scholarly journals Flexible selection of heterogeneous and unreliable services in large-scale grids

2009 ◽  
Vol 367 (1897) ◽  
pp. 2483-2494 ◽  
Author(s):  
Sebastian Stein ◽  
Terry R. Payne ◽  
Nicholas R. Jennings
Keyword(s):  
Real World ◽  
Large Scale ◽  
Service Providers ◽  
Service Selection ◽  
Third Party ◽  
Distributed Services ◽  
On Demand ◽  
Bioinformatics Workflow ◽  
Selection Of

As grids become larger and more interconnected in nature, scientists can benefit from a growing number of distributed services that may be invoked on demand to complete complex computational workflows. However, it also means that these scientists become dependent on the cooperation of third-party service providers, whose behaviour may be uncertain, failure prone and highly heterogeneous. To address this, we have developed a novel decision-theoretic algorithm that automatically selects appropriate services for the tasks of an abstract workflow and deals with failures through redundancy and dynamic re-invocation of functionally equivalent services. In this paper, we summarize our approach, describe in detail how it can be applied to a real-world bioinformatics workflow and show that it offers a significant improvement over current service selection techniques.

scholarly journals Evaluation and Selection of Nigerian Third-Party Logistics Service Providers Using Multi-Criteria Decision Models

2021 ◽  
Vol 12 (1) ◽  
pp. 135-146
Author(s):  
E.A. Ejem ◽  
C.M. Uka ◽  
D.N. Dike ◽  
C.C. Ikeogu ◽  
C.C. Igboanusi ◽  
...  
Keyword(s):  
Service Providers ◽  
Service Level ◽  
Decision Makers ◽  
Third Party ◽  
Decision Models ◽  
Third Party Logistics ◽  
Logistics Service ◽  
Logistics Service Providers ◽  
Selection Of

Abstract This paper is focused on solving the evaluation and selection of 3PL’s by applying multi-criteria decision-making methods. Nigerian Breweries, Nigerian Bottling Company (NBC), AG Leventis, Kobo logistics, and Flour Mills of Nigeria (FMN) were understudied. The main criteria on which evaluation is based were established: Cost, Service level, Financial Capability, Reputation and Long-term relationship. A combination of two quantitative models was adopted in the study. Relevant data were collected through an oral interview with managers and key decision-makers at the companies. SWARA was first applied to the collated data to determine the relative weights of the criteria. Afterwards, the TOPSIS was applied to the weights developed using SWARA and on the performance of the selected service providers. After the analysis, the best service provider was identified as supplier 2 while the worst was supplier 5.

Client-Centric Cloud Service Composition

2017 ◽  
pp. 144-166
Author(s):  
Vivek Gaur ◽  
Praveen Dhyani ◽  
Om Prakash Rishi
Keyword(s):  
Service Composition ◽  
Large Scale ◽  
Business Processes ◽  
Service Providers ◽  
Service Selection ◽  
Cloud Service ◽  
Quality Parameters ◽  
End User ◽  
Cloud Service Composition ◽  
Tabu Search Methods

Recent computing world has seen rapid growth of the number of middle and large scale enterprises that deploy business processes sharing variety of services available over cloud environment. Due to the advantage of reduced cost and increased availability, the cloud technology has been gaining unbound popularity. However, because of existence of multiple cloud service providers on one hand and varying user requirements on the other hand, the task of appropriate service composition becomes challenging. The conception of this chapter is to consider the fact that different quality parameters related to various services might bear varied importance for different user. This chapter introduces a framework for QoS-based Cloud service selection to satisfy the end user needs. A hybrid algorithm based on genetic algorithm (GA) and Tabu Search methods has been developed, and its efficacy is analysed. Finally, this chapter includes the experimental analysis to present the performance of the algorithm.

A Decision Support System for Selecting Secure Web Services

2010 ◽  
pp. 556-564
Author(s):  
Khaled M. Khan
Keyword(s):  
Web Services ◽  
Web Service ◽  
Service Providers ◽  
Selection Process ◽  
Enterprise Systems ◽  
Third Party ◽  
Security Requirements ◽  
Enterprise Application ◽  
Systems Security ◽  
Selection Of

Web service is becoming an important area of business processing and research for enterprise systems. Various Web service providers currently offer diverse computing services ranging from entertainment, finance, and health care to real-time application. With the widespread proliferation of Web Services, not only delivering secure services has become a critical challenge for the service providers, but users face constant challenges in selecting the appropriate Web services for their enterprise application systems. Security has become an important issue for information systems (IS) managers for a secure integration of Web services with their enterprise systems. Security is one of the determining factors in selecting appropriate Web services. The need for run-time composition of enterprise systems with third-party Web services requires a careful selection process of Web services with security assurances consistent with the enterprise business goal. Selection of appropriate Web services with required security assurances is essentially a problem of choice among several alternative services available in the market. The IS managers have little control of the actual security behavior of the third-party Web services, however, they can control the selection of right services which could likely comply their security requirements. Selecting third-party Web services arbitrarily over the Internet is critical as well as risky.

A Decision Support System for Selecting Secure Web Services

2011 ◽  
pp. 211-217 ◽  
Author(s):  
Khaled M. Khan
Keyword(s):  
Web Services ◽  
Web Service ◽  
Service Providers ◽  
Selection Process ◽  
Enterprise Systems ◽  
Third Party ◽  
Security Requirements ◽  
Enterprise Application ◽  
Systems Security ◽  
Selection Of

Web service is becoming an important area of business processing and research for enterprise systems. Various Web service providers currently offer diverse computing services ranging from entertainment, finance, and health care to real-time application. With the widespread proliferation of Web Services, not only delivering secure services has become a critical challenge for the service providers, but users face constant challenges in selecting the appropriate Web services for their enterprise application systems. Security has become an important issue for information systems (IS) managers for a secure integration of Web services with their enterprise systems. Security is one of the determining factors in selecting appropriate Web services. The need for run-time composition of enterprise systems with third-party Web services requires a careful selection process of Web services with security assurances consistent with the enterprise business goal. Selection of appropriate Web services with required security assurances is essentially a problem of choice among several alternative services available in the market. The IS managers have little control of the actual security behavior of the third-party Web services, however, they can control the selection of right services which could likely comply their security requirements. Selecting third-party Web services arbitrarily over the Internet is critical as well as risky.

Privacy-Aware Web Service Composition and Ranking

2013 ◽  
Vol 10 (3) ◽  
pp. 1-23 ◽  
Author(s):  
Elisa Costante ◽  
Federica Paci ◽  
Nicola Zannone
Keyword(s):  
Web Service ◽  
Service Composition ◽  
Service Providers ◽  
Service Selection ◽  
Future Internet ◽  
Web Service Composition ◽  
Privacy Preferences ◽  
Privacy Breaches ◽  
Selection Of ◽  
Privacy Level

Service selection is a key issue in the Future Internet, where applications are built by composing services and content offered by different service providers. Most existing service selection schemas only focus on QoS properties of services such as throughput, latency and response time, or on their trust and reputation level. By contrast, the risk of privacy breaches arising from the selection of component services whose privacy policy is not compliant with customers’ privacy preferences is largely ignored. In this paper, the authors propose a novel privacy-preserving Web service composition and selection approach which (i) makes it possible to verify the compliance between users’ privacy requirements and providers’ privacy policies and (ii) ranks the composite Web services with respect to the privacy level they offer. The authors illustrate their approach using an eCommerce Web service as an example of service composition. Moreover, the authors present a possible Java-based implementation of the proposed approach and present an extension to WS-Policy standard to specify privacy related assertions.

scholarly journals IDENTIFICATION OF CRITERIA FOR THIRD PARTY LOGISTICS SUPPLIERS (3PL) IN SUPPLY CHAIN MANAGEMENT (SCM) IN INDIAN MANUFACTURING INDUSTRIES

2021 ◽  
Vol 13 (2) ◽  
Author(s):  
Swapnil Sawant ◽  
Avinash Sarode
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Manufacturing Industry ◽  
Service Providers ◽  
Selection Process ◽  
Manufacturing Industries ◽  
Third Party ◽  
Third Party Logistics ◽  
Chain Management ◽  
Selection Of

The Indian manufacturing industry is growing rapidly, and supply chain management (SCM) plays the most important role in the industry. In SCM, customer satisfaction in terms of quantity, quality and on time delivery is the most important critical factor. To satisfy this requirement, the best third-party logistics (3PL) service provider is required.  Therefore, the selection of the best third-party logistics provider is one of the basic requirements in SCM. Logistics services are the backbone of an economy, providing the efficient, cost effective flow of goods and services on which other commercial sectors depend. The logistics companies work as the outsourced or third-party service providers and support the organization's logistics functions. In this study, we identified some important criteria for 3PL implementation in SCM in Indian manufacturing industries.  With the help of this study, supply chain managers from small to medium sized manufacturing industries can simplify the selection process for 3PL vendors. This study will help in the selection of the best vendor from such a competitive group and provide justification for the selection. 

scholarly journals An Enhanced Data Storage Technique on Cloud Computing

2021 ◽  
Vol 1 (3) ◽  
pp. 1-4
Author(s):  
Kamlesh Sharma* ◽  
Nidhi Garg
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Party System ◽  
Large Scale ◽  
Service Providers ◽  
Storage System ◽  
Third Party ◽  
Storage Servers ◽  
Security Concern ◽  
Storage Technique

Exercising a collection of similar numerous easy to get sources and resources over the internet is termed as Cloud Computing A Cloud storage system is basically a storage system over a large scale that consist of many independent storage servers. During recent years a huge changes and adoption is seen in cloud computing so security has become one of the major concerns in it. As Cloud computing works on third party system so security concern is there not only for customers but also for service providers. In this paper we have discussed about Cryptography i.e., encrypting messages into certain forms, it’s algorithms including symmetric and asymmetric algorithm and hashing, its architecture, and advantages of cryptography.

scholarly journals Dynamic mutual manufacturing and transportation routing service selection for cloud manufacturing with multi-period service-demand matching

2021 ◽  
Vol 7 ◽  
pp. e461
Author(s):  
Seyed Ali Sadeghi Aghili ◽  
Omid Fatahi Valilai ◽  
Alireza Haji ◽  
Mohammad Khalilzadeh
Keyword(s):  
Service Composition ◽  
Large Scale ◽  
Business Models ◽  
Service Providers ◽  
Service Selection ◽  
Cloud Service ◽  
Cloud Manufacturing ◽  
Architecture Model ◽  
Logistics Service ◽  
Composition Problem

Recently, manufacturing firms and logistics service providers have been encouraged to deploy the most recent features of Information Technology (IT) to prevail in the competitive circumstances of manufacturing industries. Industry 4.0 and Cloud manufacturing (CMfg), accompanied by a service-oriented architecture model, have been regarded as renowned approaches to enable and facilitate the transition of conventional manufacturing business models into more efficient and productive ones. Furthermore, there is an aptness among the manufacturing and logistics businesses as service providers to synergize and cut down the investment and operational costs via sharing logistics fleet and production facilities in the form of outsourcing and consequently increase their profitability. Therefore, due to the Everything as a Service (XaaS) paradigm, efficient service composition is known to be a remarkable issue in the cloud manufacturing paradigm. This issue is challenging due to the service composition problem’s large size and complicated computational characteristics. This paper has focused on the considerable number of continually received service requests, which must be prioritized and handled in the minimum possible time while fulfilling the Quality of Service (QoS) parameters. Considering the NP-hard nature and dynamicity of the allocation problem in the Cloud composition problem, heuristic and metaheuristic solving approaches are strongly preferred to obtain optimal or nearly optimal solutions. This study has presented an innovative, time-efficient approach for mutual manufacturing and logistical service composition with the QoS considerations. The method presented in this paper is highly competent in solving large-scale service composition problems time-efficiently while satisfying the optimality gap. A sample dataset has been synthesized to evaluate the outcomes of the developed model compared to earlier research studies. The results show the proposed algorithm can be applied to fulfill the dynamic behavior of manufacturing and logistics service composition due to its efficiency in solving time. The paper has embedded the relation of task and logistic services for cloud service composition in solving algorithm and enhanced the efficiency of resulted matched services. Moreover, considering the possibility of arrival of new services and demands into cloud, the proposed algorithm adapts the service composition algorithm.

Privacy-Aware Web Service Composition and Ranking

2015 ◽  
pp. 1653-1675
Author(s):  
Elisa Costante ◽  
Federica Paci ◽  
Nicola Zannone
Keyword(s):  
Web Service ◽  
Service Composition ◽  
Service Providers ◽  
Service Selection ◽  
Future Internet ◽  
Web Service Composition ◽  
Privacy Requirements ◽  
Privacy Preferences ◽  
Privacy Breaches ◽  
Selection Of

Service selection is a key issue in the Future Internet, where applications are built by composing services and content offered by different service providers. Most existing service selection schemas only focus on QoS properties of services such as throughput, latency and response time, or on their trust and reputation level. By contrast, the risk of privacy breaches arising from the selection of component services whose privacy policy is not compliant with customers' privacy preferences is largely ignored. In this paper, the authors propose a novel privacy-preserving Web service composition and selection approach which (i) makes it possible to verify the compliance between users' privacy requirements and providers' privacy policies and (ii) ranks the composite Web services with respect to the privacy level they offer. The authors illustrate their approach using an eCommerce Web service as an example of service composition. Moreover, the authors present a possible Java-based implementation of the proposed approach and present an extension to WS-Policy standard to specify privacy related assertions.

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