There is a huge demand for API based approach in the field of multimedia as it devoid many platform approach. We chose the audio from multimedia as it has both entertainment and social cause aspect. In the field journalism, there is a huge demand for audio application with cloud support. They can be effectively used for providing news at a faster rate than video. They can also effectively used to provide social problem to our perspective with a valid proof. They can also expose social and political criminals with good and effective proof. They can act as an eye opener for the public. Audio is easily consumed by news agency and it can be captured easily under any circumstances as less bandwidth is required. Our direction towards this RESTAPI when the demand for dedicated embedded device with security features aroused. The RESTAPI can be contacted by XML and responds with an XML that can be effectively used from small to large device without any platform dependency. Moreover our API is aimed at multi API consumption feature with security that can promote on the fly upload of recorded sound to cloud. Thus the evidence is easily uploaded to cloud with anonymity support and can’t be destroyed as it happens today with devices. Thus our product provides much pronounced features for detective agency, news agency and multimedia lovers.
The new RESTAPI helps to simplify the architecture of code running inside the experi- ment’s framework, as well. In fact, while the Oracle-based GeometryDB has a table structure well suited for managing the storage and the versioning of all the different pieces of informa- tion about the detector’s geometry, we do not need the same kind of complexity in read-only operations performed in a typical data-processing job running inside the Athena framework. Hence, the use of a RESTAPI improves the development and the maintenance of applica- tions, both Athena-based and standalone.
In this work, we propose a framework for the formal specification of RESTAPI Services for Modbus Protocol using SDL based system. The purpose of this framework is to provide a formal basis for their performance evaluation and behavioral study. The rest of the paper is organized as follows. Section 4. illustrates specification design of RESTAPI Services for Modbus Protocol using formal SDL language. Section 5 describes of verification and validation of the protocol to rule out design errors. Section 5 illustrates experimental simulations with results and Section 6. provides our conclusion.
Abstract: The issue of sharing real time data with others is paramount, especially in today’s digital age. We have lots of applications generating tons of data every minute. Each and every row of such data is useful either to the data generator or to a third party application. But we need a standard set of protocols to share data between applications over a network. This is where Application Programming Interfaces comes in. By using web services any application can share and read information automatically from other applications without human interference. This greatly advances the data sharing between applications, hence improving the services, productivity and user experience. We identified that soccer and sports in general pumps large amount of data into the internet, with no proper way to leverage it. Hence, we will be building a system, that collects this massive data from 1993 all the way up to the present time and will continue to do so automatically as long as there is data to mine, and a RESTAPI on top of it so that the client/developers can access this data in a slick, automated, efficient and a fast way. This paper deals with various ways of leveraging data available online as well as an in detail comparison of the two major types of web services namely: SOAP & REST. It then goes on to detail the architectural styles and the design considerations to build RESTAPI from scratch.
From a different viewpoint, the paradigm of machine-to-machine communication (M2M) is an important part of the internet of things (IoT) in which there is interaction data exchange between machines with sensors. Its main objective is to build a world- scale intelligent systems that involve interaction between machines without requiring interaction with humans. If the mechanism of this interaction is standardized (e.g. With RESTAPI), it can facilitate the realization of these objectives .
The first versions of our interface specifications were Word and Portable Document Format (PDF) files, which contained the API methods, use cases, and examples of how to use the API. This approach, in combination with HTML web pages, is a very common one for the documentation of web APIs , such as RESTful web services. The approach does have a couple of obvious issues. Firstly, there is the constant task of formatting and editing the documentation, which always seems to be a tedious process regardless of how well your documentation templates are made. The second issue is keeping the example code up-to-date, in this case, the RESTAPI method call examples. The second problem is a very common one, and research generally confirms that documentation is often lacking or outdated [7. Examples are also one of the most important sources of information and that missing examples can be a serious obstacle to learning how to use a specific API . Naturally, it follows that automatically generated documentation in combination with examples would make things much easier, and studies show that majority of web APIs provide examples for developers . In many cases the usage examples with example code, required data formats and recommended parameters are the most usable support for developers, but often these are also the most tedious parts of the documentation to keep updated. If only method declarations and parameters are to be documented without usage examples, this can be easily enough achieved with standard Javadoc, but it can be challenging to find tools for automatically generating usable examples. The research also suggests that successful frameworks often use automated builds to guarantee more consistent and better maintained documentation . The solutions should have low overhead , be simple enough to remain useful and preferably be something that the programmer can implement whilst writing the source code. Additionally, research suggests that for maintenance, the source code is the most important artifact , so it makes sense to assume that whatever the solution is, it should be implemented on the source code level, and not somewhere externally.
The system will be helpful in lot of ways to analyse the RESTapi implementation. Proposed system can be used for complex web service. Once the implementation is completed, the implementation and the documentation provided prior to actual implementation both are checked by this system and result is generated accordingly. If implementation lacks some functionality or property related to any resource it will be prompted to developer. The approach described can also be used to check
Configuration representation in the ONOS Intent Framework is simple with both interfaces, GUI and CLI. The difference is that in the GUI the path that packets are forwarded through can be visualized in the current topology, i.e. by selecting a device all related intents’ connections are highlighted, however with this approach it is difficult to identify the effect of individual intents when multiple intents are installed. The ONOS CLI presents a representation of intents so users can easily understand an intent’s functionality and also define ingress and egress ports. The ONOS RESTAPI provides very similar representation of intents as JSON objects, which also contain some control information, but remain readable.
Abstract: Web Services are combination of open protocols and standards to allow communication between client and server. It provides an interoperability between contrasting applications. Representational state Transfer (REST) and Simple Object Access Protocol (SOAP) are the two main popular used web services now-a-days. REST is an architectural style based, whereas SOAP is a underlying protocol. Both services are used to handle the communication on the world wide web (www). Both services have some advantages and drawbacks and it is the decision of web developer to decide which service is best to use according to its requirements. The aim of this research work is to design a RESTAPI and SOAP API by JAX-RS and JAX-WS, respectively and gives a comparative analysis of Application Programming Interface (API) features (in terms of response time, memory usage, execution speed and so on) of these services by using API testing tool like Postman. This gives insight view of which service is better to use as per requirements. The result of experiments shows that the response time of SOAP is approximate takes 4ms to 7ms more than REST. It has been observed that as number of API increases, SOAP takes approximate 1MB to 2MB more memory usage than REST.
Dagenais and Robillard  developed a tool called RecoDoc that relies on a technique which identifies code- like terms in developer documentation and support chan- nels and links these terms to fine-grained code elements in an API (e.g., class, method, field). They identify code- like terms from free-form text by using lightweight regular expressions and from code fragments by using partial program analysis (PPA). Their technique is based on the assumption that code elements mentioned in close vicin- ity are more likely to be related than code elements mentioned further apart, so they take into account the context in which a code-like term is mentioned—context refers to additional information in various scopes sur- rounding the term . They also identified sources of ambiguity inherent to linking code-like terms in unstruc- tured natural language documents. To resolve these ambi- guities, they applied a set of filtering heuristics. For example, for a given term identified as a member (e.g., method, field), the declaration ambiguity filter analyzes the context of this term trying to find its declaring type.
the body, headers and request parameters. These functions have been implemented, and trans- form the request into internal messages or respond with values that are already present. The implementation complexity lies for the most part in the long polling mechanism. This mech- anism needs to manage open connections with the clients and send messages to these clients as these arrive in the component. Customers have to implement the client-side mechanism for long polling. Overall, generating client and server side code can help reduce programmer errors and also automatically parses the messages that are exchanged between the client and the server. The OpenAPI description can also be used as an asset to generate documentation. Our implementation validated that cross-cutting features can be implemented in the API Gateway with minimal code impact on the server-side. All features chosen for this study could be implemented without any code changes to the services in the reactive architecture. Bench- marking tests were executed to determine the round trip delays of a request to the reactive architecture that passes the API gateway and the HTTP/REST server. Several configurations of the API gateway were tested, which contain authentication, traceability and request trans- formation. These tests showed that the API gateway and REST library introduce a delay that is well within the bounds of the requirements that were set at the beginning of the research. 7.1.4 General conclusions
Cloud comes with privacy, efficiency, expense of resilience and environmental sustainability, provide by cloud vendors like Google, Amazon, Microsoft and Salesforce .Today there is a need of huge amount of electronic data. This leads to huge volume of data storage space to store this large amount of data. Cloud computing provides lot of services, in this storage plays the lead role because of cheaper and secure storage. Cloud vendors provides this services as economically unlimited electronic data storage space .This storage services can be done in remotely hosted facilities. Data stored with these vendors is accessible through the internet or WAN. The need of data backup services is growing rapidly day by day for following reasons data theft, network failure, disaster loss. The important need of data backup is for migrate our data from one cloud vendor to another vendor. Already we have some data back-up techniques but they have many reliable and security problems. These data backup techniques are not comfortable and affordable. Some cloud vendors are providing this service for high cost. To find efficient and cheaper data backup and recovery problem, it requires more safe and effective system. Here we introduce one solution for cheaper and efficient data back up from cloud vendors by using API integration .This technique can be implemented by our legacy machine hard drives which is very cheaper, secure and reliable. Although the various table text styles are provided. The formatter will need to create these components, incorporating the applicable criteria that follow.
Applications (clicking the mouse, inputting text, etc.) in the applications will lead to one or more API function calls, and then the API functions accomplish functions what the application wants to. In essence, Windows API is a set of predefined functions which control the appearance and behavior of Windows controllers, and it is stored in the dynamic link libraries (Dynamic Link Library, DLL). According to different functions, WIN32 API functions can be divided into the following categories  : Window management class, common controller window class, SHELL feature class, system service class, international character class, network service class.
Amazon Web Services in Action introduces you to com- puting, storing, and networking in the AWS cloud. The book will teach you about the most important services on AWS. You will also learn about best practices regard- ing security, high availability and scalability.You'll start with a broad overview of cloud computing and AWS and learn how to spin-up servers manually and from the command line. You'll learn how to automate your infrastruc- ture by programmatically calling the AWS API to control every part of AWS. You will be introduced to the concept of Infrastructure as Code with the help of AWS Cloud- Formation.You will learn about different approaches to deploy applications on AWS. You'll also learn how to secure your infrastructure by isolating networks, controlling traffic and managing access to AWS resources. Next, you'll learn options and tech- niques for storing your data. You will experience how to integrate AWS services into your own applications by the use of SDKs. Finally, this book teaches you how to design for high availability, fault tolerance, and scalability.