Cloud-based desktop services for thin clients

Cloud computing and ubiquitous network availability have renewed people's interest in the thin client concept. By executing applications in virtual desktops on cloud servers, users can access any application from any location with any device. For this to be a successful alternative to traditional offline applications, however, researchers must overcome important challenges. The thin client protocol must display audiovisual output fluidly, and the server executing the virtual desktop should have sufficient resources and ideally be close to the user's current location to limit network delay. From a service provider viewpoint, cost reduction is also an important issue

Data Mining-based Fragmentation of XML Data Warehouses

With the multiplication of XML data sources, many XML data warehouse models have been proposed to handle data heterogeneity and complexity in a way relational data warehouses fail to achieve. However, XML-native database systems currently suffer from limited performances, both in terms of manageable data volume and response time. Fragmentation helps address both these issues. Derived horizontal fragmentation is typically used in relational data warehouses and can definitely be adapted to the XML context. However, the number of fragments produced by classical algorithms is difficult to control. In this paper, we propose the use of a k-means-based fragmentation approach that allows to master the number of fragments through its $k$ parameter. We experimentally compare its efficiency to classical derived horizontal fragmentation algorithms adapted to XML data warehouses and show its superiority

Time Shared Optical Network (TSON): a novel metro architecture for flexible multi-granular services

This paper presents the Time Shared Optical Network (TSON) as metro mesh network architecture for guaranteed, statistically-multiplexed services. TSON proposes a flexible and tunable time-wavelength assignment along with one-way tree-based reservation and node architecture. It delivers guaranteed sub-wavelength and multi-granular network services without wavelength conversion, time-slice interchange and optical buffering. Simulation results demonstrate high network utilization, fast service delivery, and low end-to-end delay on a contention-free sub-wavelength optical transport network. In addition, implementation complexity in terms of Layer 2 aggregation, grooming and optical switching has been evaluated

Efficient Dynamic Searchable Symmetric Encryption Over Medical Cloud Data

Many web computing systems are running constant database services where their data change consistently and grow incrementally. In this unique circumstance, web data services have a noteworthy part and attract huge changes observing and controlling the data honesty and data spread. At present, web telemedicine database services are of focal significance to distributed systems. Be that as it may, the expanding many-sided quality and the fast development of this present reality social insurance testing applications make it difficult to instigate the database authoritative staff. The proposed approach is approved inside by measuring the effect of utilizing our computing services systems on different execution highlights like interchanges cost, reaction time, and throughput. The outcomes demonstrate that our incorporated approach essentially enhances the execution of web database systems and beats its partners. The strategies for workload-mindful anonymization for determination predicates have been examined in the writing. Notwithstanding, to the best of our insight, the issue of fulfilling the exactness limitations for different parts has not been examined some time recently. In our detailing of the previously mentioned issue, we propose heuristics for anonymization calculations and show observationally that the proposed approach fulfills imprecision limits for a bigger number of consents and has bring down aggregate imprecision than the present cutting edge and Fully Authenticated towards aggressor and data recovery