As network infrastructures with 10 Gb/s bandwidth and beyond have become pervasive and as cost advantages of large commodity-machine clusters continue to increase, research and industry strive to exploit the available processing performance for large-scale database processing tasks. In this work we look at the use of high-speed networks for distributed join processing. We propose Data Roundabout as alight weight transport layer that uses Remote Direct Memory Access (RDMA) to gain access to the throughput opportunities in modern networks. The essence of Data Roundabout is a ring shaped network in which each host stores one portion of a large database instance. We leverage the available bandwidth to (continuously) pump data through the high-speed network. Based on Data Roundabout, we demonstrate cyclo-join, which exploits the cycling flow of data to execute distributed joins. The study uses different join algorithms (hash join and sort-merge join) to expose the pitfalls and the advantages of each algorithm in the data cycling arena. The experiments show the potential of a large distributed main-memory cache glued together with RDMA into a novel distributed database architecture.
{"title":"A Spinning Join That Does Not Get Dizzy","authors":"P. Frey, R. Goncalves, M. Kersten, J. Teubner","doi":"10.1109/ICDCS.2010.23","DOIUrl":"https://doi.org/10.1109/ICDCS.2010.23","url":null,"abstract":"As network infrastructures with 10 Gb/s bandwidth and beyond have become pervasive and as cost advantages of large commodity-machine clusters continue to increase, research and industry strive to exploit the available processing performance for large-scale database processing tasks. In this work we look at the use of high-speed networks for distributed join processing. We propose Data Roundabout as alight weight transport layer that uses Remote Direct Memory Access (RDMA) to gain access to the throughput opportunities in modern networks. The essence of Data Roundabout is a ring shaped network in which each host stores one portion of a large database instance. We leverage the available bandwidth to (continuously) pump data through the high-speed network. Based on Data Roundabout, we demonstrate cyclo-join, which exploits the cycling flow of data to execute distributed joins. The study uses different join algorithms (hash join and sort-merge join) to expose the pitfalls and the advantages of each algorithm in the data cycling arena. The experiments show the potential of a large distributed main-memory cache glued together with RDMA into a novel distributed database architecture.","PeriodicalId":199931,"journal":{"name":"2010 IEEE 30th International Conference on Distributed Computing Systems","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126072545","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
As wireless power charging technology emerges, some basic principles in sensor network design are changed accordingly. Existing sensor node deployment and data routing strategies cannot exploit wireless charging technology to minimize overall energy consumption. Hence, in this paper, we (a) investigate the impact of wireless charging technology on sensor network deployment and routing arrangement, (b) formalize the deployment and routing problem, (c) prove it as NP-complete, (d) develop heuristic algorithms to solve the problem, and (e) evaluate the performance of the solutions through extensive simulations. To the best of our knowledge, this is the first effort on adapting sensor network design to leverage wireless charging technology.
{"title":"How Wireless Power Charging Technology Affects Sensor Network Deployment and Routing","authors":"Bin Tong, Zi Li, Guiling Wang, Wensheng Zhang","doi":"10.1109/ICDCS.2010.61","DOIUrl":"https://doi.org/10.1109/ICDCS.2010.61","url":null,"abstract":"As wireless power charging technology emerges, some basic principles in sensor network design are changed accordingly. Existing sensor node deployment and data routing strategies cannot exploit wireless charging technology to minimize overall energy consumption. Hence, in this paper, we (a) investigate the impact of wireless charging technology on sensor network deployment and routing arrangement, (b) formalize the deployment and routing problem, (c) prove it as NP-complete, (d) develop heuristic algorithms to solve the problem, and (e) evaluate the performance of the solutions through extensive simulations. To the best of our knowledge, this is the first effort on adapting sensor network design to leverage wireless charging technology.","PeriodicalId":199931,"journal":{"name":"2010 IEEE 30th International Conference on Distributed Computing Systems","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114947797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Due to the lack of multicast services in the Internet, applications based on single source multiple destinations transfers such as video conferencing, IP radio, IPTV must use unicast or application layer multicast. This in turn has several well-known drawbacks. A basic insight is that this type of traffic exhibits high redundancy with temporal clustering of duplicated packets. The redundancy originates from multiple transfers of the same data chunk over the same link. We propose CacheCast-a link layer caching mechanism-that eliminates the redundant data transmissions using small caches on links. CacheCast's underlying principles are simplicity and reliability. It is a fully distributed and incrementally deployable architecture. It consists of small caches on links that act independently. A single cache removes redundant data from a packet on the link entry and recovers the data on the link exit. Thus, link caches are transparent to routers. We show through analysis and simulation that CacheCast achieves near multicast efficiency for superposition of unicast connections. We implemented CacheCast in ns-2 and show that it does not violate the current understanding of "fairness" in the Internet.
{"title":"CacheCast: Eliminating Redundant Link Traffic for Single Source Multiple Destination Transfers","authors":"Piotr Srebrny, T. Plagemann, V. Goebel, A. Mauthe","doi":"10.1109/ICDCS.2010.29","DOIUrl":"https://doi.org/10.1109/ICDCS.2010.29","url":null,"abstract":"Due to the lack of multicast services in the Internet, applications based on single source multiple destinations transfers such as video conferencing, IP radio, IPTV must use unicast or application layer multicast. This in turn has several well-known drawbacks. A basic insight is that this type of traffic exhibits high redundancy with temporal clustering of duplicated packets. The redundancy originates from multiple transfers of the same data chunk over the same link. We propose CacheCast-a link layer caching mechanism-that eliminates the redundant data transmissions using small caches on links. CacheCast's underlying principles are simplicity and reliability. It is a fully distributed and incrementally deployable architecture. It consists of small caches on links that act independently. A single cache removes redundant data from a packet on the link entry and recovers the data on the link exit. Thus, link caches are transparent to routers. We show through analysis and simulation that CacheCast achieves near multicast efficiency for superposition of unicast connections. We implemented CacheCast in ns-2 and show that it does not violate the current understanding of \"fairness\" in the Internet.","PeriodicalId":199931,"journal":{"name":"2010 IEEE 30th International Conference on Distributed Computing Systems","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122579728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shao Liu, Minghua Chen, S. Sengupta, M. Chiang, Jin Li, P. Chou
Two of the fundamental problems in peer-to-peer (P2P) streaming are as follows: what is the maximum streaming rate that can be sustained for all receivers, and what peering algorithms can achieve close to this maximum? These problems of computing and approaching the P2P streaming capacity are often challenging because of the constraints imposed on overlay topology. In this paper, we focus on the limit of P2P streaming rate under node degree bound, i.e., the number of connections a node can maintain is upper bounded. We first show that the streaming capacity problem under node degree bound is NP Complete in general. Then, for the case of node out-degree bound, through the construction of a “Bubble algorithm”, we show that the streaming capacity is at least half of that of a much less restrictive and previously studied case, where we bound the node degree in each streaming tree but not the degree across all trees. Then, for the case of node total-degree bound, we develop a “Cluster-Tree algorithm” that provides probabilistic guarantee of achieving a rate close to the maximum rate achieved under no degree bound constraint, when the node degree bound is logarithmic in network size. The effectiveness of these algorithms in approaching the capacity limit is demonstrated in simulations using uplink bandwidth statistics of Internet hosts. Both analysis and numerical experiments show that peering in a locally dense and globally sparse manner achieves near-optimal streaming rate if the degree bound is at least logarithmic in network size.
{"title":"P2P Streaming Capacity under Node Degree Bound","authors":"Shao Liu, Minghua Chen, S. Sengupta, M. Chiang, Jin Li, P. Chou","doi":"10.1109/ICDCS.2010.39","DOIUrl":"https://doi.org/10.1109/ICDCS.2010.39","url":null,"abstract":"Two of the fundamental problems in peer-to-peer (P2P) streaming are as follows: what is the maximum streaming rate that can be sustained for all receivers, and what peering algorithms can achieve close to this maximum? These problems of computing and approaching the P2P streaming capacity are often challenging because of the constraints imposed on overlay topology. In this paper, we focus on the limit of P2P streaming rate under node degree bound, i.e., the number of connections a node can maintain is upper bounded. We first show that the streaming capacity problem under node degree bound is NP Complete in general. Then, for the case of node out-degree bound, through the construction of a “Bubble algorithm”, we show that the streaming capacity is at least half of that of a much less restrictive and previously studied case, where we bound the node degree in each streaming tree but not the degree across all trees. Then, for the case of node total-degree bound, we develop a “Cluster-Tree algorithm” that provides probabilistic guarantee of achieving a rate close to the maximum rate achieved under no degree bound constraint, when the node degree bound is logarithmic in network size. The effectiveness of these algorithms in approaching the capacity limit is demonstrated in simulations using uplink bandwidth statistics of Internet hosts. Both analysis and numerical experiments show that peering in a locally dense and globally sparse manner achieves near-optimal streaming rate if the degree bound is at least logarithmic in network size.","PeriodicalId":199931,"journal":{"name":"2010 IEEE 30th International Conference on Distributed Computing Systems","volume":"07 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129823430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper presents a Least Popularly Used buffer cache algorithm to exploit both temporal locality and content locality of I/O requests. Popular data blocks are selected as reference blocks that are not only accessed frequently but also identical or similar in content to other blocks that are being accessed. Fast delta compression and decompression are used to satisfy as many I/O requests as possible using the popular reference blocks together with small deltas inside the buffer cache. The popularity of a reference block is calculated based on the statistical analysis of data contents and access frequency. A prototype LPU has been implemented as a new cache layer for Kernel Virtual Machine (KVM) on Linux system. Experimental results show LPU is effective for a variety of workloads with the maximum speed up of over 300% compared with LRU.
{"title":"A New Buffer Cache Design Exploiting Both Temporal and Content Localities","authors":"Jin Ren, Qing Yang","doi":"10.1109/ICDCS.2010.26","DOIUrl":"https://doi.org/10.1109/ICDCS.2010.26","url":null,"abstract":"This paper presents a Least Popularly Used buffer cache algorithm to exploit both temporal locality and content locality of I/O requests. Popular data blocks are selected as reference blocks that are not only accessed frequently but also identical or similar in content to other blocks that are being accessed. Fast delta compression and decompression are used to satisfy as many I/O requests as possible using the popular reference blocks together with small deltas inside the buffer cache. The popularity of a reference block is calculated based on the statistical analysis of data contents and access frequency. A prototype LPU has been implemented as a new cache layer for Kernel Virtual Machine (KVM) on Linux system. Experimental results show LPU is effective for a variety of workloads with the maximum speed up of over 300% compared with LRU.","PeriodicalId":199931,"journal":{"name":"2010 IEEE 30th International Conference on Distributed Computing Systems","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120917022","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Internet users such as individuals and organizations are subject to different types of epidemic risks such as worms, viruses, and botnets. To reduce the probability of risk, an Internet user generally invests in self-defense mechanisms like antivirus and antispam software. However, such software does not completely eliminate risk. Recent works have considered the problem of residual risk elimination by proposing the idea of cyber-insurance. In this regard, an important decision for Internet users is their amount of investment in self-defense mechanisms when insurance solutions are offered. In this paper, we investigate the problem of self-defense investments in the Internet, under full and partial cyber-insurance coverage models. By the term ‘self-defense investment’, we mean the monetary-cum-precautionary cost that each user needs to invest in employing risk mitigating self-defense mechanisms, given that it is fully or partially insured by the Internet insurance agencies. We propose a general mathematical framework by which co-operative and non-co-operative Internet users can decide whether or not to invest in self-defense for ensuring both, individual and social welfare. Our results show that (1) co-operation amongst users results in more efficient self-defense investments than those in a non-cooperative setting, under a full insurance coverage model and (2) partial insurance coverage motivates non-cooperative Internet users to invest more efficiently in self-defense mechanisms when compared to full insurance coverage.
{"title":"Analyzing Self-Defense Investments in Internet Security under Cyber-Insurance Coverage","authors":"R. Pal, L. Golubchik","doi":"10.1109/ICDCS.2010.79","DOIUrl":"https://doi.org/10.1109/ICDCS.2010.79","url":null,"abstract":"Internet users such as individuals and organizations are subject to different types of epidemic risks such as worms, viruses, and botnets. To reduce the probability of risk, an Internet user generally invests in self-defense mechanisms like antivirus and antispam software. However, such software does not completely eliminate risk. Recent works have considered the problem of residual risk elimination by proposing the idea of cyber-insurance. In this regard, an important decision for Internet users is their amount of investment in self-defense mechanisms when insurance solutions are offered. In this paper, we investigate the problem of self-defense investments in the Internet, under full and partial cyber-insurance coverage models. By the term ‘self-defense investment’, we mean the monetary-cum-precautionary cost that each user needs to invest in employing risk mitigating self-defense mechanisms, given that it is fully or partially insured by the Internet insurance agencies. We propose a general mathematical framework by which co-operative and non-co-operative Internet users can decide whether or not to invest in self-defense for ensuring both, individual and social welfare. Our results show that (1) co-operation amongst users results in more efficient self-defense investments than those in a non-cooperative setting, under a full insurance coverage model and (2) partial insurance coverage motivates non-cooperative Internet users to invest more efficiently in self-defense mechanisms when compared to full insurance coverage.","PeriodicalId":199931,"journal":{"name":"2010 IEEE 30th International Conference on Distributed Computing Systems","volume":"164 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131465416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Overlay network design for topic-based publish/subscribe systems is of primary importance because the overlay directly impacts the system's performance. Determining a topic-connected overlay, in which for every topic the graph induced by nodes interested in the topic is connected, is a fundamental problem. Existing algorithms for this problem suffer from three key drawbacks: (1) prohibitively high running time cost, (2) requirement of full system knowledge and centralized operation, and (3) constructing overlay from scratch. From a practical point of view, these are all significant limitations. To address these concerns, in this paper, we develop novel algorithms that efficiently solve the problem of dynamically joining two or more topic-connected overlays. Inspired from the divide-and-conquer character of our approach, we derive an algorithm that solves the original problem at a fraction (up to 1.7%) of the running time cost of alternative solutions, but at the expense of an empirically insignificant increase in the average node degree.
{"title":"Divide and Conquer Algorithms for Publish/Subscribe Overlay Design","authors":"Chen Chen, H. Jacobsen, R. Vitenberg","doi":"10.1109/ICDCS.2010.87","DOIUrl":"https://doi.org/10.1109/ICDCS.2010.87","url":null,"abstract":"Overlay network design for topic-based publish/subscribe systems is of primary importance because the overlay directly impacts the system's performance. Determining a topic-connected overlay, in which for every topic the graph induced by nodes interested in the topic is connected, is a fundamental problem. Existing algorithms for this problem suffer from three key drawbacks: (1) prohibitively high running time cost, (2) requirement of full system knowledge and centralized operation, and (3) constructing overlay from scratch. From a practical point of view, these are all significant limitations. To address these concerns, in this paper, we develop novel algorithms that efficiently solve the problem of dynamically joining two or more topic-connected overlays. Inspired from the divide-and-conquer character of our approach, we derive an algorithm that solves the original problem at a fraction (up to 1.7%) of the running time cost of alternative solutions, but at the expense of an empirically insignificant increase in the average node degree.","PeriodicalId":199931,"journal":{"name":"2010 IEEE 30th International Conference on Distributed Computing Systems","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132976212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wireless communication is particularly vulnerable to signal jamming attacks. Spread spectrum mitigates such problem by spreading normal narrowband signals over a much wider band of frequencies and forcing jammers who do not know such spread pattern to invest much more effort to launch attacks. However, in broadcast systems, jammers can easily find out the spread pattern by compromising some receivers. Several group-based approaches have been proposed to deal with insider jammers who can compromise receivers in broadcast systems, they can tolerate t malicious receivers as long as the system can afford 2t additional copies for each broadcast message. This paper introduces a novel jamming-resistant broadcast system that organizes receivers into multiple channel-sharing broadcast groups and isolates malicious receivers using adaptive re-grouping. By letting receivers in different groups partially share their channels, this scheme reduces the extra communication cost from 2t to (2 − ρ)t copies, where ρ is the channel sharing factor (0
{"title":"Adaptive Jamming-Resistant Broadcast Systems with Partial Channel Sharing","authors":"Qi Dong, Donggang Liu","doi":"10.1109/ICDCS.2010.25","DOIUrl":"https://doi.org/10.1109/ICDCS.2010.25","url":null,"abstract":"Wireless communication is particularly vulnerable to signal jamming attacks. Spread spectrum mitigates such problem by spreading normal narrowband signals over a much wider band of frequencies and forcing jammers who do not know such spread pattern to invest much more effort to launch attacks. However, in broadcast systems, jammers can easily find out the spread pattern by compromising some receivers. Several group-based approaches have been proposed to deal with insider jammers who can compromise receivers in broadcast systems, they can tolerate t malicious receivers as long as the system can afford 2t additional copies for each broadcast message. This paper introduces a novel jamming-resistant broadcast system that organizes receivers into multiple channel-sharing broadcast groups and isolates malicious receivers using adaptive re-grouping. By letting receivers in different groups partially share their channels, this scheme reduces the extra communication cost from 2t to (2 − ρ)t copies, where ρ is the channel sharing factor (0","PeriodicalId":199931,"journal":{"name":"2010 IEEE 30th International Conference on Distributed Computing Systems","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133015470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yangfan Zhou, Xinyu Chen, Michael R. Lyu, Jiangchuan Liu
Wireless Sensor Network (WSN) applications are typically event-driven. While the source codes of these applications may look simple, they are executed with a complicated concurrency model, which frequently introduces software bugs, in particular, transient bugs. Such buggy logics may only be triggered by some occasionally interleaved events that bear implicit dependency, but can lead to fatal system failures. Unfortunately, these deeply-hidden bugs or even their symptoms can hardly be identified by state-of-the-art debugging tools, and manual identification from massive running traces can be prohibitively expensive. In this paper, we present Sentomist (Sensor application anatomist), a novel tool for identifying potential transient bugs in WSN applications. The Sentomist design is based on a key observation that transient bugs make the behaviors of a WSN system deviate from the normal, and thus outliers (i.e., abnormal behaviors) are good indicators of potential bugs. Sentomist introduces the notion of event-handling interval to systematically anatomize the long-term execution history of an event-driven WSN system into groups of intervals. It then applies a customized outlier detection algorithm to quickly identify and rank abnormal intervals. This dramatically reduces the human efforts of inspection (otherwise, we have to manually check tremendous data samples, typically with brute force inspection) and thus greatly speeds up debugging. We have implemented Sentomist based on the concurrency model of TinyOS. We apply Sentomist to test a series of representative real-life WSN applications that contain transient bugs. These bugs, though caused by complicated interactions that can hardly be predicted during the programming stage, are successfully confined by Sentomist.
{"title":"Sentomist: Unveiling Transient Sensor Network Bugs via Symptom Mining","authors":"Yangfan Zhou, Xinyu Chen, Michael R. Lyu, Jiangchuan Liu","doi":"10.1109/ICDCS.2010.75","DOIUrl":"https://doi.org/10.1109/ICDCS.2010.75","url":null,"abstract":"Wireless Sensor Network (WSN) applications are typically event-driven. While the source codes of these applications may look simple, they are executed with a complicated concurrency model, which frequently introduces software bugs, in particular, transient bugs. Such buggy logics may only be triggered by some occasionally interleaved events that bear implicit dependency, but can lead to fatal system failures. Unfortunately, these deeply-hidden bugs or even their symptoms can hardly be identified by state-of-the-art debugging tools, and manual identification from massive running traces can be prohibitively expensive. In this paper, we present Sentomist (Sensor application anatomist), a novel tool for identifying potential transient bugs in WSN applications. The Sentomist design is based on a key observation that transient bugs make the behaviors of a WSN system deviate from the normal, and thus outliers (i.e., abnormal behaviors) are good indicators of potential bugs. Sentomist introduces the notion of event-handling interval to systematically anatomize the long-term execution history of an event-driven WSN system into groups of intervals. It then applies a customized outlier detection algorithm to quickly identify and rank abnormal intervals. This dramatically reduces the human efforts of inspection (otherwise, we have to manually check tremendous data samples, typically with brute force inspection) and thus greatly speeds up debugging. We have implemented Sentomist based on the concurrency model of TinyOS. We apply Sentomist to test a series of representative real-life WSN applications that contain transient bugs. These bugs, though caused by complicated interactions that can hardly be predicted during the programming stage, are successfully confined by Sentomist.","PeriodicalId":199931,"journal":{"name":"2010 IEEE 30th International Conference on Distributed Computing Systems","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132182608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In recent years, we have seen a surge of interest in enabling communications over meshed wireless networks. Particularly, supporting peer-to-peer communications over a multi-hop wireless network has a big potential in enabling ubiquitous computing. However, many wireless nodes have limited capabilities, for example, sensor nodes or small handheld devices. Also, the end-to-end capacity and delay degrade significantly as the path length increases with the number of network nodes. In these scenarios, the deployment of a backbone network could potentially facilitate higher performance network communications. In this paper, we study the novel Reinforcement Back-bone Network (RBN) deployment problem considering the practical limitation in the number of available backbone nodes and enforcing backbone network connectivity. We propose an iterative and adaptive (ITA) algorithm for efficient backbone network deployment. In addition, in order to provide the performance bound, we redefine and solve the problem by implementing the Generic Algorithm. Finally, we present our simulation results under various settings and compare the performance of the proposed ITA algorithm and the generic algorithm. Our study indicates that the proposed ITA algorithm is promising for deploying a connected RBN with a limited number of available backbone nodes.
{"title":"Deployment of a Reinforcement Backbone Network with Constraints of Connection and Resources","authors":"Peng Wei, Shan Chu, Xin Wang, Yu Zhou","doi":"10.1109/ICDCS.2010.94","DOIUrl":"https://doi.org/10.1109/ICDCS.2010.94","url":null,"abstract":"In recent years, we have seen a surge of interest in enabling communications over meshed wireless networks. Particularly, supporting peer-to-peer communications over a multi-hop wireless network has a big potential in enabling ubiquitous computing. However, many wireless nodes have limited capabilities, for example, sensor nodes or small handheld devices. Also, the end-to-end capacity and delay degrade significantly as the path length increases with the number of network nodes. In these scenarios, the deployment of a backbone network could potentially facilitate higher performance network communications. In this paper, we study the novel Reinforcement Back-bone Network (RBN) deployment problem considering the practical limitation in the number of available backbone nodes and enforcing backbone network connectivity. We propose an iterative and adaptive (ITA) algorithm for efficient backbone network deployment. In addition, in order to provide the performance bound, we redefine and solve the problem by implementing the Generic Algorithm. Finally, we present our simulation results under various settings and compare the performance of the proposed ITA algorithm and the generic algorithm. Our study indicates that the proposed ITA algorithm is promising for deploying a connected RBN with a limited number of available backbone nodes.","PeriodicalId":199931,"journal":{"name":"2010 IEEE 30th International Conference on Distributed Computing Systems","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126964333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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