Automatic Classification Method of Web Services in Cloud Environment

2014 ◽  
Vol 543-547 ◽  
pp. 2933-2936
Author(s):  
Jun Rong Li ◽  
Wen Bo Zhou ◽  
Li Wen Mu ◽  
Tong Yu Yin ◽  
Yuan Li Feng
Keyword(s):  
Web Services ◽  
Web Service ◽  
Cloud Service ◽  
Cloud Services ◽  
Classification Method ◽  
Cloud Environment ◽  
Research Topics ◽  
Resource Requirements ◽  
Service Resource ◽  
Service Site

Different cloud services need different resources, how to use the resources efficiently has become one of the hot research topics about cloud computing. In order to improve the utilization of resources in cloud, this paper proposes an automatic cloud service classification method, which uses an artificial neural network to predict the type of service resource requirements, and classifies services based on the predicting result. In this paper, we do classification experiments on three groups of Web services on Web service site. The experiment results show that, the method is effective and can predict the type of resource requirements for Web services automatically.

scholarly journals A walkthrough of Amazon Elastic Compute Cloud (Amazon EC2): A Review

2021 ◽  
Vol 9 (11) ◽  
pp. 93-97
Author(s):  
Anurag Choudhary
Keyword(s):  
Web Services ◽  
Web Service ◽  
Service Provider ◽  
Virtual Machines ◽  
Cloud Service ◽  
Cloud Services ◽  
Working Environment ◽  
Future Research ◽  
Amazon Web Services ◽  
Virtual Platform

Abstract: Cloud services are being provided by various giant corporations notably Amazon Web Services, Microsoft Azure, Google Cloud Platform, and others. In this scenario, we address the most prominent web service provider, which is Amazon Web Services, which comprises the Elastic Compute Cloud functionality. Amazon offers a comprehensive package of computing solutions to let businesses establish dedicated virtual clouds while maintaining complete configuration control over their working environment. An organization needs to interact with several other technologies; however, instead of installing the technologies, the company may just buy the technology available online as a service. Amazon's Elastic Compute Cloud Web service, delivers highly customizable computing capacity throughout the cloud, allowing developers to establish applications with high scalability. Explicitly put, an Elastic Compute Cloud is a virtual platform that replicates a physical server on which you may host your applications. Instead of acquiring your own hardware and connecting it to a network, Amazon provides you with almost endless virtual machines to deploy your applications while they control the hardware. This review will focus on the quick overview of the Amazon Web Services Elastic Compute Cloud which also containing the features, pricing, and challenges. Finally, unanswered obstacles, and future research directions in Amazon Web Services Elastic Compute Cloud, are addressed. Keywords: Cloud Computing, Cloud Service Provider, Amazon Web Services, Amazon Elastic Compute Cloud, AWS EC2

scholarly journals A Generic Model for Identifying QoS Parameters Interrelations in Cloud Services Selection Ontology during Runtime

Symmetry ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 563
Author(s):  
Babu Rajendiran ◽  
Jayashree Kanniappan
Keyword(s):  
Service Providers ◽  
Cloud Service ◽  
Cloud Services ◽  
Operating Costs ◽  
Generic Model ◽  
Business Organizations ◽  
Cloud Environment ◽  
Cloud Service Provider ◽  
Qos Parameters ◽  
Computer Based

Nowadays, many business organizations are operating on the cloud environment in order to diminish their operating costs and to select the best service from many cloud providers. The increasing number of Cloud Services available on the market encourages the cloud consumer to be conscious in selecting the most apt Cloud Service Provider that satisfies functionality, as well as QoS parameters. Many disciplines of computer-based applications use standardized ontology to represent information in their fields that indicate the necessity of an ontology-based representation. The proposed generic model can help service consumers to identify QoS parameters interrelations in the cloud services selection ontology during run-time, and for service providers to enhance their business by interpreting the various relations. The ontology has been developed using the intended attributes of QoS from various service providers. A generic model has been developed and it is tested with the developed ontology.

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.

Web Services in China

2014 ◽  
pp. 267-286 ◽  
Author(s):  
Dong Dong ◽  
Lizhe Sun ◽  
Zhaohao Sun
Keyword(s):  
Web Services ◽  
Social Networking ◽  
Web Service ◽  
Chinese Culture ◽  
Service Providers ◽  
Cloud Services ◽  
Mao Zedong ◽  
Chinese Traditional Culture ◽  
Ict Industry ◽  
Communication Conventions

This chapter examines Web services in China. More specifically, it examines the state-of-the-art of China's Web services in terms of cloud services, mobile services, and social networking services through exploring several leading Web service providers in the ICT industry, including Alibaba, Tencent, China Mobile, and Huawei. This research reveals that the Chinese culture has played an important role in the success of China's Web services. The trade-off ideology and communication conventions from Chinese traditional culture, as well as Mao Zedong thought, greatly influenced the development of China's Web services. The findings of this chapter might facilitate the research and development of Web services and better understanding of the growth in China's ICT industry, as well as future trends.

scholarly journals Dynamic High Availability Architecture Framework for SOA Computing

2018 ◽  
Vol 7 (3.12) ◽  
pp. 740
Author(s):  
S Kumaresan ◽  
Sumithra Devi.K.A
Keyword(s):  
Real Time ◽  
Cloud Service ◽  
High Availability ◽  
Cloud Services ◽  
Loose Coupling ◽  
Cloud Environment ◽  
Architecture Framework ◽  
Generic Architecture ◽  
Multiple Platform ◽  
Complicated Situation

In Software technology stackCloud services provides easy coupling implementation to enhance encapsulation data between multiple platform data exchanges. My finding towards  introducing High Availability Architecture for cloud environment which covers Load Balancing, Failover, High Availability Resources. To achieve thisfeatures it’s identified framework architecture which is called as Dynamic High Availability Architecture Framework for SOA Computing which increase cloud services standard inhigh witheasy adaptable security. Even though cloud service supports loose coupling and isolation business logics. At current cloud service provide wants to launch new web service request on fly same service will notnotified into client in real-time scenario.  To overcome this complicated situation we have introduced (GHAFC) Generic Architecture Framework in Cloud Computing. Which will support data exchanges between producer and consumer onthe fly with real time scenario.

Web Service Composition in Cloud: A Fuzzy Rule Model

2020 ◽  
Vol 13 (3) ◽  
pp. 446-453
Author(s):  
Hussien Alhadithy ◽  
Bassam Al-Shargabi
Keyword(s):  
Cloud Computing ◽  
Web Services ◽  
Web Service ◽  
Fuzzy Rule ◽  
Fuzzy Rules ◽  
Experimental Result ◽  
User Requirements ◽  
Cloud Environment ◽  
Proposed Model ◽  
Rule Approach

Background: Cloud Computing has drawn much attention in the industry due to its costefficient schema along with more prospects, such as elasticity and scalability nature of Cloud Computing. One of the main service models of a Cloud is software as a service, where many web services are published and hosted in the Cloud environment. Many web services offered in a Cloud have similar functionality, with different of characteristics non-functional requirements such as Quality of Service (QoS). In addition, as individual web services are limited in their capability. Therefore, there is a need for composing existing services to create new functionality in the form of composite service to fulfill the requirements of Cloud user for certain processes. Methods: This paper introduces a fuzzy rule approach to compose web service based on QoS from different Cloud Computing providers. The fuzzy rule is generated based on QoS of discovered web service from Cloud in order to compose web services that only match user requirements. The proposed model is based on an agent that is responsible for discovering and composing web service that only stratified user requirements. Results: the experimental result shows that the proposed model is efficient in terms of time and the use of fuzzy rules to compose web services from different Cloud providers under different specifications and configurations of Cloud Computing environment. Conclusion: In this paper, an agent-based model was proposed to compose web services based on fuzzy rule in Cloud environment. The agent is responsible for discovering web services and generating composition plans based on offered QoS for each web service. The agent employs a set of fuzzy rules to carry out an intelligent selection to select the best composition plan that fulfills the requirements of the end user. The model was implemented on CloudSim to ensure the validity of the proposed model and performance time analysis was performed that showed good result in terms of time with regard to the Cloud Computing configuration.

scholarly journals A service-oriented cloud modeling method and process

2020 ◽  
Vol 10 (1) ◽  
pp. 962
Author(s):  
Chee-Yang Song ◽  
Eun-Sook Cho
Keyword(s):  
Resource Sharing ◽  
Cloud Service ◽  
Modeling Method ◽  
Cloud Services ◽  
Distributed Services ◽  
Model Driven ◽  
Service Resource ◽  
Service Oriented ◽  
Cross Platform ◽  
Cloud Modeling

The transition of software development from web to cloud has been accelerated. The development of cloud services requires a modeling method that reflects the characteristics of cloud including personalized service, resource sharing service, grouped and distributed services, and cross-platform operability. This study aimed to suggest a method of developing UML-based cloud services suitable for the characteristics of cloud services. A cloud service metamodel was defined using cloud applications’ characteristic modeling elements, and after that, how these cloud modeling elements are expressed into UML modeling elements was defined with an integrated metamodel between cloud and UML. By applying this hierarchical cloud metamodel, an MDA and MVC-based service-oriented cloud modeling process was established. By doing so, it will be possible to easily design services (applications) and solutions that are suitable for cloud computing environments, and in particular, to create hierarchical reuse models by the level of the abstraction of model-driven development.

scholarly journals A new SLA-aware method for discovering the cloud services using an improved nature-inspired optimization algorithm

2021 ◽  
Vol 7 ◽  
pp. e539
Author(s):  
Arash Heidari ◽  
Nima Jafari Navimipour
Keyword(s):  
Cloud Computing ◽  
Ant Colony Optimization ◽  
Service Discovery ◽  
Cloud Service ◽  
Network Size ◽  
Cloud Services ◽  
Ant Colony ◽  
Cloud Environment ◽  
Cloud Environments ◽  
Cloud Service Discovery

Cloud computing is one of the most important computing patterns that use a pay-as-you-go manner to process data and execute applications. Therefore, numerous enterprises are migrating their applications to cloud environments. Not only do intensive applications deal with enormous quantities of data, but they also demonstrate compute-intensive properties very frequently. The dynamicity, coupled with the ambiguity between marketed resources and resource requirement queries from users, remains important issues that hamper efficient discovery in a cloud environment. Cloud service discovery becomes a complex problem because of the increase in network size and complexity. Complexity and network size keep increasing dynamically, making it a complex NP-hard problem that requires effective service discovery approaches. One of the most famous cloud service discovery methods is the Ant Colony Optimization (ACO) algorithm; however, it suffers from a load balancing problem among the discovered nodes. If the workload balance is inefficient, it limits the use of resources. This paper solved this problem by applying an Inverted Ant Colony Optimization (IACO) algorithm for load-aware service discovery in cloud computing. The IACO considers the pheromones’ repulsion instead of attraction. We design a model for service discovery in the cloud environment to overcome the traditional shortcomings. Numerical results demonstrate that the proposed mechanism can obtain an efficient service discovery method. The algorithm is simulated using a CloudSim simulator, and the result shows better performance. Reducing energy consumption, mitigate response time, and better Service Level Agreement (SLA) violation in the cloud environments are the advantages of the proposed method.

RuCAS

2015 ◽  
Vol 3 (3) ◽  
pp. 57-68 ◽  
Author(s):  
Hiroki Takatsuka ◽  
Sachio Saiki ◽  
Shinsuke Matsumoto ◽  
Masahide Namamura
Keyword(s):  
Web Services ◽  
Web Service ◽  
Real World ◽  
Cloud Services ◽  
Home Network ◽  
Network System ◽  
Context Aware ◽  
Uniform Manner ◽  
Context Aware Service

Machine-to-Machine (M2M) systems and cloud services provide various kinds of data via distributed Web services. A context-aware service recognizes real-world contexts from such data and behaves autonomously. However, it has been challenging to manage contexts and services defined on the heterogeneous and distributed Web services. In this paper, the authors propose a framework, called RuCAS, which systematically creates and manages context-aware service using various Web services. RuCAS describes every context-aware service by an ECA (Event-Condition-Action) rule. For this, an event is a context triggering the service, a condition is a set of contexts to be satisfied for execution, and the action is a set of Web services to be executed by the service. Thus, every context-aware service is managed in a uniform manner. Since RuCAS is published as a Web service, created contexts and services are reusable. As a case study, RuCAS is applied to a real home network system.

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