2016 Fourth IEEE Workshop on Hot Topics in Web Systems and Technologies (HotWeb)最新文献

{"title":"Video Watch Time and Comment Sentiment: Experiences from YouTube","authors":"Rong Yang, Sarvjeet Singh, Pei Cao, E. Chi, Bo Fu","doi":"10.1109/HotWeb.2016.13","DOIUrl":"https://doi.org/10.1109/HotWeb.2016.13","url":null,"abstract":"While video watching is now an indispensable part of the general public media consumption, yet very little is known about the relationship between how users interact with each other and how that affects video consumption patterns. In this paper, we explore the relationship between user commenting behavior and how that might or might not be predictive of video consumption patterns such as watch time. Contrary to recent findings, we found that video watch time is correlated with the positive sentiment expressed in the comments of YouTube videos. More precisely, videos with more positive sentiment on average in the comments are more likely to be watched longer, while videos with negative comment sentiment on average are more likely to have shorter watch durations. These results suggest that users prefer videos that evoke positive emotional responses. If the findings here generalizes to other social media, this suggests a motivational design finding that is useful for other system designers.","PeriodicalId":408635,"journal":{"name":"2016 Fourth IEEE Workshop on Hot Topics in Web Systems and Technologies (HotWeb)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133995081","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}

{"title":"Exploiting ICN for Efficient Content Dissemination in CDNs","authors":"Jiachen Chen, Haoyuan Xu, Shashikanth Penugonde, Yanyong Zhang, D. Raychaudhuri","doi":"10.1109/HotWeb.2016.11","DOIUrl":"https://doi.org/10.1109/HotWeb.2016.11","url":null,"abstract":"The Content Delivery Network (CDN) has become an important element in the Internet, which uses applicationlayer caches to improve user experience and reduce network/server load. However, CDNs face efficiency issues due to the following two reasons: 1) they are not aware of the network status, and 2) the underlying location-centric network (IP) does not understand content. At the same time, the Information-Centric Network (ICN) has been developed to address these issues: they use content identities as routing labels and support functions such as multi-source, multicast and in-network caching. While these in-network caches can help improve the content delivery performance, they are unaware of applicationspecific characteristics like policy and popularity. As a result, we believe application-layer CDN solutions are still beneficial in ICN. They can take advantage of ICN content delivery capabilities while having access to application-level details, therefore getting the best from both worlds. In this paper, we propose a CDN architecture over Mobility-First - a representative example of ICN - to show the benefit of such a design. The solution uses self-certifying names that can enable efficient content validation in CDNs, an applicationlayer CDN design that can maximize the utility of caches, and a pushing mechanism that allows content providers cache content proactively. Through a prototype, we show the feasibility and efficiency of the architecture.","PeriodicalId":408635,"journal":{"name":"2016 Fourth IEEE Workshop on Hot Topics in Web Systems and Technologies (HotWeb)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124444159","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}

{"title":"Placement Strategies for Virtualized Network Functions in a NFaaS Cloud","authors":"Xin He, Tian Guo, E. Nahum, P. Shenoy","doi":"10.1109/HotWeb.2016.17","DOIUrl":"https://doi.org/10.1109/HotWeb.2016.17","url":null,"abstract":"Enterprises that host services in the cloud need to protect their cloud resources using network services such as firewalls and deep packet inspection systems. While middle boxes have typically been used to implement such network functions in traditional enterprise networks, their use in cloud environments by cloud tenants is problematic due to the boundary between cloud providers and cloud tenants. Instead we argue that network function virtualization is a natural fit in cloud environments, where the cloud provider can implement Network Functions as a Service using virtualized network functions running on cloud servers, and enterprise cloud tenants can employ theseservices to implement security and performance optimizations for their cloud resources. In this paper, we focus on placement issues in the design of a NFaaS cloud and present two placement strategies-tenant-centric and service-centric-for deploying virtualized network services in multi-tenant settings. We discuss several tradeoffs of these two strategies. We implement a prototype NFaaS testbed and conduct a series of experiments to quantify the benefits and drawbacks of our two strategies. Our results suggest that the tenant-centric placement provides lower latencies while service-centric approach is more flexible for reconfiguration and capacity scaling.","PeriodicalId":408635,"journal":{"name":"2016 Fourth IEEE Workshop on Hot Topics in Web Systems and Technologies (HotWeb)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123014808","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}

{"title":"A Case for End-to-End Deduplication","authors":"F. Douglis","doi":"10.1109/HotWeb.2016.10","DOIUrl":"https://doi.org/10.1109/HotWeb.2016.10","url":null,"abstract":"Deduplication is nearly ubiquitous in backup environments, common for data distribution, and increasingly important for wide-area networking. Each of these three domains handles deduplication in a separate manner, but integrating them into an end-to-end deduplication paradigm would enable efficiencies and simplifications that will improve performance, scalability, and functionality.","PeriodicalId":408635,"journal":{"name":"2016 Fourth IEEE Workshop on Hot Topics in Web Systems and Technologies (HotWeb)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128219845","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}

{"title":"Intention-Based Online Consumer Classification for Recommendation and Personalization","authors":"Fanjuan Shi, C. Ghedira","doi":"10.1109/HotWeb.2016.15","DOIUrl":"https://doi.org/10.1109/HotWeb.2016.15","url":null,"abstract":"Consumers' online shopping behaviors are mostly determined by their intentions. Thus, the knowledge of consumer intention can help online marketers to enhance sales conversion rate and reduce ineffective marketing communications. Current personalization and recommendation techniques do not pay enough attention to various consumer intentions. The taxonomy of online shopping intention and the method to predict intention in real time are yet to be developed. Based on unsupervised and supervised learning techniques, this paper proposes an intention prediction model to fulfill the research gap. Empirical results suggest that the proposed model is able to classify intentions precisely. Accordingly, we discuss the implication and provide some managerial suggestions to online marketers who seek to implement some intention-based personalization methods.","PeriodicalId":408635,"journal":{"name":"2016 Fourth IEEE Workshop on Hot Topics in Web Systems and Technologies (HotWeb)","volume":"35 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133642423","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}

{"title":"Firework: Big Data Sharing and Processing in Collaborative Edge Environment","authors":"Quan Zhang, Xiaohong Zhang, Qingyang Zhang, Weisong Shi, Hong Zhong","doi":"10.1109/HotWeb.2016.12","DOIUrl":"https://doi.org/10.1109/HotWeb.2016.12","url":null,"abstract":"Cloud computing, arguably, has become the de facto computing platform for the big data processing by researchers and practitioners for the last decade, and enabled different stakeholders to discover valuable information from large scale data. At the same time, in the decade, we have witnessed the fast growing deployment of billions of sensors and actuators in multiple applications domains, such as transportation, manufacturing, connected/wearable health care, smart city and so on, stimulating the emerging of Edge Computing (a.k.a., fog computing, cloudlet). However, data, as the core of both cloud computing and edge computing, is still owned by each stakeholder and rarely shared due to privacy concern and formidable cost of data transportation, which significantly limits Internet of Things (IoT) applications that need data input from multiple stakeholders (e.g., video analytics collects data from cameras owned by police department, transportation department, retailer stores, etc.). In this paper, we envision that in the era of IoT the demand of distributed big data sharing and processing applications will dramatically increase since the data producing and consuming are pushed to the edge of the network. Data processing in collaborative edge environment needs to fuse data owned by multiple stakeholders, while keeping the computation within stakeholders' data facilities. To attack this challenge, we propose a new computing paradigm, Firework, which is designed for big data processing in collaborative edge environment (CEE). Firework fuses geographically distributed data by creating virtual shared data views that are exposed to end users via predefined interfaces by data owners. The interfaces are provided in the form of a set of datasets and a set of functions, where the functions are privacy preserved and bound to the datasets. Firework targets to share data while ensuring data privacy and integrity for stakeholders. By pushing the data processing as close as to data sources, Firework also aims to avoid data movement from the edge of the network to the cloud and improve the response latency.","PeriodicalId":408635,"journal":{"name":"2016 Fourth IEEE Workshop on Hot Topics in Web Systems and Technologies (HotWeb)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125712599","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}

{"title":"Transparency in the New gTLD Era: Evaluating the DNS Centralized Zone Data Service","authors":"Ah Reum Kang, S. Jeong, Steven Y. Ko, K. Ren, Aziz Mohaisen","doi":"10.1109/HotWeb.2016.18","DOIUrl":"https://doi.org/10.1109/HotWeb.2016.18","url":null,"abstract":"The centralized zone data service (CZDS) was introduced by the Internet Corporation for Assigned Names and Numbers (ICANN) to facilitate sharing and access to zone data of the new generic Top-Level Domains (gTLDs). CZDS aims to improve the security and transparency of the naming system. In this paper, we investigate CZDS's transparency by measurement. By requesting access to zone data of all gTLDs listed in the CZDS portal, we analyze various aspects of CZDS, including access status, responsiveness and provided reasons for granting access or denial. Among other findings, we find that while a large percent of the gTLD admins respond within reasonable time, more than 10% of them have a long request-to-decision waiting time, and sometimes requests go unanswered even after 6 months of a request. Furthermore, we find that denial cases were for unjustified reasons, requesting information that was provided in the request forms. We discuss implications, and how to enforce better outcomes of CZDS using insight from our measurement.","PeriodicalId":408635,"journal":{"name":"2016 Fourth IEEE Workshop on Hot Topics in Web Systems and Technologies (HotWeb)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127851223","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}

{"title":"What Ad Blockers Are (and Are Not) Doing","authors":"C. Wills, Doruk C. Uzunoglu","doi":"10.1109/HotWeb.2016.21","DOIUrl":"https://doi.org/10.1109/HotWeb.2016.21","url":null,"abstract":"The Web has many types of third-party domains and has a variety of available ad blockers. This work evaluates ad blocking tools for their effectiveness in blocking the retrieval of different categories of third-party content during download of popular websites. The results of this work demonstrate that there is much variation in the effectiveness of current ad blocking tools to prevent requests to different types of third-party domains. Non-configurable tools such as Blur and Disconnect provide only modest blockage of third-party domains in most categories. The tool uBlock generally demonstrates the best default configuration performance. By default, Ghostery provides no protection while Adblock Plus and Adguard provide minimal protection. They must be manually configured to obtain effective protection. The behavior of Adblock Plus is particularly notable as usage data indicates it has an 85% share of the ad blocking tool market. Other results based on network traces suggest that approximately 80% of these Adblock Plus users employ its default configuration. Construction of a \"composite\" ad blocker reflecting current usage of ad blockers and their configurations shows this composite ad blocker provides only a modest range reduction of 13-34% in the set of third-party domains retrieved in each category relative to not employing any ad blocker.","PeriodicalId":408635,"journal":{"name":"2016 Fourth IEEE Workshop on Hot Topics in Web Systems and Technologies (HotWeb)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129426609","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}

{"title":"Arrows in Commercial Web Applications","authors":"Eric Fritz, J. Antony, Tian Zhao","doi":"10.1109/HotWeb.2016.19","DOIUrl":"https://doi.org/10.1109/HotWeb.2016.19","url":null,"abstract":"Developing a scalable and robust web application is difficult. One obstacle is JavaScript's event model, which makes asynchronous programs hard to maintain and extend. This paper describes the case study of an Arrow-based JavaScript library for asynchronous computation. Our library enables more modular and understandable applications and it improves productivity with static type inference.","PeriodicalId":408635,"journal":{"name":"2016 Fourth IEEE Workshop on Hot Topics in Web Systems and Technologies (HotWeb)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123962554","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}

{"title":"A Novel Vision of Cyber-Human Smart City","authors":"S. Dustdar, Stefan Nastic, Ognjen Scekic","doi":"10.1109/HOTWEB.2016.16","DOIUrl":"https://doi.org/10.1109/HOTWEB.2016.16","url":null,"abstract":"Contemporary view on Smart City is very much static and infrastructure-centric, focusing on installation and subsequent management of Edge devices and analytics of data provided by these devices. While this still allows a more efficient management of city's infrastructure, optimizations and savings in different domains, the existing architectures are currently designed as single-purpose, vertically-siloed solutions. This effectively hinders an active involvement of a variety of stakeholders (e.g., citizens and businesses) who naturally form part of the city's ecosystem and have an inherent interest in jointly coordinating and influencing city-level activities towards a common benefit. This paper presents a value-driven architecture and the defining properties of the envisioned Smart City, characterized by complex coordinated activities involving the City's services, stakeholders and their devices. We look at existing foundational technologies for provisioning, coordination and controllability of said activities and discuss the required alignment steps towards the fulfillment of the stated vision.","PeriodicalId":408635,"journal":{"name":"2016 Fourth IEEE Workshop on Hot Topics in Web Systems and Technologies (HotWeb)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123118518","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}