Survey of Smart Contract Technology and Application Based on Blockchain

With the vigorous development of blockchain technology represented by Bitcoin, blockchain technology has gradually surpassed the era of programmable currency and entered the era of smart contracts. Smart contracts are event- driven and stateful. With the in-depth development of blockchain technology, smart contracts use protocols and user interfaces to complete all steps of the contract process, allowing users to implement personalized code logic on the blockchain. Contract technology has the characteristics of decentralization, autonomy, observability, verifiability, and information sharing. It can effectively build programmable finance and programmable society, and is widely used in digital payment, financial asset disposal, multi-signature contracts, cloud computing, Internet of Things, sharing economy and other fields. First, it explains the basic concepts, full life cycle, basic classification, basic structure, key technologies, development status and main technology platforms of smart contracts;then discusses the application scenarios and development issues of smart contract technology, aiming to provide smart contract technology. The research and development provides reference.

The Benefits of Using Google Cloud Computing for Developing Distributed Applications

IT as a dynamic filed changes very rapidly; efficient management of such systems for the most of the companies requires handling tremendous complex situations in terms of hardware and software setup. Hardware and software itself changes quickly with the time and keeping them updated is a difficult problem for the most of the companies; the problem is more emphasized for the companies having large infrastructure of IT facilities such as data centers which are expensive to be maintained. Many applications run on the company premises which require well prepared staff for successfully maintaining them. With the inception of Cloud Computing many companies have transferred their applications and data into cloud computing based platforms in order to have reduced maintaining cost, easier maintenance in terms of hardware and software, reliable and securely accessible services. The benefits of building distributed applications using Google infrastructure are conferred in this paper.

On the long-term joint distribution of characteristic wave height and period and its application

By analysing the scatter diagrams of characteristic the wave height H and the period T on the basis of instrumental data from various ocean wave stations, we found that the conditional expectation and standard deviation of wave period for a given wave height can be better predicted by using the equations of normal linear regression rather than by those based on the log- normal law. The latter was implied in Ochi' s bivariate log-normal model(Ochi. 1978) for the long-term joint distribution of H and T. With the expectation and standard deviation predicted by the normal linear regression equations and applying proper types of distribution, we have obtained the conditional distribution of T for given H. Then combining this conditional P(T / H) with long-term marginal distribution of the wave height P(H) we establish a new parameterized model for the long-term joint distribution P(H,T). As an example of the application of the new model we give a method for estimating wave period associated with an extreme wave height.

Reliability analysis of extended generalized inverted exponential distribution with applications

A general version of the inverted exponential distribution is introduced, studied and analyzed. This generalization depends on the method of Marshall-Olkin to extend a family of distributions. Some statistical and reliability properties of this family are studied. In addition, numerical estimation of the maximum likelihood estimate（MLE） parameters are discussed in details. As an application, some real data sets are analyzed and it is observed that the presented family provides a better fit than some other known distributions.

Surface distribution of alkalinity and specific alkalinity and their application to water mass tracing in Kuroshio area of the East China Sea

Surface distribution and seasonal variation of alkalinity and specific alkalinity in Kuroshio area of the East ChinaSea and their application to the water mass tracing are discussed in this paper. Results show a distinct seasonal variation of the alkalinity, which is concerned with the process of vertical mixing. Different specific alkalinity in various water masses has been found. On the basis of the difference of the specific alkalinity and the distribution of alkalinity, two water fronts in summer season, located at 27°-30°N and 124°-1 27°E, (Ⅰ), and at the northern waters about one latitude from the Taiwan Island, (Ⅱ); one in winter season at about one longitude from coast of mainland of China and 26°-30°N were found. In summer season, about 1-2 longitudes eastward shift of front (Ⅰ) is found by comparison of data in May and August. And the high alkalinity of the northern East China Sea in summer season may be caused by the Huanghe River runoff flowing southward along with the Huanghai Sea Coastal Current.

Analysis of the Framework of Microsoft DNA

Microsoft DNA(Distributed interNet Application) has p rovided a effective framework of combination PC with the Internet perfectly; In addition, this open framework hase also given the integration of multilingual co mponents a strong managing platform. This article has deeply analysed the main technologys of Microsoft DNA, involve COM basic technology, framework of DNA, Microfost UDA(Universal Data Access),com ponent management with COM+, asynchronous communication with MSMQ(M icrosoft Message Queue). In addition, based on a comparative analysise with the C/S(Client/Server) framework, the author has illustrated the excellency of the Multi-tier framework of Microsoft DNA.

Safety Guide-Line and Requirements for Distributed Raman Amplification and its Applications to WDM Transmission Systems

This paper discusses optical safety issues in distributed Raman amplification systems. Given the extremely high pump powers, network service operators have critical issues for safety. This paper focuses on both " eye-hazard" and " fire-hazards" .

A Distributed Error Recovery Technique and Its Implementation and Application on UNIX

This paper presents a checkpoint setting technique to eliminate domino effect in backward recovery in distributed systems,which is very efficient,powerful,widely applicable and easy to be implememted.Besides theoretical analysis,an implementation on UNIX system and a package for software fault-tolerance are in- troduced.Then the problems of checkpoint management and process termination are discussed.

Globus Toolkit Version 4： Software for Service-Oriented Systems

The Globus Toolkit （GT） has been developed since the late 1990s to support the development of serviceoriented distributed computing applications and infrastructures. Core GT components address, within a common framework, fundamental issues relating to security, resource access, resource management, data movement, resource discovery, and so forth. These components enable a broader ＂Globus ecosystem＂ of tools and components that build on, or interoperate with, GT functionality to provide a wide range of useful application-level functions. These tools have in turn been used to develop a wide range of both ＂Grid＂ infrastructures and distributed applications. I summarize here the principal characteristics of the recent Web Services-based GT4 release, which provides significant improvements over previous releases in terms of robustness, performance,, usability, documentation, standards compliance, and functionality. I also introduce the new ＂dev.globus＂ community development process, which allows a larger community to contribute to the development of Globus software.

A Blockchain-Based Protocol for Malicious Price Discrimination

Serious price discrimination emerges with the development of big data and mobile networks,which harms the interests of consumers.To solve this problem,we propose a blockchain-based price consensus protocol to solve the malicious price discrimination faced by consumers.We give a mathematical definition of price discrimination,which requires the system to satisfy consistency and timeliness.The distributed blockchain can make the different pricing of merchants transparent to consumers,thus satisfying the consistency.The aging window mechanism of our protocol ensures that there is no disagreement between any node on the consensus on price or price discrimination within a fixed period,which meets the timeliness.Moreover,we evaluate its performance through a prototype implementation and experiments with up to 100 user nodes.Experimental results show that our protocol achieves all the expected goals like price transparency,consistency,and timeliness,and it additionally guarantees the consensus of the optimal price with a high probability.