality using moving sensors 19

Predicting air quality using moving sensors

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17th acm International conference on Mobile systems, Applications, and Services, MobiSys 2019

作者： Zhang, Dan Woo, Simon S. Computer Science Department State University of New York Korea [SUNY Incheon Korea Republic of Department of Applied Data Science SKKU Institute for Convergence Sungkyunkwan University Suwon Korea Republic of

ISBN: (纸本)9781450366618

In recent years, interest in measuring air quality has spiked due to rising environmental and health concerns in South Korea. In particular, microfine dust (microdust) is known to cause serious health issues to people. Therefore, measuring and predicting mircodust is an important problem. A typical way of measuring microdust is to use sensors from fixed location. However, this cannot capture the local dynamics of microdust and is limited to accurate measurement near fixed locations. Therefore, there is an immediate need to provide more accurate local air quality measurements in the areas where fixed local sensors are not installed. In this preliminary research, we focus on modeling the air quality pattern in a given local area by using vehicles equipped with cheap IoT sensors, where vehicles move around the area. As a pilot study, We measured the microdust level running experiments for 2 weeks with 3 different cars. Also, we developed an machine learning algorithm to better predict the local air quality using moving sensors. Further, we built an application where measured air quality is reported to the end users. We demonstrated the feasibility of using inexpensive IoT sensors in moving vehicles to provide better local air quality to end users. © 2019 Copyright held by the owner/author(s).

关键词： Machine learning

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Working set size estimation techniques in virtualized environments: One size does not fit all 18

Working set size estimation techniques in virtualized enviro...

引用

2018 acm International conference on measurement and modeling of computer systems, sigmetrics 2018

作者： Nitu, Vlad Kocharyan, Aram Yaya, Hannas Tchana, Alain Hagimont, Daniel Astsatryan, Hrachya Toulouse University Toulouse Institute of Computer Science Research Toulouse France Institute for Informatics and Automation Problem Yerevan Armenia

ISBN: (纸本)9781450358460

Energy consumption is a primary concern for datacenter (DC) management. Its cost represents a significant part of the total cost of ownership (about 80% [2]) and it is estimated that in 2020, US DCs will spend about $13 billion on energy bills [3]. A majority of DCs implements the Infrastructure as a Service (IaaS) model where customers buy (from providers) VMs with a set of reserved resources. The VMs host general purpose applications (e.g. web services), as well as High Performance Computing applications. In such IaaS DCs, virtualization is a fundamental technology which allows optimizing the infrastructure by colocating several VMs on the same physical server. Such colocation can be achieved at deployment time by starting as many VMs as possible on each physical machine, or at runtime by dynamically migrating VMs on a reduced set of physical machines, thus implementing a consolidation strategy [4]. Ideally, consolidation should lead to highly loaded servers. Although consolidation may increase server utilization by about 5-10%, it is difficult to actually observe server loads greater than 50% for even the most adapted workloads [5–7]. The main reason is that VM collocation is memory bound, as memory saturates much faster than the CPU. This situation was accentuated over the last several years, as we have seen emerging new applications with growing memory demands, while physical platforms had an opposite tendency;they provide more CPU capacity than physical memory. This mismatch is referred to as the memory capacity wall [8]. However, the existing consolidation systems [9, 10] take the CPU as a pivot, i.e. the central element of the consolidation. The memory is considered constant (i.e. the initially booked value) all over the VM’s lifetime. Nevertheless, we consider that the memory should be the consolidation pivot since it is the limiting resource. In order to reduce the memory pressure, the consolidation should consider the memory actually consumed (i.e. the VM

关键词： Energy utilization

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Contextual processing of electrical capacitance tomography measurement data for temporal modeling of pneumatic conveying process.

Contextual processing of electrical capacitance tomography m...

引用

Federated conference on computer Science and Information systems (FedCSIS)

作者： Romanowski, Andrzej Lodz Univ Technol Inst Appl Comp Sci PL-90924 Lodz Poland

ISBN: (纸本)9788394941956

This work covers deployment of contextual processing of measurement data in application to temporal modeling of pneumatic conveying industrial process. Electrical capacitance tomography (ECT) used as a non-invasive process monitoring tool is supported by data mining for regularization of non-linear inverse problem solution. Processing of a larger number of archived experimental datasets enables extracting additional constraints for inference. Contextual data processing model (CDPM) extracts demanded information from the data in order to incorporate it as an expert knowledge about the process temporal behavior. Then it is incorporated into the Bayesian inference framework. Comparative analysis with previous work and domain expert prepared baseline to the proposed approach is demonstrated. Additionally, simplified parameterization is tested and verified by the quantitative experimental analysis.

关键词： Electric impedance tomography

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sigmetrics 2015 - proceedings of the 2015 acm sigmetrics International conference on measurement and modeling of computer systems

SIGMETRICS 2015 - Proceedings of the 2015 ACM SIGMETRICS Int...

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acm sigmetrics International conference on measurement and modeling of computer systems, sigmetrics 2015

ISBN: (纸本)9781450334860

The proceedings contain 56 papers. The topics discussed include: exchange of services in networks: competition, cooperation, and fairness;60 GHz indoor networking through flexible beams: a link-level profiling;queue-proportional rate allocation with per-link information in multihop networks;online convex optimization using predictions;an online learning approach to improving the quality of crowd-sourcing;bandits with budgets: regret lower bounds and optimal algorithms;social network monetization via sponsored viral marketing;greedy-Bayes for targeted news dissemination;DiskAccel: accelerating disk-based experiments by representative sampling;combining phase identification and statistic modeling for automated parallel benchmark generation;reducing latency via redundant requests: exact analysis;impact of fairness and heterogeneity on delays in large-scale content delivery networks;fisher information-based experiment design for network tomography;and when virtual meets physical at the edge: a field study on datacenters' virtual traffic.

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Adaptive Caching Networks with Optimality Guarantees

Adaptive Caching Networks with Optimality Guarantees

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作者： Ioannidis, Stratis Yeh, Edmund Department of Electrical and Computer Engineering Northeastern University BostonMA02115 United States

We study the optimal placement of content over a network of caches, a problem naturally arising in several networking applications. Given a demand of content request rates and paths followed, we wish to determine the content placement that maximizes the expected caching gain, i.e., the reduction of routing costs due to intermediate caching. The offline version of this problem is NP-hard and, in general, the demand and topology may be a priori unknown. Hence, a distributed, adaptive approximation algorithm for placing contents into caches is desired. We show that path replication, a simple algorithm frequently encountered in literature, can be arbitrarily suboptimal when combined with traditional eviction policies. We propose a distributed, adaptive algorithm that performs stochastic gradient ascent on a concave relaxation of the expected caching gain, and constructs a probabilistic content placement within a 1-1/e factor from the optimal, in expectation. Motivated by our analysis, we also propose a novel greedy eviction policy to be used with path replication, and show through numerical evaluations that both algorithms significantly outperform path replication with traditional eviction policies over a broad array of network topologies. © 1993-2012 IEEE.

关键词： Adaptive algorithms

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Optimizing speculative execution of deadline-sensitive jobs in cloud

Optimizing speculative execution of deadline-sensitive jobs ...

引用

2017 acm sigmetrics / International conference on measurement and modeling of computer systems, sigmetrics 2017

作者： Xu, Maotong Alamro, Sultan Lan, Tian Subramaniam, Suresh Department of Electrical and Computer Engineering George Washington University United States

ISBN: (纸本)9781450350327

In this paper, we bring various speculative scheduling strategies together under a unifying optimization framework, which defines a new metric, Probability of Completion before Deadlines (PoCD), to measure the probability that MapReduce jobs meet their desired deadlines. We propose an optimization problem to jointly optimize PoCD and execution cost in different strategies. Three strategies are prototyped on Hadoop MapReduce and evaluated against two baseline strategies using experiments. A 78% net utility increase with up to 94% PoCD and 12% cost improvement is achieved. © 2017 acm.

关键词： MapReduce

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sigmetrics/ Performance 2016 - proceedings of the sigmetrics/Performance Joint International conference on measurement and modeling of computer Science

SIGMETRICS/ Performance 2016 - Proceedings of the SIGMETRICS...

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13th Joint International conference on measurement and modeling of computer systems, acm sigmetrics / IFIP Performance 2016

ISBN: (纸本)9781450342667

The proceedings contain 51 papers. The topics discussed include: delay, memory, and messaging tradeoffs in distributed service systems;a necessary and sufficient condition for throughput scalability of fork and join networks with blocking;reverse ranking by graph structure: model and scalable algorithms;costly circuits, submodular schedules and approximate CaratheÁodory theorems;reducing latency through page-aware management of web objects by content delivery networks;optimizing TTL caches under heavy-tailed demands;adaptive caching networks with optimality guarantees;unsupervised clustering under temporal feature volatility in network stack fingerprinting;noisy bloom filters for multi-set membership testing;rumor source obfuscation on irregular trees;inference in OSNs via lightweight partial crawls;using predictions in online optimization: looking forward with an eye on the past;achieving low-delay and fast-convergence in stochastic network optimization: a Nesterovian approach;on the viability of a cloud virtual service provider;the value of privacy: strategic data subjects, incentive mechanisms and fundamental limits;instability in distributed mobility management: revisiting configuration management in 3G/4G mobile networks;on the duration and intensity of competitions in nonlinear PoÁlya urn processes with fitness;and understanding latency variation in modern DRAM chips: experimental characterization, analysis, and optimization.

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Characterizing 3D floating gate NAND flash

Characterizing 3D floating gate NAND flash

引用

2017 acm sigmetrics / International conference on measurement and modeling of computer systems, sigmetrics 2017

作者： Xiong, Qin Wu, Fei Lu, Zhonghai Zhu, Yue Zhou, You Chu, Yibing Xie, Changsheng Huang, Ping Wuhan National Laboratory for Optoelectronics Huazhong University of Science and Technology Wuhan China KTH Royal Institute of Technology School of Information and Communication Technology Stockholm Sweden Renice Technology Co. Limited China Department of Computer Information Sciences Temple University United States

ISBN: (纸本)9781450350327

In this paper, we characterize a state-of-The-Art 3D oating gate NAND ash memory through comprehensive experiments on an FPGA platform. Then, we present distinct observations on performance and reliability, such as operation latencies and various error patterns. We believe that through our work, novel 3D NAND ash-oriented designs can be developed to achieve better performance and reliability. © 2017 acm.

关键词： NAND circuits

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Persistent spread measurement for big network data based on register intersection

Persistent spread measurement for big network data based on ...

引用

2017 acm sigmetrics / International conference on measurement and modeling of computer systems, sigmetrics 2017

作者： Zhou, You Zhou, Yian Chen, Min Chen, Shigang Department of CISE University of Florida United States Google Inc. University of Florida United States

ISBN: (纸本)9781450350327

Persistent spread measurement is to count the number of distinct elements that persist in each network flow for predefined time periods. It has many practical applications, including detecting long-Term stealthy network activities in the background of normal-user activities, such as stealthy DDoS attack, stealthy network scan, or faked network trend, which cannot be detected by traditional flow cardinality measurement. With big network data, one challenge is to measure the persistent spreads of a massive number of flows without incurring too much memory overhead as such measurement may be performed at the line speed by network processors with fast but small on-chip memory. We propose a highly compact Virtual Intersection HyperLogLog (VI-HLL) architecture for this purpose. It achieves far better memory efficiency than the best prior work of V-Bitmap, and in the meantime drastically extends the measurement range. Theoretical analysis and extensive experiments demonstrate that VI-HLL provides good measurement accuracy even in very tight memory space of less than 1 bit per flow. © 2017 acm.

关键词： Network security

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Investigation of the 2016 Linux TCP Stack vulnerability at scale

Investigation of the 2016 Linux TCP Stack vulnerability at s...

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2017 acm sigmetrics / International conference on measurement and modeling of computer systems, sigmetrics 2017

作者： Quach, Alan Wang, Zhongjie Qian, Zhiyun University of California Riverside United States

ISBN: (纸本)9781450350327

To combat blind in-window attacks against TCP, changes proposed in RFC 5961 have been implemented by Linux since late 2012. While successfully eliminating the old vulnerabilities, the new TCP implementation was reported in August 2016 to have introduced a subtle yet serious security flaw. Assigned CVE-2016-5696, the flaw exploits the challenge ACK rate limiting feature that could allow an off-path attacker to infer the presence/absence of a TCP connection between two arbitrary hosts, terminate such a connection, and even inject malicious payload. In this work, we perform a comprehensive measurement of the impact of the new vulnerability. This includes (1) tracking the vulnerable Internet servers, (2) monitoring the patch behavior over time, (3) picturing the overall security status of TCP stacks at scale. Towards this goal, we design a scalable measurement methodology to scan the Alexa top 1 million websites for almost 6 months. We also present how notifications impact the patching behavior, and compare the result with the Heartbleed and the Debian PRNG vulnerability. The measurement represents a valuable data point in understanding how Internet servers react to serious security flaws in the operating system kernel.

关键词： tcp vulnerability off-path attacks linux measurement challenge ack

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