Provisioning Converged Applications and Services via the Cloud

2013 ◽  
pp. 248-269
Author(s):  
Michael Adeyeye
Keyword(s):  
Large Scale ◽  
Hybrid Architecture ◽  
Web Browsers ◽  
Internet Applications ◽  
Rich Internet Applications ◽  
Content Sharing ◽  
Huge Data ◽  
Rich Media ◽  
Application Programming ◽  
Programming Interfaces

The cloud is becoming an atmosphere to store huge data and deploy massive applications. Using virtualization technologies, it is economical and feasible to provide testbeds in the cloud. The convergence of Next Generation (NG) networks and Internet-based applications may result in the deployment of future rich Internet applications and services in the cloud. This chapter shows the migration of mobility-enabled services to the cloud. It presents a SIP-based hybrid architecture for Web session mobility that offers content sharing and session handoff between Web browsers. The implemented system has recently evolved to a framework for developing different kinds of converged services over the Internet, which are similar to services offered by Google Wave and existing telephony Application Programming Interfaces (APIs). In addition, the work in this chapter is compared with those similar technologies. Lastly, the authors show efforts to migrate the SIP/HTTP application server to the cloud, which was necessitated by the need to include more functionalities (i.e., QoS and rich media support) as well as to provide large-scale deployment in a multi-domain scenario.

Case Studies Using Adobe™ Flex

2014 ◽  
pp. 210-226
Keyword(s):  
Web Services ◽  
Case Studies ◽  
Third Party ◽  
Internet Applications ◽  
Rich Internet Applications ◽  
Representational State Transfer ◽  
State Transfer ◽  
Application Programming ◽  
Restful Web Services ◽  
Programming Interfaces

REpresentational State Transfer (REST) is an architectural style that has recently emerged as a new approach to develop and deliver Web services. In fact, a great number of companies, such as eBay™, Twitter™, and Amazon.com™, have adopted REST to deliver Web services and Web feeds. This chapter offers a review of the support for consuming RESTful Web services in Adobe™ Flex™; then, it presents two case studies about the development of third-party RESTful Web services-based Rich Internet Applications (RIAs) using Adobe Flex™ along with HyperText Markup Languages (HTML) and JavaScript. The case studies presented in this chapter are intended to explain the common prerequisites for using RESTful Web services Application Programming Interfaces (APIs) as well as the particular implementation details, including the challenges and alternatives facing the capabilities and limitations of the target technologies. In addition, they exemplify the use of some User Interface (UI) patterns.

scholarly journals DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning

2017 ◽  
Author(s):  
Xiaodong Gu ◽  
Hongyu Zhang ◽  
Dongmei Zhang ◽  
Sunghun Kim
Keyword(s):  
Sequence Learning ◽  
Large Scale ◽  
Intelligent System ◽  
State Of The Art ◽  
Source Code ◽  
Computer Programs ◽  
Experimental Results ◽  
Multiple Devices ◽  
Application Programming ◽  
Programming Interfaces

Computer programs written in one language are often required to be ported to other languages to support multiple devices and environments. When programs use language specific APIs (Application Programming Interfaces), it is very challenging to migrate these APIs to the corresponding APIs written in other languages. Existing approaches mine API mappings from projects that have corresponding versions in two languages. They rely on the sparse availability of bilingual projects, thus producing a limited number of API mappings. In this paper, we propose an intelligent system called DeepAM for automatically mining API mappings from a large-scale code corpus without bilingual projects. The key component of DeepAM is based on the multi-modal sequence to sequence learning architecture that aims to learn joint semantic representations of bilingual API sequences from big source code data. Experimental results indicate that DeepAM significantly increases the accuracy of API mappings as well as the number of API mappings when compared with the state-of-the-art approaches.

Mashup Service Recommendation Based on Usage History and Service Network

2013 ◽  
Vol 10 (4) ◽  
pp. 82-101 ◽  
Author(s):  
Buqing Cao ◽  
Jianxun Liu ◽  
Mingdong Tang ◽  
Zibin Zheng ◽  
Guangrong Wang
Keyword(s):  
Web Application ◽  
Large Scale ◽  
Web Applications ◽  
Rapid Development ◽  
Prototype System ◽  
Service Recommendation ◽  
Service Usage ◽  
Service Network ◽  
Application Programming ◽  
Programming Interfaces

With the rapid development of Web2.0 and its related technologies, Mashup services (i.e., Web applications created by combining two or more Web APIs) are becoming a hot research topic. The explosion of Mashup services, especially the functionally similar or equivalent services, however, make services discovery more difficult than ever. In this paper, we present an approach to recommend Mashup services to users based on usage history and service network. This approach firstly extracts users' interests from their Mashup service usage history and builds a service network based on social relationships information among Mashup services, Web application programming interfaces (APIs) and their tags. The approach then leverages the target user's interest and the service social relationship to perform Mashup service recommendation. Large-scale experiments based on a real-world Mashup service dataset show that the authors' proposed approach can effectively recommend Mashup services to users with excellent performance. Moreover, a Mashup service recommendation prototype system is developed.

scholarly journals Asia Network: An API-based cyberinfrastructure for the flexible topologies of digital humanities research in Sinology

2018 ◽  
Author(s):  
Hou Ieong Ho ◽  
Sean H. Wang ◽  
Pascal Belouin ◽  
Shih-Pei Chen
Keyword(s):  
Digital Humanities ◽  
Large Scale ◽  
Fair Use ◽  
Third Party ◽  
Infrastructure Development ◽  
Asian Studies ◽  
Loosely Coupled ◽  
Application Programming ◽  
Programming Interfaces ◽  
Research Tools

Digital humanities (DH) is a burgeoning field of research in Sinology and Asian studies more broadly, and its diversity and maturity necessitate a cyberinfrastructure fit for DH-focused Sinologists’ specific needs. “Asia Network” is our solution. It is a pioneering approach for resource dissemination and emerging data analytics (such as text mining and other fair-use, consumptive research techniques) in the humanities. It is a language-agnostic software that facilitates the secure linkage between third-party research tools to different third-party textual collections (both licensed and open-access ones) via application programming interfaces (APIs). It revolutionizes how scholars can work with textual sources by promoting a flexible, networked approach to e-infrastructure development. Crucially, Asia Network is a loosely-coupled software with flexible topologies; it can enable both federated or centralized linkages, and it can even “disappear” as long as its API standards remain in place to facilitate communications among databases and tools in the back-end. Thus, unlike large-scale infrastructural projects, Asia Network actively lowers the profile of centralized infrastructure and instead promotes existing tools and resources by enabling their interoperability. As a result, it allows scholars to fully leverage the potential of material digitization and digital research tools without re-creating silos of resources in the digital realm.

scholarly journals Addressing Semantics Standards for Cloud Portability and Interoperability in Multi Cloud Environment

Symmetry ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 317
Author(s):  
Chithambaramani Ramalingam ◽  
Prakash Mohan
Keyword(s):  
Service Providers ◽  
Research Work ◽  
Cloud Service ◽  
Cloud Services ◽  
Cloud Environment ◽  
Cloud Service Providers ◽  
Application Programming ◽  
Increasing Demand ◽  
Programming Interfaces ◽  
Multi Cloud

The increasing demand for cloud computing has shifted business toward a huge demand for cloud services, which offer platform, software, and infrastructure for the day-to-day use of cloud consumers. Numerous new cloud service providers have been introduced to the market with unique features that assist service developers collaborate and migrate services among multiple cloud service providers to address the varying requirements of cloud consumers. Many interfaces and proprietary application programming interfaces (API) are available for migration and collaboration services among cloud providers, but lack standardization efforts. The target of the research work was to summarize the issues involved in semantic cloud portability and interoperability in the multi-cloud environment and define the standardization effort imminently needed for migrating and collaborating services in the multi-cloud environment.

Sign in / Sign up

Export Citation Format

Share Document