Titlebook: Web Services – ICWS 2018; 25th International C Hai Jin,Qingyang Wang,Liang-Jie Zhang Conference proceedings 2018 Springer International Pub

Aspiration

TProv: Towards a Trusted Provenance-Aware Service Based on Trusted Computings. Provenance is an essential approach to establish data and system trustworthiness for cloud computing services, as it summarizes the history of objects and the actions performed on them. However, the current existing provenance-aware solutions either depend on applications in the user-space or fai

propose

污穢

Privacy-Preserving Homomorphic MACs with Efficient Verificationa returned by the server are correct. Recently, much effort has been independently focused on whether a homomorphic MAC scheme supports data confidentiality or the authenticators can be efficiently verified. In this paper, we address the question of whether it is possible for homomorphic MAC to simu

Hemiparesis

Security Analysis of Container Images Using Cloud Analytics Frameworkfor operating and maintaining secure container environments. One such challenge is to retain the ability to detect and address the containers’ vulnerabilities and compliance violations. However, designing an effective solution to enable this capability must be based on the accurate understanding of

eustachian-tube

Nerve-Block

A Decentralized Sharding Service Network Framework with Scalabilityever, the very restricted performance and enormous energy consumption makes blockchain faltering. In this paper, we proposed a sharding blockchain framework with linear scalability. Unlike other frameworks with sharding, our model needs no centralized organization to assemble messages from subcommit

向下

An Open Access Platform for Analyzing Artistic Style Using Semantic Workflowsboth standard computer vision image processing techniques and state-of-the-art methods such as convolutional neural networks to analyze images. These workflows can be used online by non-experts without needing any technical knowledge other than being able to use a browser..We designed three artistic

Brochure

Accelerating Training for Distributed Deep Neural Networks in MapReducee assigned to multiple Graphics Processing Units (GPUs) in parallel training. But there are some obstacles to deploy parallel training in GPU cloud services. DNN has a tight-dependent layering structure where the next layer feeds on the output of its former layer. It is unavoidable to transmit big o

Nonporous

Large-Scale QoS-Aware Service Composition Integrating Chained Dynamic Programming and Hybrid Pruningxisting research studies are still unfavorable toward making an ideal trade-off between quality and efficiency, particularly in large-scale scenarios. To address this issue, this paper proposes a composition mechanism that effectively and efficiently minimizes the number of services in the compositi

Harbor

Supervised Web Service Composition Integrating Multi-objective QoS Optimization and Service Quantityintensive researches on QoS-aware web service composition. Correspondingly, to optimize not only QoS but also service quantity in a composition has also been increasingly challenging. Currently, there are already many researches on service composition addressing the optimization of multiple QoS attr