Cloud backup has been an important issue ever since large quantities of valuable data have been stored on the personal computing devices. Data reduction techniques, such as deduplication, delta encoding, and Lempel-Z...Cloud backup has been an important issue ever since large quantities of valuable data have been stored on the personal computing devices. Data reduction techniques, such as deduplication, delta encoding, and Lempel-Ziv （LZ） compression, performed at the client side before data transfer can help ease cloud backup by saving network bandwidth and reducing cloud storage space. However, client-side data reduction in cloud backup services faces efficiency and privacy challenges. In this paper, we present Pangolin, a secure and efficient cloud backup service for personal data storage by exploiting application awareness. It can speedup backup operations by application-aware client-side data reduction technique, and mitigate data security risks by integrating selective encryption into data reduction for sensitive applications. Our experimental evaluation, based on a prototype implementation, shows that our scheme can improve data reduction efficiency over the state-of-the-art methods by shortening the backup window size to 33%-75%, and its security mechanism for＇ sensitive applications has negligible impact on backup window size.展开更多
Cloud storage employs software that interconnects and facilitates collaboration between different types of storage devices Compared with traditional storage methods, cloud storage poses new challenges in data security...Cloud storage employs software that interconnects and facilitates collaboration between different types of storage devices Compared with traditional storage methods, cloud storage poses new challenges in data security, reliability, and management. This paper introduces four layers of cloud storage architecture： data storage layer （connecting multiple storage components）, data management layer （providing common support technology for multiple services）, data service layer （sustaining multiple storage applications）, and user access layer. A typical cloud storage application--Backup Cloud （B-Cloud）--is examined and its software architecture, characteristics, and main research areas are discussed.展开更多
This work proposes the adoption of Autonomic Computing System (ACS) in Cloud environment. ACS was first introduced by IBM to create systems capable of managing automatic self-configuration, self-healing, self-optimiza...This work proposes the adoption of Autonomic Computing System (ACS) in Cloud environment. ACS was first introduced by IBM to create systems capable of managing automatic self-configuration, self-healing, self-optimization and self-protection. These systems detect errors that cause failure, and then recover and reconfigure itself. The concept is wildly adapted by many software applications that have many restoring and recovery functionality such as operating systems (e.g. Windows Server 2012). This paper proposes a cloud ACS (CACS) for cloud computing environment that monitors, diagnoses, checks and heals cloud applications automatically and immediately with almost unnoticeable recovery time. In order to evaluate CACS, an application has been developed and applied for real time cloud applications. The results of different experiments scenarios demonstrate the ability of adopting the proposed system to heal well cloud applications. CACS is also compared with Windows Server 2012 operating system in terms of healing ability, speed, cost, methodology and other informative information. CACS showed domination in almost all of these properties.展开更多
The future Wireless Cloud Networks (WCNs) are required to satisfy both extremely high levels of service resilience and security assurance (i.e., Blue criteria) by overproviding backup network resources and cryptograph...The future Wireless Cloud Networks (WCNs) are required to satisfy both extremely high levels of service resilience and security assurance (i.e., Blue criteria) by overproviding backup network resources and cryptographic protection on wireless communication respectively, as well as minimizing energy consumption (i.e., Green criteria) by switching off unnecessary resources as much as possible. There is a contradiction to satisfy both Blue and Green design criteria simultaneously. In this paper, we propose a new BlueGreen topological control scheme to leverage the wireless link connectivity for WCNs using an adaptive encryption key allocation mechanism, named as Shared Backup Path Keys (SBPK). The BlueGreen SBPK can take into account the network dependable requirements such as service resilience, security assurance and energy efficiency as a whole, so as trading off between them to find an optimal solution. Actually, this challenging problem can be modeled as a global optimization problem, where the network working and backup elements such as nodes, links, encryption keys and their energy consumption are considered as a resource, and their utilization should be minimized. The case studies confirm that there is a trade-off optimal solution between the capacity efficiency and energy efficiency to achieve the dependable WCNs.展开更多
基金supported in part by the National High Technology Research and Development 863 Program of China under Grant No.2013AA013201the National Natural Science Foundation of China under Grant Nos.61025009,61232003,61120106005,61170288,and 61379146
文摘Cloud backup has been an important issue ever since large quantities of valuable data have been stored on the personal computing devices. Data reduction techniques, such as deduplication, delta encoding, and Lempel-Ziv （LZ） compression, performed at the client side before data transfer can help ease cloud backup by saving network bandwidth and reducing cloud storage space. However, client-side data reduction in cloud backup services faces efficiency and privacy challenges. In this paper, we present Pangolin, a secure and efficient cloud backup service for personal data storage by exploiting application awareness. It can speedup backup operations by application-aware client-side data reduction technique, and mitigate data security risks by integrating selective encryption into data reduction for sensitive applications. Our experimental evaluation, based on a prototype implementation, shows that our scheme can improve data reduction efficiency over the state-of-the-art methods by shortening the backup window size to 33%-75%, and its security mechanism for＇ sensitive applications has negligible impact on backup window size.
基金funded by the National High Technology Research and Development Program of China "(863"program) under Grant No. 2009AA01A402
文摘Cloud storage employs software that interconnects and facilitates collaboration between different types of storage devices Compared with traditional storage methods, cloud storage poses new challenges in data security, reliability, and management. This paper introduces four layers of cloud storage architecture： data storage layer （connecting multiple storage components）, data management layer （providing common support technology for multiple services）, data service layer （sustaining multiple storage applications）, and user access layer. A typical cloud storage application--Backup Cloud （B-Cloud）--is examined and its software architecture, characteristics, and main research areas are discussed.
文摘This work proposes the adoption of Autonomic Computing System (ACS) in Cloud environment. ACS was first introduced by IBM to create systems capable of managing automatic self-configuration, self-healing, self-optimization and self-protection. These systems detect errors that cause failure, and then recover and reconfigure itself. The concept is wildly adapted by many software applications that have many restoring and recovery functionality such as operating systems (e.g. Windows Server 2012). This paper proposes a cloud ACS (CACS) for cloud computing environment that monitors, diagnoses, checks and heals cloud applications automatically and immediately with almost unnoticeable recovery time. In order to evaluate CACS, an application has been developed and applied for real time cloud applications. The results of different experiments scenarios demonstrate the ability of adopting the proposed system to heal well cloud applications. CACS is also compared with Windows Server 2012 operating system in terms of healing ability, speed, cost, methodology and other informative information. CACS showed domination in almost all of these properties.
文摘The future Wireless Cloud Networks (WCNs) are required to satisfy both extremely high levels of service resilience and security assurance (i.e., Blue criteria) by overproviding backup network resources and cryptographic protection on wireless communication respectively, as well as minimizing energy consumption (i.e., Green criteria) by switching off unnecessary resources as much as possible. There is a contradiction to satisfy both Blue and Green design criteria simultaneously. In this paper, we propose a new BlueGreen topological control scheme to leverage the wireless link connectivity for WCNs using an adaptive encryption key allocation mechanism, named as Shared Backup Path Keys (SBPK). The BlueGreen SBPK can take into account the network dependable requirements such as service resilience, security assurance and energy efficiency as a whole, so as trading off between them to find an optimal solution. Actually, this challenging problem can be modeled as a global optimization problem, where the network working and backup elements such as nodes, links, encryption keys and their energy consumption are considered as a resource, and their utilization should be minimized. The case studies confirm that there is a trade-off optimal solution between the capacity efficiency and energy efficiency to achieve the dependable WCNs.
