scholarly journals The supreme agent strategy for efficient searching and manifesting vital cloud services

2018 ◽  
Vol 7 (1.9) ◽  
pp. 182
Author(s):  
Dhanasekaran S ◽  
Vasudevan V
Keyword(s):  
Service Discovery ◽  
Research Work ◽  
Cloud Service ◽  
Cloud Services ◽  
Agent Based ◽  
Time Period ◽  
Effective Manner ◽  
Service Agreement ◽  
Cloud Service Discovery ◽  
Cloud User

The supreme agent technique deals with devise and magnification of software agents for effectively discovery appropriate cloud services, cloud service agreement and cloud service assortment. This research work establishing an agent based strategy for composing variety of relevant cloud services and provides unified virtualized service to the cloud customers in a effective manner. The contribution of research work includes developing cloud service search engine for efficient cloud service discovery, and dealing both provider and consumer by means of supreme agent strategy. This supreme agent scheme uses an enhanced fuzzy based ranking algorithm. This supreme agent system works on behalf of cloud user and provider to list out various cloud providers with necessary information to enable the user to choose relevant cloud service in a reasonable time period. Cloud agreement mechanism facilitates the agreement activities among client agent & intermediate agent also among intermediate agent & supplier agent. Cloud service assortment facilitate the agent vigorously choose the Cloud services and records the display the available cloud services.

scholarly journals A Reliable Agent System for Cloud Service Discovery using MFA Technique

2019 ◽  
Vol 8 (4S2) ◽  
pp. 682-685
Keyword(s):  
Service Discovery ◽  
Research Work ◽  
Cloud Service ◽  
Cloud Services ◽  
Privacy Concern ◽  
Secret Key ◽  
Agent System ◽  
Technical Requirements ◽  
Multifactor Authentication ◽  
Cloud Service Discovery

Reliable Agent system for discovering suitable cloud services are very interesting and challenging process. In this research work, the proposed reliable agents’ authentication is enforced to provide security for cloud data’s. In this proposed method the agent client requires service with specific functional and technical requirements. For privacy concern, we provide authentication for each agent in cloud by using Multifactor authentication process. By using authentication id agents discover the cloud service based on service engine. In our system, we enhance the privacy of the cloud search engine by introducing new authentication technique. The authentication process is done by the use of multi factors such the secret key which is generated based on AES algorithm, biometric of user and the user’s password credentials. Focused Selection Contract Net Protocol is performed to find the relevant cloud service and it plays multiple roles in cloud service discovery. The similarity between the agent’s request and cloud service is computed based on service specifications and consumer service using Cloud ontology. Each legitimate agent provides reliable cloud services for agent clients (users).Service capability Table records the list of cloud service and their corresponding ID and services for reliable cloud discovery

Service Discovery Architecture Applied in Cloud Computing Environments

2012 ◽  
Vol 241-244 ◽  
pp. 3177-3183
Author(s):  
Jie Zhang ◽  
Li Wen He ◽  
Fei Yi Huang ◽  
Bin Liu
Keyword(s):  
Mathematical Modeling ◽  
Cloud Computing ◽  
Service Discovery ◽  
Main Idea ◽  
Cloud Service ◽  
Cloud Services ◽  
Computing Environments ◽  
Performance Analyses ◽  
Theoretical Analyses ◽  
Cloud Service Discovery

This paper proposed a service discovery architecture (SDA) that can be applied in cloud computing environments. This architecture supports common service discovery capabilities to achieve cloud service discovery function in cloud computing environments. The main idea is that, cloud services can be divided into different cloud service domains (CSD) according to the characteristics of the functions of cloud services, each CSD has a sub-service directory, and there is also a root service directory above all sub-service directories. Setting of two-level service directories can achieve the most suitable massive cloud services quickly. Finally, through mathematical modeling, theoretical analyses, and numerical simulations, the performance analyses of the architecture are studied. The results show the validity and advantages of the SDA.

Toward a Unified Ontology of Cloud Computing

2012 ◽  
Vol 3 (2) ◽  
pp. 271-274 ◽  
Author(s):  
Gagan Singh ◽  
Nimrat Kaur ◽  
Manpreet Kaur
Keyword(s):  
Cloud Computing ◽  
Service Discovery ◽  
Cloud Service ◽  
Cloud Services ◽  
Internet Applications ◽  
Discovery System ◽  
User Query ◽  
Ontological Model ◽  
Job Site ◽  
Cloud Service Discovery

The emergences of cloud computing deals in various internet applications developers for hosting various applications which users are in need in this day to day life.the idea is cloud ontology for easy Selection, Publication and Discovery in cloud services. Query Processing Agent, Ontological Similarities.In this paper, purposal is an cloud service discovery system with ontological model, in order to solve,for example: A job site, It’s not an ordinary jobsite but focusing and specializing in matching the users or clients queries related to jobs and displaying the information even by giving options of updating their information which is needed for this Job Domain. This paper implements the cloud ontology technique to make cloud service discovery system efficient for user query in job site. The aim of this paper is to determine how the CSDS with the Cloud ontology achieved better performance than the CSDS without the Cloud ontology. By consulting a Cloud ontology to reason and to rating about the relations among Cloud services, the CSDS is more successful in locating Cloud services and more likely to discover Cloud services that meet consumers‟ requirements.

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.

Towards an Intelligent Framework for Cloud Service Discovery

2021 ◽  
Vol 11 (3) ◽  
pp. 33-57
Author(s):  
Abdullah Marish Ali ◽  
Siti Mariyam Shamsuddin ◽  
Fathy E. Eassa ◽  
Faisal Saeed ◽  
Madini O. Alassafi ◽  
...  
Keyword(s):  
Topic Modeling ◽  
Service Discovery ◽  
Cloud Service ◽  
Cloud Services ◽  
Machine Learning Techniques ◽  
Support Vector ◽  
Multiple Phase ◽  
Phase Classification ◽  
Lower Accuracy ◽  
Cloud Service Discovery

The variety of cloud services (CSs) that are described, their non-uniform naming conventions, and their heterogeneous types and features make cloud service discovery a difficult problem. Therefore, an intelligent cloud service discovery framework (CSDF) is needed for discovering the appropriate services that meet the user's requirements. This study proposes a CSDF for extracting cloud service attributes (CSAs) based on classification, ontology, and agents. Multiple-phase classification with topic modeling has been implemented using different machine learning techniques to increase the efficiency of CSA extraction. CSAs that are represented in different formats have been extracted and represented in a comprehensive ontology to enhance the efficiency and effectiveness of the framework. The experimental results showed that the multiple-phase classification methods with topic modeling for CSs using a support vector machine (SVM) obtained a high accuracy (87.90%) compared to other methods. In addition, the results of extracting CSAs showed high values for precision, recall, and f-measure of 99.24%, 99.24%, and 99.24%, respectively, for Java script object notation(JSON) format, followed by 99.05%, 97.20%, and 98.11% for table formats, and with lower accuracy for text format (90.63%, 86.57%, and 88.55%).

scholarly journals Cloud Computing Services: Taxonomy of Discovery Approaches and Extraction Solutions

Symmetry ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 1354
Author(s):  
Fathey Mohammed ◽  
Abdullah Marish Ali ◽  
Abdullah Saad Al-Malaise Al-Ghamdi ◽  
Fawaz Alsolami ◽  
Siti Mariyam Shamsuddin ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Service Discovery ◽  
Service Providers ◽  
Cloud Service ◽  
Cloud Services ◽  
Diverse Range ◽  
Computing Services ◽  
Heterogeneous Features ◽  
Cloud Computing Services ◽  
Cloud Service Discovery

Cloud computing offers new features of sharing resources and applications to meet users’ computing requirements. It is a model by which the users can access computing resources as services offered on the Internet (cloud services). Cloud service providers offer a highly diverse range of asymmetric cloud services with heterogeneous features, which makes it difficult for the users to find the best service that fits his needs. Many research studies have been done on cloud service discovery, and several models and solutions that applied different techniques have been proposed. This paper aims at presenting the state of the art in the area of cloud services discovery by exploring the current approaches, techniques, and models. Furthermore, it proposes a taxonomy of cloud service discovery approaches. An integrative review approach was used to explore the related literature. Then, by analyzing the existing cloud service discovery solutions, a taxonomy of discovery approaches was suggested based on several perspectives including the discovery environment and the discovery process methods. The proposed taxonomy allows easily classifying and comparing cloud services discovery solutions. Moreover, it may reveal issues and gaps for further research and expose new insights for more innovative and effective cloud services discovery solutions.

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