HBSD

Enterprise cloud bus (ECBS) is a multi-agent-based abstraction layer framework, responsible for publishing and discovery of services in an Inter-cloud environment. Our work focuses on the service discovery model (HBSD) using Hadoop that leads to the challenges of automatic web service discovery patterns. It has been observed that the RDBMS can handle only data sizes up to a few Terabytes but fails to scale beyond that, so Apache Hadoop can be used for parallel processing of massive datasets. This article provides a novel Hadoop based Service Discovery (HBSD) approach that can handle vast amount of datasets generated from heterogeneous cloud services. The novelty of the proposed architecture coordinates cloud participants, automate service registration pattern, reconfigure discover services and focus on aggregating heterogeneous services from Inter-cloud environments. Moreover, this particle states a novel and efficient algorithm (HBSDMCA) for finding the appropriate service as per user's requirements that can provide higher QoS to the user request for web services.

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Towards AiP as a Service

International Journal of Information Systems in the Service Sector ◽

10.4018/ijisss.2015040101 ◽

2015 ◽

Vol 7 (2) ◽

pp. 1-17 ◽

Cited By ~ 5

Author(s):

Djamel Benmerzoug

Keyword(s):

Cloud Computing ◽

Business Processes ◽

Rapid Development ◽

Cloud Services ◽

Agent Based ◽

Software Artifacts ◽

Cloud Application ◽

Business Application ◽

Agent Interaction ◽

Heterogeneous Cloud

The challenges that Cloud computing poses to business processes integration, emphasize the need for addressing two major issues: (i) which integration approach should be used allowing an adequate description of interaction aspects of the composed software components ? (ii) how are these interaction descriptions stored and shared to allow other software artifacts to (re)use them ? To address these issues, in this paper the authors propose an Agent Interaction Protocols (AiP)-based approach for reusing and aggregating existing Cloud services to create a new desired business application. The proposed approach facilitates rapid development and provisioning of composite Cloud services by specifying what to compose as an AiP. Furthermore, the authors develop an agent-based architecture that supports flexible scaling of business processes in a virtualized Cloud computing environment. The main goal of the proposed architecture is to address and tackle interoperability challenges at the Cloud application level. It solves the interoperability issues between heterogeneous Cloud services environments by offering a harmonized API. Also, it enables the deployment of applications at public, private or hybrid multi-Cloud environments.

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A multi-agent-based framework for cloud service discovery and selection using ontology

Service Oriented Computing and Applications ◽

10.1007/s11761-017-0224-y ◽

2017 ◽

Vol 12 (2) ◽

pp. 137-154 ◽

Cited By ~ 5

Author(s):

Manoranjan Parhi ◽

Binod Kumar Pattanayak ◽

Manas Ranjan Patra

Keyword(s):

Service Discovery ◽

Cloud Service ◽

Agent Based ◽

Multi Agent ◽

Service Discovery And Selection ◽

Cloud Service Discovery

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A Goal Driven Framework for Service Discovery in Service-Oriented Architecture: A Multiagent Based Approach

International Journal of Computer and Communication Technology ◽

10.47893/ijcct.2010.1059 ◽

2010 ◽

pp. 287-292

Author(s):

Ujjal Marjit ◽

Arup Sarkar ◽

Subhrangsu Santra ◽

Utpal Biswas

Keyword(s):

Semantic Web ◽

Web Service ◽

Resource Sharing ◽

Service Discovery ◽

Service Oriented Architecture ◽

Semantic Web Service ◽

Agent Based ◽

Service Oriented ◽

Multi Agent ◽

Client Program

Automated service discovery is one of the very important features in any Semantic Web Service (SWS) based framework. Achieving this functionality in e-resource sharing system is not an easy task due to its hugeness and heterogeneity among the available resources. Any efficient automated service discovery will remain worthless until discovered services fulfill the required goal(s) demanded by the user or the client program. In this paper we have proposed a goal driven approach towards an automated service discovery using Agent Swarm in an innovative way .A novel multi agent based architecture has been introduced here for service discovery. Communications among the agent in service-oriented framework for the said purpose has also been illustrated here. Finally, the pictorial view of the running agent in the system is shown.

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

PeerJ Computer Science ◽

10.7717/peerj-cs.539 ◽

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.

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

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i1.9.9816 ◽

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.

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A Multi-agent Based Grid Service Discovery Framework Using Fuzzy Petri Net and Ontology

Frontiers of WWW Research and Development - APWeb 2006 - Lecture Notes in Computer Science ◽

10.1007/11610113_94 ◽

2006 ◽

pp. 911-916 ◽

Cited By ~ 1

Author(s):

Zhengli Zhai ◽

Yang Yang ◽

Zhimin Tian

Keyword(s):

Petri Net ◽

Service Discovery ◽

Grid Service ◽

Agent Based ◽

Fuzzy Petri Net ◽

Multi Agent

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An Adaptive Multi Agent Service Discovery for Peer to Peer Cloud Services

Emerging Trends and Advanced Technologies for Computational Intelligence - Studies in Computational Intelligence ◽

10.1007/978-3-319-33353-3_8 ◽

2016 ◽

pp. 147-163

Author(s):

Moses Olaifa ◽

Sunday Ojo ◽

Tranos Zuva

Keyword(s):

Service Discovery ◽

Peer To Peer ◽

Cloud Services ◽

Multi Agent

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A Multi-agent based framework for Dynamic Service Discovery and access using matchmaking approach

2009 International Conference on Intelligent Agent & Multi-Agent Systems ◽

10.1109/iama.2009.5228068 ◽

2009 ◽

Author(s):

T. Amudha ◽

N. Saritha ◽

P. Usha

Keyword(s):

Service Discovery ◽

Agent Based ◽

Multi Agent

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rSLA: An Approach for Managing Service Level Agreements in Cloud Environments

International Journal of Cooperative Information Systems ◽

10.1142/s0218843017420035 ◽

2017 ◽

Vol 26 (02) ◽

pp. 1742003 ◽

Cited By ~ 3

Author(s):

Mohamed Mohamed ◽

Obinna Anya ◽

Samir Tata ◽

Nagapramod Mandagere ◽

Nathalie Baracaldo ◽

...

Keyword(s):

Service Level ◽

Cloud Services ◽

Service Level Agreements ◽

It Services ◽

Levels Of Abstraction ◽

Cloud Providers ◽

Cloud Environments ◽

Set Up ◽

Main Components ◽

Heterogeneous Cloud

Cloud providers offer services at different levels of abstraction from infrastructure to applications. The quality of Cloud services is a key determinant of the overall service level a provider offers to its customers. Service Level Agreements (SLAs) are (1) crucial for Cloud customers to ensure that promised levels of services are met, (2) an important sales instrument and (3) a differentiating factor for providers. Cloud providers and services are often selected more dynamically than in traditional IT services, and as a result, SLAs need to be set up and their monitoring implemented to match the same speed. In this context, managing SLAs is complex: different Cloud providers expose different management interfaces and SLA metrics differ from one provider to another. In this paper, we will analyze how IT service quality has been defined and managed over time, discuss how to manage SLAs in today’s multi-layer, multi-sourced Cloud environments, and what to expect going forward. A particular focus will be made on the rSLA framework that enables fast setup of SLA monitoring in dynamic and heterogeneous Cloud environments. The rSLA framework is made up of three main components: the rSLA language to formally represent SLAs, the rSLA Service, which interprets the SLAs and implements the behavior specified in them, and a set of Xlets-lightweight, dynamically bound adapters to monitoring and controlling interfaces. rSLA has been tested in the context of a real pilot and found to reduce the client on-boarding process from months to weeks.

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