The Experts below are selected from a list of 4320 Experts worldwide ranked by ideXlab platform
Xie Ying - One of the best experts on this subject based on the ideXlab platform.
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Digital piracy, creative productivity, and customer care effort: evidence from the digital publishing industry
'Institute for Operations Research and the Management Sciences (INFORMS)', 2021Co-Authors: Li Xiaolin, Liao Chenxi, Xie YingAbstract:We empirically investigate how writers’ output is affected by copyright piracy using data from a Chinese digital publishing platform. We identify two measurements of writers’ output—creative productivity and customer care—which are also affected by readers’ feedback through purchasing, tipping, and commenting. We take advantage of an exogenous event—the termination of a free personal Storage service and search function by a leading Chinese Cloud Storage Provider in June 2016—to causally identify the effects of the resulting reduced copyright piracy on writers’ efforts. Using a difference-in-differences modeling approach, we compare the changes in average writer behavior before and after the event across two groups of writers: (1) writers who have profit-sharing contracts with the platform and (2) those who do not. We find that after the termination, contracted writers increased their creative productivity efforts in terms of quantity without sac-rificing quality but reduced their customer care efforts. However, these effects are absent for noncontracted writers. Our study is among the first to provide empirical support for the positive effect of digital intellectual property rights infringement re-duction on creative productivity
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Digital piracy, creative productivity, and customer care effort: evidence from the digital publishing industry
2020Co-Authors: Li Xiaolin, Liao Chenxi, Xie YingAbstract:We empirically investigate how writers’ output is affected by copyright piracy using data from a Chinese digital publishing platform. We identify two measurements of writers’ output, creative productivity and customer care, which are also affected by readers’ feedback through purchasing, tipping, and commenting. We take advantage of an exogenous event—the termination of free personal Storage service and search function by a leading Chinese Cloud Storage Provider in June 2016—to causally identify the effects of the resultant reduced copyright piracy on writers’ efforts. Using a difference-in-difference modeling approach, we compare the changes in average writer behaviors before and after the event across two groups of writers: 1) writers who have profit-sharing contracts with the platform; and 2) those who do not. We find that after the termination, contracted writers increased their creative productivity efforts in terms of quantity without sacrificing quality, but reduced their customer care efforts. However, these effects are absent for non-contracted writers. Our study is among the first to provide empirical support for the positive effect of digital IPR infringement reduction on creative productivity
Li Xiaolin - One of the best experts on this subject based on the ideXlab platform.
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Digital piracy, creative productivity, and customer care effort: evidence from the digital publishing industry
'Institute for Operations Research and the Management Sciences (INFORMS)', 2021Co-Authors: Li Xiaolin, Liao Chenxi, Xie YingAbstract:We empirically investigate how writers’ output is affected by copyright piracy using data from a Chinese digital publishing platform. We identify two measurements of writers’ output—creative productivity and customer care—which are also affected by readers’ feedback through purchasing, tipping, and commenting. We take advantage of an exogenous event—the termination of a free personal Storage service and search function by a leading Chinese Cloud Storage Provider in June 2016—to causally identify the effects of the resulting reduced copyright piracy on writers’ efforts. Using a difference-in-differences modeling approach, we compare the changes in average writer behavior before and after the event across two groups of writers: (1) writers who have profit-sharing contracts with the platform and (2) those who do not. We find that after the termination, contracted writers increased their creative productivity efforts in terms of quantity without sac-rificing quality but reduced their customer care efforts. However, these effects are absent for noncontracted writers. Our study is among the first to provide empirical support for the positive effect of digital intellectual property rights infringement re-duction on creative productivity
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Digital piracy, creative productivity, and customer care effort: evidence from the digital publishing industry
2020Co-Authors: Li Xiaolin, Liao Chenxi, Xie YingAbstract:We empirically investigate how writers’ output is affected by copyright piracy using data from a Chinese digital publishing platform. We identify two measurements of writers’ output, creative productivity and customer care, which are also affected by readers’ feedback through purchasing, tipping, and commenting. We take advantage of an exogenous event—the termination of free personal Storage service and search function by a leading Chinese Cloud Storage Provider in June 2016—to causally identify the effects of the resultant reduced copyright piracy on writers’ efforts. Using a difference-in-difference modeling approach, we compare the changes in average writer behaviors before and after the event across two groups of writers: 1) writers who have profit-sharing contracts with the platform; and 2) those who do not. We find that after the termination, contracted writers increased their creative productivity efforts in terms of quantity without sacrificing quality, but reduced their customer care efforts. However, these effects are absent for non-contracted writers. Our study is among the first to provide empirical support for the positive effect of digital IPR infringement reduction on creative productivity
Liao Chenxi - One of the best experts on this subject based on the ideXlab platform.
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Digital piracy, creative productivity, and customer care effort: evidence from the digital publishing industry
'Institute for Operations Research and the Management Sciences (INFORMS)', 2021Co-Authors: Li Xiaolin, Liao Chenxi, Xie YingAbstract:We empirically investigate how writers’ output is affected by copyright piracy using data from a Chinese digital publishing platform. We identify two measurements of writers’ output—creative productivity and customer care—which are also affected by readers’ feedback through purchasing, tipping, and commenting. We take advantage of an exogenous event—the termination of a free personal Storage service and search function by a leading Chinese Cloud Storage Provider in June 2016—to causally identify the effects of the resulting reduced copyright piracy on writers’ efforts. Using a difference-in-differences modeling approach, we compare the changes in average writer behavior before and after the event across two groups of writers: (1) writers who have profit-sharing contracts with the platform and (2) those who do not. We find that after the termination, contracted writers increased their creative productivity efforts in terms of quantity without sac-rificing quality but reduced their customer care efforts. However, these effects are absent for noncontracted writers. Our study is among the first to provide empirical support for the positive effect of digital intellectual property rights infringement re-duction on creative productivity
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Digital piracy, creative productivity, and customer care effort: evidence from the digital publishing industry
2020Co-Authors: Li Xiaolin, Liao Chenxi, Xie YingAbstract:We empirically investigate how writers’ output is affected by copyright piracy using data from a Chinese digital publishing platform. We identify two measurements of writers’ output, creative productivity and customer care, which are also affected by readers’ feedback through purchasing, tipping, and commenting. We take advantage of an exogenous event—the termination of free personal Storage service and search function by a leading Chinese Cloud Storage Provider in June 2016—to causally identify the effects of the resultant reduced copyright piracy on writers’ efforts. Using a difference-in-difference modeling approach, we compare the changes in average writer behaviors before and after the event across two groups of writers: 1) writers who have profit-sharing contracts with the platform; and 2) those who do not. We find that after the termination, contracted writers increased their creative productivity efforts in terms of quantity without sacrificing quality, but reduced their customer care efforts. However, these effects are absent for non-contracted writers. Our study is among the first to provide empirical support for the positive effect of digital IPR infringement reduction on creative productivity
Hong Jiang - One of the best experts on this subject based on the ideXlab platform.
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Exploiting Workload Characteristics and Service Diversity to Improve the Availability of Cloud Storage Systems
IEEE Transactions on Parallel and Distributed Systems, 2016Co-Authors: Bo Mao, Hong JiangAbstract:With the increasing utilization and popularity of the Cloud infrastructure, more and more data are moved to the Cloud Storage systems. This makes the availability of Cloud Storage services critically important, particularly given the fact that outages of Cloud Storage services have indeed happened from time to time. Thus, solely depending on a single Cloud Storage Provider for Storage services can risk violating the service-level agreement (SLA) due to the weakening of service availability. This has led to the notion of Cloud-of-Clouds, where data redundancy is introduced to distribute data among multiple independent Cloud Storage Providers, to address the problem. The key in the effectiveness of the Cloud-of-Clouds approaches lies in how the data redundancy is incorporated and distributed among the Clouds. However, the existing Cloud-of-Clouds approaches utilize either replication or erasure codes to redundantly distribute data across multiple Clouds, thus incurring either high space or high performance overheads. In this paper, we propose a hybrid redundant data distribution approach, called HyRD, to improve the Cloud Storage availability in Cloud-of-Clouds by exploiting the workload characteristics and the diversity of Cloud Providers. In HyRD, large files are distributed in multiple cost-efficient Cloud Storage Providers with erasure-coded data redundancy while small files and file system metadata are replicated on multiple high-performance Cloud Storage Providers. The experiments conducted on our lightweight prototype implementation of HyRD show that HyRD improves the cost efficiency by 33.4 and 20.4 percent, and reduces the access latency by 58.7 and 34.8 percent than the DuraCloud and RACS schemes, respectively.
Frühwirth Markus - One of the best experts on this subject based on the ideXlab platform.
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Secure, Cost-Efficient and Redundant Data Placement in the Cloud
2020Co-Authors: Frühwirth MarkusAbstract:Die Verwendung Cloudbasierter Dienste zur Datenspeicherung ist eine beliebte Alternative zu herkömmlichen Speichersystemen geworden. Die Nutzung solcher Speichersysteme kann die Datenintegrität, Datenverfügbarkeit und Datenbeständigkeit erhöhen und zugleich anfallende IT-Infrastrukturkosten senken. Immer mehr Unternehmen, Organisationen und auch Privatpersonen verwenden daher Cloudbasierte Services zur Speicherung von Daten. Die Nutzung von Cloudbasierten Speicherlösungen bringt aber auch einige Nachteile mit sich. Die große Vielzahl der Cloud-Anbieter, die unterschiedlichen Speichertechnologien und die teilweise komplexen Preismodelle erschweren die Suche nach einem geeigneten Service-Anbieter. Eines der größten Probleme bei der Verwendung Cloudbasierter Speichersysteme ist die Abhängigkeit von einem bestimmten Anbieter, insbesondere wenn für die Datenspeicherung nur ein einziger Cloud-Anbieter verwendet wird. Dieser kann nämlich jederzeit den Preis des Speicherdienstes erhöhen oder seine Serviceleistung einstellen. Solch eine Situation, bei der die Bedürfnisse der Dateneigentümer von einem bestimmten Cloud-Speicheranbieter abhängen, wird auch als Vendor Lock-In bezeichnet. Weiters wird dem Dateneigentümer durch die entfernte Datenspeicherung die physische Kontrolle über seine Daten entzogen und an den Service-Anbieter übergeben. Mögliche Sicherheitsverletzungen oder andere fehlerhafte Handlungen des Cloud-Betreibers können zu einer unerwünschten Offenlegung sensibler Daten führen. Das Ziel dieser Arbeit ist es daher, eine Cloud-basierte Middleware zu implementieren, welche mehrere unabhängige Cloud-Speicheranbieter verwendet, um Datenobjekte sicher, authentifiziert, redundant und kostengünstig zu speichern. Um eine kosteneffiziente und dynamische Platzierung der Datenobjekte zu ermöglichen, formulieren wir einen globalen Optimierungsansatz, welcher historische Daten des Datenzugriffs berücksichtigt und vordefinierte Dienstgüteanforderungen gewährleistet. Um den erforderlichen Cloud-Speicherplatz und damit die Gesamtkosten zu reduzieren, wird ein effizienter Kompressionsalgorithmus verwendet. Darüber hinaus wird durch die Verwendung eines authentifizierten und sicheren Verschlüsselungsalgorithmus eine hohe Sicherheit und Authentizität sichergestellt. Um eine hohe Verfügbarkeit zu erzielen und einen Vendor Lock-In auszuschließen, wird Erasure Coding als Redundanzmechanismus verwendet. Abschließend evaluieren wir den entworfenen Optimierungsansatz, indem wir ein realistisches Szenario über einen Zeitraum von sechs Monaten simulieren und die korrekte Funktionalität durch eine detaillierte Analyse der Ergebnisse belegen.The use of Cloud-based Storage services to store data is nowadays a popular alternative to traditional local Storage systems. In comparison to conventional Storage solutions, Cloud-based Storages can increase data integrity, availability and durability while lowering the overall IT infrastructure cost. Therefore, more and more businesses, organizations and even private persons use Cloud Storage systems. Especially, for smaller and medium-sized enterprises, the use of Cloud Storage systems can be more favorable in comparison to maintain their own common Storage solution. However, besides the already discussed benefits, Cloud-based Storage solutions brings also downsides with it. The huge amount of different Cloud Storage Providers, Storage techniques, geographical locations and pricing models makes the search for the best-fitting Cloud Storage Provider a tricky task. One of the biggest problems of using Cloud-based Storage systems is the reliance on the Cloud Storage Provider itself, especially if only one is used. Such a Provider can suddenly increase the price of the Storage service or can go out of business. This situation, where the data owners needs depend on a particular Cloud Storage Provider is denoted as vendor lock-in. Furthermore, storing data off-site removes the physical control of the data owner and passes it to the Cloud Storage Provider. Possible security breaches or other faulty actions of the Cloud Storage Provider can lead to unwanted disclose of sensitive data. Therefore, the goal of this thesis is to provide a Cloud-based middleware that uses several independent Cloud Storage Providers to store data objects in a secure, authenticated, redundant and cost-efficient way. To find a cost-efficient placement solution, we formulate a global optimization approach that takes into account historical data access information and ensures predefined Quality-of-Service (QoS) requirements. To reduce the required Cloud Storage space and thus the overall cost, each data object will be minimized in terms of its size by using an efficient compression algorithm. To ensure high security and authenticity, we make use of an authenticated and secure encryption algorithm. To overcome the risk of vendor lock-in and to provide high data availability, we use erasure coding as redundancy mechanism. Finally, we extensively evaluate the designed optimization approach by simulating a real-world scenario over a period of six month and by proving the correct functionality through a detailed analysis of the results.von Markus FrühwirthArbeit an der Bibliothek noch nicht eingelangt - Daten nicht geprüftAbweichender Titel nach Übersetzung der Verfasserin/des VerfassersTechnische Universität Wien, Diplomarbeit, 2020(VLID)467161
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Secure, cost-efficient and redundant data placement in the Cloud
Wien, 2020Co-Authors: Frühwirth MarkusAbstract:Die Verwendung Cloudbasierter Dienste zur Datenspeicherung ist eine beliebte Alternative zu herkömmlichen Speichersystemen geworden. Die Nutzung solcher Speichersysteme kann die Datenintegrität, Datenverfügbarkeit und Datenbeständigkeit erhöhen und zugleich anfallende IT-Infrastrukturkosten senken. Immer mehr Unternehmen, Organisationen und auch Privatpersonen verwenden daher Cloudbasierte Services zur Speicherung von Daten. Die Nutzung von Cloudbasierten Speicherlösungen bringt aber auch einige Nachteile mit sich. Die große Vielzahl der Cloud-Anbieter, die unterschiedlichen Speichertechnologien und die teilweise komplexen Preismodelle erschweren die Suche nach einem geeigneten Service-Anbieter. Eines der größten Probleme bei der Verwendung Cloudbasierter Speichersysteme ist die Abhängigkeit von einem bestimmten Anbieter, insbesondere wenn für die Datenspeicherung nur ein einziger Cloud-Anbieter verwendet wird. Dieser kann nämlich jederzeit den Preis des Speicherdienstes erhöhen oder seine Serviceleistung einstellen. Solch eine Situation, bei der die Bedürfnisse der Dateneigentümer von einem bestimmten Cloud-Speicheranbieter abhängen, wird auch als Vendor Lock-In bezeichnet. Weiters wird dem Dateneigentümer durch die entfernte Datenspeicherung die physische Kontrolle über seine Daten entzogen und an den Service-Anbieter übergeben. Mögliche Sicherheitsverletzungen oder andere fehlerhafte Handlungen des Cloud-Betreibers können zu einer unerwünschten Offenlegung sensibler Daten führen. Das Ziel dieser Arbeit ist es daher, eine Cloud-basierte Middleware zu implementieren, welche mehrere unabhängige Cloud-Speicheranbieter verwendet, um Datenobjekte sicher, authentifiziert, redundant und kostengünstig zu speichern. Um eine kosteneffiziente und dynamische Platzierung der Datenobjekte zu ermöglichen, formulieren wir einen globalen Optimierungsansatz, welcher historische Daten des Datenzugriffs berücksichtigt und vordefinierte Dienstgüteanforderungen gewährleistet. Um den erforderlichen Cloud-Speicherplatz und damit die Gesamtkosten zu reduzieren, wird ein effizienter Kompressionsalgorithmus verwendet. Darüber hinaus wird durch die Verwendung eines authentifizierten und sicheren Verschlüsselungsalgorithmus eine hohe Sicherheit und Authentizität sichergestellt. Um eine hohe Verfügbarkeit zu erzielen und einen Vendor Lock-In auszuschließen, wird Erasure Coding als Redundanzmechanismus verwendet. Abschließend evaluieren wir den entworfenen Optimierungsansatz, indem wir ein realistisches Szenario über einen Zeitraum von sechs Monaten simulieren und die korrekte Funktionalität durch eine detaillierte Analyse der Ergebnisse belegen.The use of Cloud-based Storage services to store data is nowadays a popular alternative to traditional local Storage systems. In comparison to conventional Storage solutions, Cloud-based Storages can increase data integrity, availability and durability while lowering the overall IT infrastructure cost. Therefore, more and more businesses, organizations and even private persons use Cloud Storage systems. Especially, for smaller and medium-sized enterprises, the use of Cloud Storage systems can be more favorable in comparison to maintain their own common Storage solution. However, besides the already discussed benefits, Cloud-based Storage solutions brings also downsides with it. The huge amount of different Cloud Storage Providers, Storage techniques, geographical locations and pricing models makes the search for the best-fitting Cloud Storage Provider a tricky task. One of the biggest problems of using Cloud-based Storage systems is the reliance on the Cloud Storage Provider itself, especially if only one is used. Such a Provider can suddenly increase the price of the Storage service or can go out of business. This situation, where the data owners needs depend on a particular Cloud Storage Provider is denoted as vendor lock-in. Furthermore, storing data off-site removes the physical control of the data owner and passes it to the Cloud Storage Provider. Possible security breaches or other faulty actions of the Cloud Storage Provider can lead to unwanted disclose of sensitive data. Therefore, the goal of this thesis is to provide a Cloud-based middleware that uses several independent Cloud Storage Providers to store data objects in a secure, authenticated, redundant and cost-efficient way. To find a cost-efficient placement solution, we formulate a global optimization approach that takes into account historical data access information and ensures predefined Quality-of-Service (QoS) requirements. To reduce the required Cloud Storage space and thus the overall cost, each data object will be minimized in terms of its size by using an efficient compression algorithm. To ensure high security and authenticity, we make use of an authenticated and secure encryption algorithm. To overcome the risk of vendor lock-in and to provide high data availability, we use erasure coding as redundancy mechanism. Finally, we extensively evaluate the designed optimization approach by simulating a real-world scenario over a period of six month and by proving the correct functionality through a detailed analysis of the results.9