A Novel User-Preference-Driven Service Selection Strategy in Cloud
|
|
- Lesley Goodwin
- 8 years ago
- Views:
Transcription
1 A Novel User-Preference-Driven Service Selection Strategy in Cloud Computing *1 Yanbing Liu, 2 Mengyuan Li, 3 Qiong Wang *1,Corresponding Author,2 College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China, liuyb@cqupt.edu.cn, ruoyin0207@gmail.com, 3 Chongqing CYIT Communication Technologies Co., Ltd, Chongqing, China, wangqiong@cqupt.edu.cn Abstract Service selection is becoming one of the current research focuses due to the commercial characteristics of cloud computing. This paper addresses the service selection problem according to the user s demand in Cloud computing, and proposes a novel service selection strategy in the virtualization-based cloud computing environment. In the proposed strategy, service sets are first clustered by the attribute of service, and then the analysis between service sets and user s QoS requirements on data services is conducted so that a preferable service can be provided. Both theoretical analysis and experimental results show that the strategy presented in this paper can provide much desirable service to users in Cloud computing. Keywords: Cloud Computing, Service Selection, QoS Preferences, Analytic Hierarchy Process 1. Introduction Cloud computing based on Internet technology is a hot research topic in recent years. It is derived from distributed computing and grid computing, furthermore combines other key technologies such as virtualization, massive data processing. Its basic principle is collecting ultra-scale computing storage resources via the Internet to form a virtual pool of computing resources, and meet users demand by way of providing services [1]. It can significantly improve the utilization of computing resources, reduce the energy consumption of services, and effectively shield against errors of computing resources. Cloud computing employs a mode of on-demand delivery and provision for the application [2], it integrates with a large number of virtual resources by means of virtualization technologies, and provides terminal users with better service support and user experience. Web Services as the distributed module in cloud environment are widely used in Service-Oriented Architecture (SOA) and other applications. In the cloud model, resources are shared and reserved according to users requirements. When users requirements are approved, the cloud platform must ensure strict implementations of Service Level Agreement (SLA) [3] to satisfy users demand. However, the actual demand for resources is often dynamic. With the continuous expansion of applications, there has been a class of more rigorous constraints [4, 5] on QoS requirements. Therefore, viewing on the different needs of users for various virtual services, it is increasingly important to employ an efficient service selection method to find the preferable service. Cloud computing effectively collects a variety of interconnected computing resources, at the same time, processes these resources by means of multi-level virtualization and abstraction. Due to special business benefits of clouding computing, it has been focusing on the quality of service provided to users. However, the pros and cons of the service selection model affect users satisfaction directly, so there are many literatures discussing around this point. In [6], a decision is made through the stability of services provided by each Internet Service Provider (ISP) in cloud model. In traditional distributed computing and network computing, numerous service selection strategies have been proposed. Pan J and coauthors in [7] introduced an information weight factor representing a trust relationship established between service provider and presenter, and then returned a performance evaluation value of services after mathematical operations on the information weight factor. Y.C. Lee et al. [8] contributed on the profit driven service request scheduling for workflow. Li Y et al. proposed a service International Journal of Advancements in Computing Technology(IJACT) Volume4, Number21,November 2012 doi: /ijact.vol4.issue
2 selection method based on data credibility in [9], where QoS attributes are classified and computed according to data credibility. The new QoS attributes can more accurately reflect the real situation of the entity, thus a better quality of service composition is achieved. Fully considering different users' demand for various services and following the services running processes based on SOA, we propose a service selection mechanism which supports a user-oriented and visual operation to meet individual preference. The major features of our proposed mechanism are: a) The service selection mechanism has friendly man-machine interface. b) A fuzzy clustering on services adopted by this paper can effectively reduce the complexity of the algorithm, at the same time highlight the advantages of services. c) The similarity between service attributes and user preferences is introduced to determine the more appropriate services for user demand. Experimental results show that this model and presented algorithms are generic, effective, and are applicable to practical cloud computing as well. The rest of this paper is organized as follows. Section 2 introduces the related concepts; Section 3 describes service selection mechanism and functions of each module; Section 4 gives the specific analysis about service selection algorithm supporting user preferences; Section 5 presents the experiments and results analysis and Section 6 concludes the paper. 2. Preliminaries In cloud system, the service compositions after an abstract process are denoted as S, S { S1, S2,, S n }, where n represents the number of optional service compositions. The performance of each service can be measured by Sop, Sop { Sti, Sst,, Sse}, Sti, Sst,, Sse represent the timeliness performance, stability performance, security performance of a service respectively. Timeliness, stability, security is respectively measured by network bandwidth, the bit error rate, data integrity. Data integrity involves ensuring data from attack, AES encryption and so on. This paper will normalize S op in order to eliminate the incommensurability among attributes, facilitate the comparison and comprehensive calculation of properties, and take impact of each attribute on service into account. Definition 1: service comprehensive performance can be calculated as: ( Sti ) ( Sst ) ( Sse ) Sop Where,, respectively represent the weight factors for timeliness, stability, security. Definition 2: Information Matrix R( m, n) which stores the quantified value can be expressed as: R R R 1,1 1,2 1, n R R R 2,1 2,2 2, n Rmn (, ) (2) R R R m,1 m,2 m, n R( m, n ) is matrix which stores the quantified value of users demand. Where m is the number of users, and n is the number of parameters for services. R i, j represents the demand of user i for parameter j of services. In this matrix, some elements will be zero, which means user has no special demand for some parameters. Similarly, R s, i represents matrix which stores the attribute parameters of each service. Definition 3: Services-Demand Similarity (SIM), describing a matching degree between services and user s demand can be expressed as: n d s i 1 Rdi, Rsi, SIM ( ds, ) cos( ds, ) (3) d s n 2 n 2 i 1Rdi, i 1Rsi, d ( d, d,, d n ) s ( s, s,, s n ) Where D, individual demand, can be denoted as a vector 1 2 in n-dimensional space, and S, service performances, can be denoted as a vector 1 2 in n-dimensional space. (1) 415
3 It s an optimization process to select the proper service among the service compositions based on user preference. To get the optimal solution, two conditions should be satisfied: a) Value of QoS property for services should be fully considered, that is to say, Q( s) is equivalent to the maximum of comprehensive performance value S op. b) User demand for services is often strongly subjective, so we should take a more personalized QoS requirements into consideration. Selecting the proper service composition needs to enumerate all possible candidates. What s more, there are many types of services in cloud environment, so it will take much time, and it is also difficult to ensure a demand assignment. 3. Framework of user-preference-based service selection In addition to problems mentioned above, it is also difficult for users to fully understand a wide range of services in the cloud environment, so a service selection mechanism is proposed. It makes decisions not only based on user preferences, but also considering application characteristics of various service resources in this article. The framework of this mechanism is showed in Figure 1. Figure 1. Framework of user-preference-based service selection Functions of each module are listed as follows: a) Man-machine Interface The user can submit the relevant demand parameters through the interactive interface, such as the bandwidth of the service system, the connection delay, bit error rate. The module takes charge of the user s demand and transfers to User Preference Analysis Module. It also receives service information from the cloud and displays them. b) User Preference Analysis Module This module receives user preference data transferred from Man-machine Interface, and then conducts qualitative and quantitative analysis on them. In other words, we can grasp user s demand rapidly and exactly by Analytic Hierarchy Process introduced here. c) Service Resource Cluster Module 416
4 This function module clusters on the standardized services, so that advantages of services can be fully exploited and actual search space can be reduced. Services could be classified into three categories according to timeliness, stability and security. d) Service Provider Module This module is an integrated architecture which performs distributed management, analysis and usage for massive data in distributed heterogeneous environment. It aims at achieving a safe, reliable and efficient operation for data migration and access. In addition, different services can be provided here. The implementation methods of User Preference Analysis Module and Service Resource Cluster Module are described in Section An user-preference-based service selection mechanism Currently, most service selection methods are proposed based on getting an optimum of QoS property values to offer a better selection scheme to users. However, neither is it the best criterion, nor does it always match user preferences. To attack these problems, a new proposal is addressed. In this article, we build a three-dimensional QoS model, which takes the Web services QoS mode in literature [10], integrates the characteristics of network virtualization in clouding environment, and takes the user preference with a strong subjective into consideration. After that, a method called Analytic Hierarchy Process [11] is adopted to conduct a qualitative and quantitative analysis. Specific three-hierarchical structure is shown as Figure 2. Figure 2. Three-hierarchical structure a) On the basis of in-depth analysis on practical problems, especially in view of users with different demands for different services, a three-hierarchical structure model for service selection is built with a top-down mechanism according to different properties. As shown in Figure 2, the top layer is decision layer which focuses on selecting an optimal service for user. Middle layer is the criterion layer, which has three parts, respectively called timeliness, stability and security. Bottom layer offers specific optional solutions. b) From the three-hierarchical structure, judgment matrix is constructed through the weight of each principle. Importance is described by relative weights a ij ; it is got by comparison of element between i-th and j-th. c) Single hierarchy ranking and its uniformity inspection. Normalize the column vector: n w ij aij / i 1 aij (, i j [1, n]) (4) Calculate the sum of each row: n w i j 1 w ij(, i j [1, n]) (5) Normalize: n T w w / w, w,, w (6) i i i 1 i ( w1, w2 n) 417
5 d) Hierarchy general ranking and uniformity inspection. If the hierarchical structure [11] has k levels (decision layer at the top), each vector of weights can be aggregated into a performance matrix ( k ) for each level of the hierarchy W, where k is the number of levels in the structure. The Service Selection based on User Preferences algorithm (SSUP) flow is as follows. Input: Available Service Set; Output: Optimum Service; Step 1: Build Information Matrix storing user requirements R di, ; Step 2: Normalize R di, with (4) (5) (6); Step 3: Get QoS weight with analytic hierarchy process; Step 4: Build Service Attribute Matrix R s, i ; Step 5: Normalize matrix R s, i ; Step 5: Construct Subordinate Matrix for S ( m, n) with the data standardized; Step 6: Set threshold, maximum count of iterations MaxTime and the count of service categories s; Step 7: Ensure clustering centre c 0 ; 0 Step 8: Compute the value of objective function Cv ; Step 9: Update clustering centre c i ; i Step 10: Update the value of objective function Cv ; Step 11: If i i 1 ( Cv Cv ) & & i MaxTime, output matrix, otherwise return to Step 7; Step 12: Determine the type of services requested by user; Step 13: Compute Service-Demand Similarity SIM ; Step 14: Fix the optimum service; Step 15: Finish. 5. Experimental results In order to analyze the efficiency and correlation property of SSUP proposed in this paper, the experiments are conducted using one type of datasets. This Web service QoS dataset is a real-world named WSDREAM [12]. The dataset contains 150 files, where each file includes 10,000 Web service invocations on 100 Web services by a service user. All the experiments are run on the same computer with Pentium 3.2GHz processor, 1.96GB of RAM, Windows XP SP3. Through selecting 20 users and analysis on status of Web services randomly, the distribution of services shows a similarity at a curtain time, in other words, service resources have a characteristic of clustering. Figure 3 shows a status of the various service resources when a user accessed Web service, where 1 in y axis indicates that the connection is in good condition, 2~4 are not normal. 4 Service Status of access Access time /ms Figure 3. Status of access services 418
6 In the face of a kind of users with individual QoS sensitivity constraints in cloud computing, the most concern is how to offer many desirable services. Nevertheless, dynamic cloud environment and numerous services also need consideration. In this section, we compare our approach with the Analytic Hierarchy Process (AHP) introduced in [13] by conducting two experiments. These experimental data is helpful to draw an objective evaluation. The first experiment compares the execution time when the user accesses services. We conduct the other experiment to compare SSUP approach with AHP on the user satisfaction. In this paper, user satisfaction is obtained by success ratio which is a proportion of picking out high-level available service from service set according user s demand. The results of comparison are shown as Figure 4 and Figure 5. The first experiment indicates that the execution time consumed by SSUP is shorter than AHP, and the second shows that the approach has higher user satisfaction than the other. 10 AHP SSUP 8 Execution time /s Available services Figure 4. Execution time comparison between SSUP and AHP AHP SSUP User satisfaction % Available services Figure 5. User satisfaction comparison between SSUP and AHP These figures show the comparison performance between SSUP and AHP on execution time and user satisfaction with dataset. From Figure 4, with different number of service candidates, the execution time is always lower than that of AHP. As shown in Figure 5, user satisfaction of SSUP is higher for this dataset. It s well known that for a service selection approach, the higher its user satisfaction, the better its performance. Since SSUP can effectively filter out the redundant candidates according to user s demand, it needs less time to select the appropriate services while ensuring highlevel satisfaction for users. What is different from AHP, SSUP exposes services characteristics by focusing on clusters of services. Moreover, SSUP analyzes user preferences and selects the preferable service by means of QoS capabilities similarity. Based on the analysis above, we can conclude that SSUP can select reliable service in Cloud computing efficiently. 419
7 6. Conclusion This paper presents a strategy for dynamic cloud computing environment which includes a model and SSUP. In this strategy, services could be classified into three categories according to timeliness, stability and security metrics. Meanwhile, with user preferences taken into account, service for user s demand could be further subdivided into timeliness preference, stability preference or security preference. It not only offers a priority to gain a kind of high-capacity services among compositions, but also reflects a better demand assignment principle. Experimental results and theoretical analysis show that this strategy can ensure a higher service performance and user satisfaction. 7. Acknowledgement This work was partially supported by program for NCET and the following grants: National Science and Technology Major Project of China (No.2011ZX ), National Science Foundation of China (No ), 973 Project (No.2010CB334710), R&D Foundation of Chongqing (No.Kjzh10206), Open Project of Key Lab of Information Network Security of Administration of Public Security (No.C11609) and The Science and Technology Research Project of Chongqing Municipal Education Commission (No. KJ110529). 8. References [1] Chel-Rim Choi, Young-Jae Song, "Relative Weight Decision of Qualiy Attributes in Cloud Computing Service Using ANP", IJACT: International Journal of Advancements in Computing Technology, vol. 4, no. 5, pp , [2] Guiyi Wei, Athanasios V, Vasilakos, Yao Zheng and Naixue Xiong, "A Game-Theoretic Method of Fair Resource Allocation for Cloud Computing Services", The Journal of Supercomputing, vol. 54, no. 2, pp , [3] Reihaneh Khorsand Motlagh Esfahani, Farhad Mardukhi, Naser Nematbakhsh, "Reputation Improved Web Services Discovery Based on QoS", JCIT: Journal of Convergence Information Technology, vol. 5, no. 9, pp , [4] Chengwei Yang, Shijun Liu, Lei Wu, Chengle Yang, Xiangxu Meng, "The Application of Cloud Computing in Textile-order Service", JDCTA: International Journal of Digital Content Technology and its Applications, vol. 5, no. 8, pp , [5] Graham Cormode, Balachander Krishnamurthy, "Key Differences between Web 1.0 and Web 2.0", Journal of First Monday, vol. 13, no. 6, [6] Shangguang Wang, Zibin Zheng, Qibo Sun, Hua Zou and Fangchun Yang, Cloud Model for Service Selection, In Proceeding(s) of IEEE INFOCOM 2011 Worksshop on Cloud Computing, pp , [7] Pan Jing, Xu Feng and Lv Jian, Reputation-Based Recommender Discovery Approach for Service Selection", Journal of Software, vol. 21, no. 2, pp , [8] Young Choon Lee, Chen Wang, Albert Y. Zomaya and Bing Bing Zhou, "Profit-Driven Service Request Scheduling in Clouds, In Proceeding(s) of the th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing, pp.15-24, [9] Li Yan, Zhou MingHui, Li RuiChao, Cao DongGang and Mei Hong, Service Selection Approach Considering the Trustworthiness of QoS Data, Journal of Software, vol. 19, no. 10, pp , [10] Yutu Liu, Anne H. Ngu and Liang Z. Zeng, QoS Computation and Policing in Dynamic Web Service Selection, In Proceeding(s) of the 13th International World Wide Web Conference on Alternate Track Papers & Posters, pp.66-73, [11] Jeonghwan Jin, Ling Rothrock, Patricia L. McDermott and Michael Barnes, Using the Analytic Hierarchy Process to Examine Judgment Consistency in a Complex Multiattribute Task, Journal of IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans, vol. 40, no. 5, pp ,
8 [12] Zibin Zheng, Michael R. Lyu, Collaborative Reliability Prediction for Service-Oriented Systems, In Proceeding(s) of the ACM/IEEE 32nd International Conference on Software Engineering (ICSE2010), pp.35-44, [13] Manish Godse, Shrikant Mulik, An Approach for Selecting Software-as-a-Service (SaaS) Product, In Proceeding(s) of the Cloud Computing, CLOUD '09.IEEE International Conference, pp ,
QoS EVALUATION OF CLOUD SERVICE ARCHITECTURE BASED ON ANP
QoS EVALUATION OF CLOUD SERVICE ARCHITECTURE BASED ON ANP Mingzhe Wang School of Automation Huazhong University of Science and Technology Wuhan 430074, P.R.China E-mail: mingzhew@gmail.com Yu Liu School
More informationOPTIMIZATION STRATEGY OF CLOUD COMPUTING SERVICE COMPOSITION RESEARCH BASED ON ANP
OPTIMIZATION STRATEGY OF CLOUD COMPUTING SERVICE COMPOSITION RESEARCH BASED ON ANP Xing Xu School of Automation Huazhong University of Science and Technology Wuhan 430074, P.R.China E-mail: xuxin19901201@126.com
More informationAchieve Better Ranking Accuracy Using CloudRank Framework for Cloud Services
Achieve Better Ranking Accuracy Using CloudRank Framework for Cloud Services Ms. M. Subha #1, Mr. K. Saravanan *2 # Student, * Assistant Professor Department of Computer Science and Engineering Regional
More informationA Proposed Framework for Ranking and Reservation of Cloud Services Based on Quality of Service
II,III A Proposed Framework for Ranking and Reservation of Cloud Services Based on Quality of Service I Samir.m.zaid, II Hazem.m.elbakry, III Islam.m.abdelhady I Dept. of Geology, Faculty of Sciences,
More informationEfficient Algorithm for Predicting QOS in Cloud Services Sangeeta R. Alagi, Srinu Dharavath
Efficient Algorithm for Predicting QOS in Cloud Services Sangeeta R. Alagi, Srinu Dharavath Abstract Now a days, Cloud computing is becoming more popular research topic. Building high-quality cloud applications
More informationProfit-driven Cloud Service Request Scheduling Under SLA Constraints
Journal of Information & Computational Science 9: 14 (2012) 4065 4073 Available at http://www.joics.com Profit-driven Cloud Service Request Scheduling Under SLA Constraints Zhipiao Liu, Qibo Sun, Shangguang
More informationResearch on Trust Management Strategies in Cloud Computing Environment
Journal of Computational Information Systems 8: 4 (2012) 1757 1763 Available at http://www.jofcis.com Research on Trust Management Strategies in Cloud Computing Environment Wenjuan LI 1,2,, Lingdi PING
More informationA QoS-Aware Web Service Selection Based on Clustering
International Journal of Scientific and Research Publications, Volume 4, Issue 2, February 2014 1 A QoS-Aware Web Service Selection Based on Clustering R.Karthiban PG scholar, Computer Science and Engineering,
More informationAn Optimization Model of Load Balancing in P2P SIP Architecture
An Optimization Model of Load Balancing in P2P SIP Architecture 1 Kai Shuang, 2 Liying Chen *1, First Author, Corresponding Author Beijing University of Posts and Telecommunications, shuangk@bupt.edu.cn
More informationEfficient Qos Based Resource Scheduling Using PAPRIKA Method for Cloud Computing
Efficient Qos Based Resource Scheduling Using PAPRIKA Method for Cloud Computing Hilda Lawrance* Post Graduate Scholar Department of Information Technology, Karunya University Coimbatore, Tamilnadu, India
More informationSupply Chain Platform as a Service: a Cloud Perspective on Business Collaboration
Supply Chain Platform as a Service: a Cloud Perspective on Business Collaboration Guopeng Zhao 1, 2 and Zhiqi Shen 1 1 Nanyang Technological University, Singapore 639798 2 HP Labs Singapore, Singapore
More informationCONCEPTUAL MODEL OF MULTI-AGENT BUSINESS COLLABORATION BASED ON CLOUD WORKFLOW
CONCEPTUAL MODEL OF MULTI-AGENT BUSINESS COLLABORATION BASED ON CLOUD WORKFLOW 1 XINQIN GAO, 2 MINGSHUN YANG, 3 YONG LIU, 4 XIAOLI HOU School of Mechanical and Precision Instrument Engineering, Xi'an University
More informationCapability Service Management System for Manufacturing Equipments in
Capability Service Management System for Manufacturing Equipments in Cloud Manufacturing 1 Junwei Yan, 2 Sijin Xin, 3 Quan Liu, 4 Wenjun Xu *1, Corresponding Author School of Information Engineering, Wuhan
More informationThe Power Marketing Information System Model Based on Cloud Computing
2011 International Conference on Computer Science and Information Technology (ICCSIT 2011) IPCSIT vol. 51 (2012) (2012) IACSIT Press, Singapore DOI: 10.7763/IPCSIT.2012.V51.96 The Power Marketing Information
More informationFigure 1. The cloud scales: Amazon EC2 growth [2].
- Chung-Cheng Li and Kuochen Wang Department of Computer Science National Chiao Tung University Hsinchu, Taiwan 300 shinji10343@hotmail.com, kwang@cs.nctu.edu.tw Abstract One of the most important issues
More informationA Network Simulation Experiment of WAN Based on OPNET
A Network Simulation Experiment of WAN Based on OPNET 1 Yao Lin, 2 Zhang Bo, 3 Liu Puyu 1, Modern Education Technology Center, Liaoning Medical University, Jinzhou, Liaoning, China,yaolin111@sina.com *2
More informationA Service Revenue-oriented Task Scheduling Model of Cloud Computing
Journal of Information & Computational Science 10:10 (2013) 3153 3161 July 1, 2013 Available at http://www.joics.com A Service Revenue-oriented Task Scheduling Model of Cloud Computing Jianguang Deng a,b,,
More informationOn Cloud Computing Technology in the Construction of Digital Campus
2012 International Conference on Innovation and Information Management (ICIIM 2012) IPCSIT vol. 36 (2012) (2012) IACSIT Press, Singapore On Cloud Computing Technology in the Construction of Digital Campus
More informationResource Allocation Avoiding SLA Violations in Cloud Framework for SaaS
Resource Allocation Avoiding SLA Violations in Cloud Framework for SaaS Shantanu Sasane Abhilash Bari Kaustubh Memane Aniket Pathak Prof. A. A.Deshmukh University of Pune University of Pune University
More informationA Load Balancing Algorithm based on the Variation Trend of Entropy in Homogeneous Cluster
, pp.11-20 http://dx.doi.org/10.14257/ ijgdc.2014.7.2.02 A Load Balancing Algorithm based on the Variation Trend of Entropy in Homogeneous Cluster Kehe Wu 1, Long Chen 2, Shichao Ye 2 and Yi Li 2 1 Beijing
More informationJournal of Chemical and Pharmaceutical Research, 2014, 6(3):34-39. Research Article. Analysis of results of CET 4 & CET 6 Based on AHP
Available online www.jocpr.com Journal of Chemical and Pharmaceutical Research, 2014, 6(3):34-39 Research Article ISSN : 0975-7384 CODEN(USA) : JCPRC5 Analysis of results of CET 4 & CET 6 Based on AHP
More informationCredit Risk Comprehensive Evaluation Method for Online Trading
Credit Risk Comprehensive Evaluation Method for Online Trading Company 1 *1, Corresponding Author School of Economics and Management, Beijing Forestry University, fankun@bjfu.edu.cn Abstract A new comprehensive
More informationRanking of Cloud Services Using Cumulative Sum Method
Journal of Computer Science and Applications. ISSN 2231-1270 Volume 6, Number 2 (2014), pp. 99-105 International Research Publication House http://www.irphouse.com Ranking of Cloud s Using Cumulative Sum
More informationTasks Scheduling Game Algorithm Based on Cost Optimization in Cloud Computing
Journal of Computational Information Systems 11: 16 (2015) 6037 6045 Available at http://www.jofcis.com Tasks Scheduling Game Algorithm Based on Cost Optimization in Cloud Computing Renfeng LIU 1, Lijun
More informationHeterogeneous Workload Consolidation for Efficient Management of Data Centers in Cloud Computing
Heterogeneous Workload Consolidation for Efficient Management of Data Centers in Cloud Computing Deep Mann ME (Software Engineering) Computer Science and Engineering Department Thapar University Patiala-147004
More informationMethod of Fault Detection in Cloud Computing Systems
, pp.205-212 http://dx.doi.org/10.14257/ijgdc.2014.7.3.21 Method of Fault Detection in Cloud Computing Systems Ying Jiang, Jie Huang, Jiaman Ding and Yingli Liu Yunnan Key Lab of Computer Technology Application,
More informationA Solution for Data Inconsistency in Data Integration *
JOURNAL OF INFORMATION SCIENCE AND ENGINEERING 27, 681-695 (2011) A Solution for Data Inconsistency in Data Integration * Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai,
More informationLoad Balancing Algorithm Based on Services
Journal of Information & Computational Science 10:11 (2013) 3305 3312 July 20, 2013 Available at http://www.joics.com Load Balancing Algorithm Based on Services Yufang Zhang a, Qinlei Wei a,, Ying Zhao
More informationCOMBINE DIFFERENT TRUST MANAGEMENT TECHNIQUE: RECOMMENDATIONAND REPUTATION IN CLOUD SERVICE. B.Brithi #1, K. Kiruthikadevi *2
COMBINE DIFFERENT TRUST : RECOMMENDATIONAND REPUTATION IN CLOUD SERVICE B.Brithi #1, K. Kiruthikadevi *2 1 P.G Scholar, Department of Computer Science and Engineering, Nandha College of Technology, Erode.
More informationResearch on Semantic Web Service Composition Based on Binary Tree
, pp.133-142 http://dx.doi.org/10.14257/ijgdc.2015.8.2.13 Research on Semantic Web Service Composition Based on Binary Tree Shengli Mao, Hui Zang and Bo Ni Computer School, Hubei Polytechnic University,
More informationQoS based Cloud Service Provider Selection Framework
Abstract Research Journal of Recent Sciences ISSN 2277-2502 QoS based Cloud Service Provider Selection Framework Kumar N. and Agarwal S. Department of Computer Science, Babasaheb Bhimrao Ambedkar University,
More informationA Multi-attribute Decision Making Approach for Resource Allocation in Software Projects
A Multi-attribute Decision Making Approach for Resource Allocation in Software Projects A. Ejnioui, C. E. Otero, and L. D. Otero 2 Information Technology, University of South Florida Lakeland, Lakeland,
More informationThe Application of ANP Models in the Web-Based Course Development Quality Evaluation of Landscape Design Course
, pp.291-298 http://dx.doi.org/10.14257/ijmue.2015.10.9.30 The Application of ANP Models in the Web-Based Course Development Quality Evaluation of Landscape Design Course Xiaoyu Chen 1 and Lifang Qiao
More informationResearch on the UHF RFID Channel Coding Technology based on Simulink
Vol. 6, No. 7, 015 Research on the UHF RFID Channel Coding Technology based on Simulink Changzhi Wang Shanghai 0160, China Zhicai Shi* Shanghai 0160, China Dai Jian Shanghai 0160, China Li Meng Shanghai
More informationJOB/scheduling system is one of the core and challenging. An Greedy-Based Job Scheduling Algorithm in Cloud Computing
JOURNAL OF SOFTWARE, VOL. 9, NO. 4, APRIL 2014 921 An Greedy-Based Job Scheduling Algorithm in Cloud Computing Ji Li a,b, Longhua Feng a,b, Shenglong Fang c a College of Computer Science, Chongqing University,
More informationResearch on Digital Agricultural Information Resources Sharing Plan Based on Cloud Computing *
Research on Digital Agricultural Information Resources Sharing Plan Based on Cloud Computing * Guifen Chen 1,**, Xu Wang 2, Hang Chen 1, Chunan Li 1, Guangwei Zeng 1, Yan Wang 1, and Peixun Liu 1 1 College
More informationMonitoring and Warning System for Information Technology (IT) Outsource Risk in Commercial Banks Based on Nested Theory of Excel Logical Function
Advance Journal of Food Science and Technology 9(4): 302-307, 2015 ISSN: 2042-4868; e-issn: 2042-4876 Maxwell Scientific Organization, 2015 Submitted: March 3, 2015 Accepted: March 14, 2015 Published:
More informationThe Probabilistic Model of Cloud Computing
A probabilistic multi-tenant model for virtual machine mapping in cloud systems Zhuoyao Wang, Majeed M. Hayat, Nasir Ghani, and Khaled B. Shaban Department of Electrical and Computer Engineering, University
More informationFault Analysis in Software with the Data Interaction of Classes
, pp.189-196 http://dx.doi.org/10.14257/ijsia.2015.9.9.17 Fault Analysis in Software with the Data Interaction of Classes Yan Xiaobo 1 and Wang Yichen 2 1 Science & Technology on Reliability & Environmental
More informationComparison between Vertical Handoff Decision Algorithms for Heterogeneous Wireless Networks
Comparison between Vertical Handoff Decision Algorithms for Heterogeneous Wireless Networks Enrique Stevens-Navarro and Vincent W.S. Wong Department of Electrical and Computer Engineering The University
More informationAnalysis of Model and Key Technology for P2P Network Route Security Evaluation with 2-tuple Linguistic Information
Journal of Computational Information Systems 9: 14 2013 5529 5534 Available at http://www.jofcis.com Analysis of Model and Key Technology for P2P Network Route Security Evaluation with 2-tuple Linguistic
More informationAn Efficiency Keyword Search Scheme to improve user experience for Encrypted Data in Cloud
, pp.246-252 http://dx.doi.org/10.14257/astl.2014.49.45 An Efficiency Keyword Search Scheme to improve user experience for Encrypted Data in Cloud Jiangang Shu ab Xingming Sun ab Lu Zhou ab Jin Wang ab
More informationSMICloud: A Framework for Comparing and Ranking Cloud Services
2011 Fourth IEEE International Conference on Utility and Cloud Computing SMICloud: A Framework for Comparing and Ranking Cloud Services Saurabh Kumar Garg, Steve Versteeg and Rajkumar Buyya Cloud Computing
More informationCSP Scheduling on basis of Priority of Specific Service using Cloud Broker
Research Article International Journal of Current Engineering and Technology E-ISSN 2277 4106, P-ISSN 2347-5161 2014 INPRESSCO, All Rights Reserved Available at http://inpressco.com/category/ijcet CSP
More informationSCHEDULING IN CLOUD COMPUTING
SCHEDULING IN CLOUD COMPUTING Lipsa Tripathy, Rasmi Ranjan Patra CSA,CPGS,OUAT,Bhubaneswar,Odisha Abstract Cloud computing is an emerging technology. It process huge amount of data so scheduling mechanism
More informationRANKING OF CLOUD SERVICE PROVIDERS IN CLOUD
RANKING OF CLOUD SERVICE PROVIDERS IN CLOUD C.S. RAJARAJESWARI, M. ARAMUDHAN Research Scholar, Bharathiyar University,Coimbatore, Tamil Nadu, India. Assoc. Professor, Department of IT, PKIET, Karaikal,
More informationA Hybrid Load Balancing Policy underlying Cloud Computing Environment
A Hybrid Load Balancing Policy underlying Cloud Computing Environment S.C. WANG, S.C. TSENG, S.S. WANG*, K.Q. YAN* Chaoyang University of Technology 168, Jifeng E. Rd., Wufeng District, Taichung 41349
More informationDesign of Electronic Medical Record System Based on Cloud Computing Technology
TELKOMNIKA Indonesian Journal of Electrical Engineering Vol.12, No.5, May 2014, pp. 4010 ~ 4017 DOI: http://dx.doi.org/10.11591/telkomnika.v12i5.4392 4010 Design of Electronic Medical Record System Based
More informationJoint Optimization of Physical and Information Flows in Supply Chains
Joint Optimization of Physical and Information Flows in Supply Chains Jānis Grabis Riga Technical University, Kalku 1, Riga, LV-1658, Latvia grabis@rtu.lv Abstract. Supply chain units are connected by
More informationGame Theory Based Iaas Services Composition in Cloud Computing
Game Theory Based Iaas Services Composition in Cloud Computing Environment 1 Yang Yang, *2 Zhenqiang Mi, 3 Jiajia Sun 1, First Author School of Computer and Communication Engineering, University of Science
More informationDesign of Customer-Oriented Cloud Products
Design of Customer-Oriented Cloud Products Gülfem Isiklar Alptekin, S. Emre Alptekin Abstract Cloud computing is defined as a scalable services consumption and delivery platform that allows enterprises
More informationKeywords Distributed Computing, On Demand Resources, Cloud Computing, Virtualization, Server Consolidation, Load Balancing
Volume 5, Issue 1, January 2015 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com Survey on Load
More informationThe Study on Logistics Management Patterns based on Fuzzy Comprehensive Evaluation Method
The Study on Logistics Management Patterns based on Fuzzy Comprehensive Evaluation Method School of Management Shanghai University, Shanghai Baoshan 200072 School of Foreign Yiwu Industrial & Commercial
More informationResearch and Practice of DataRBAC-based Big Data Privacy Protection
Send Orders for Reprints to reprints@benthamscience.ae The Open Cybernetics & Systemics Journal, 2015, 9, 669-673 669 Open Access Research and Practice of DataRBAC-based Big Data Privacy Protection Huang
More informationA Hierarchical Information System Risk Evaluation Method Based on Asset Dependence Chain
International Journal of Security and Its Applications, pp.81-88 http://dx.doi.org/10.1257/ijsia.201.8.6.08 A Hierarchical Information System Risk Evaluation Method Based on Asset Dependence Chain Xin
More informationA QoS-driven Resource Allocation Algorithm with Load balancing for
A QoS-driven Resource Allocation Algorithm with Load balancing for Device Management 1 Lanlan Rui, 2 Yi Zhou, 3 Shaoyong Guo State Key Laboratory of Networking and Switching Technology, Beijing University
More informationUsing Analytic Hierarchy Process (AHP) Method to Prioritise Human Resources in Substitution Problem
Using Analytic Hierarchy Process (AHP) Method to Raymond Ho-Leung TSOI Software Quality Institute Griffith University *Email:hltsoi@hotmail.com Abstract In general, software project development is often
More informationHow To Calculate Tunnel Longitudinal Structure
Calculation and Analysis of Tunnel Longitudinal Structure under Effect of Uneven Settlement of Weak Layer 1,2 Li Zhong, 2Chen Si-yang, 3Yan Pei-wu, 1Zhu Yan-peng School of Civil Engineering, Lanzhou University
More informationThe Economics of the Cloud: Price Competition and Congestion
The Economics of the Cloud: Price Competition Congestion JONATHA ANSELMI Basque Center for Applied Mathematics BCAM DANILO ARDAGNA Dip. di Elettronica e Informazione, Politecnico di Milano JOHN C.S. LUI
More informationDesign of M-Learning Platform based on Cloud Computing
Design of M-Learning Platform based on Cloud Computing 1 Yan Ma, 2 Lunpeng Liu, 3 Tianping Dong, 4 Anping Zhao 1, First Author College of Computer and Information Science, Chongqing Normal University,
More informationInternational Journal of Innovative Research in Computer and Communication Engineering
Achieve Ranking Accuracy Using Cloudrank Framework for Cloud Services R.Yuvarani 1, M.Sivalakshmi 2 M.E, Department of CSE, Syed Ammal Engineering College, Ramanathapuram, India ABSTRACT: Building high
More informationAn Experimental Approach Towards Big Data for Analyzing Memory Utilization on a Hadoop cluster using HDFS and MapReduce.
An Experimental Approach Towards Big Data for Analyzing Memory Utilization on a Hadoop cluster using HDFS and MapReduce. Amrit Pal Stdt, Dept of Computer Engineering and Application, National Institute
More informationThe ABC Wind Power Station Construction Project Management Performance Study. 15356-Project Performance Improvement
The ABC Wind Power Station Construction Management Performance Study 15356- Performance Improvement Yi Gao 11672096 16-06-2014 Abstract At the present, there are too many academic researches concentrated
More informationPermanent Link: http://espace.library.curtin.edu.au/r?func=dbin-jump-full&local_base=gen01-era02&object_id=172306
Citation: Rehman, Zia and Hussain, Farookh K. and Hussain, Omar K. 2011. Towards multi-criteria cloud service selection, in 5th International Conference on Innovative Mobile and Internet Services in Ubiquitous
More informationDynamic Resource Allocation in Software Defined and Virtual Networks: A Comparative Analysis
Dynamic Resource Allocation in Software Defined and Virtual Networks: A Comparative Analysis Felipe Augusto Nunes de Oliveira - GRR20112021 João Victor Tozatti Risso - GRR20120726 Abstract. The increasing
More informationResearch on supply chain risk evaluation based on the core enterprise-take the pharmaceutical industry for example
Available online www.jocpr.com Journal of Chemical and Pharmaceutical Research, 2014, 6(6):593-598 Research Article ISSN : 0975-7384 CODEN(USA) : JCPRC5 Research on supply chain risk evaluation based on
More informationResearch of the Combination of Distributed Business Processes Based on Dynamic Planning
, pp.257-266 http://dx.doi.org/10.14257/ijunesst.2015.8.6.25 Research of the Combination of Distributed Business Processes Based on Dynamic Planning Yuan Gang, Sun Rui-zhi and Shi Yin-xue Key laboratory
More informationGrey and Fuzzy Evaluation of Information System Disaster Recovery Capability
2nd International Conference on Advances in Computer Science and Engineering (CSE 2013) Grey and Fuzzy Evaluation of Information System Disaster Recovery Capability Yuan Chunyang National Computer network
More informationContractor selection using the analytic network process
Construction Management and Economics (December 2004) 22, 1021 1032 Contractor selection using the analytic network process EDDIE W. L. CHENG and HENG LI* Department of Building and Real Estate, The Hong
More informationMulti-service Load Balancing in a Heterogeneous Network with Vertical Handover
1 Multi-service Load Balancing in a Heterogeneous Network with Vertical Handover Jie Xu, Member, IEEE, Yuming Jiang, Member, IEEE, and Andrew Perkis, Member, IEEE Abstract In this paper we investigate
More informationAn efficient Join-Engine to the SQL query based on Hive with Hbase Zhao zhi-cheng & Jiang Yi
International Conference on Applied Science and Engineering Innovation (ASEI 2015) An efficient Join-Engine to the SQL query based on Hive with Hbase Zhao zhi-cheng & Jiang Yi Institute of Computer Forensics,
More informationPresentation of Multi Level Data Replication Distributed Decision Making Strategy for High Priority Tasks in Real Time Data Grids
Presentation of Multi Level Data Replication Distributed Decision Making Strategy for High Priority Tasks in Real Time Data Grids Naghmeh Esmaieli Esmaily.naghmeh@gmail.com Mahdi Jafari Ser_jafari@yahoo.com
More informationStudy of Lightning Damage Risk Assessment Method for Power Grid
Energy and Power Engineering, 2013, 5, 1478-1483 doi:10.4236/epe.2013.54b280 Published Online July 2013 (http://www.scirp.org/journal/epe) Study of Lightning Damage Risk Assessment Method for Power Grid
More informationResearch on Credibility Measurement Method of Data In Big Data
Journal of Information Hiding and Multimedia Signal Processing c 2016 ISSN 2073-4212 Ubiquitous International Volume 7, Number 4, July 2016 Research on Credibility Measurement Method of Data In Big Data
More informationOn the Interaction and Competition among Internet Service Providers
On the Interaction and Competition among Internet Service Providers Sam C.M. Lee John C.S. Lui + Abstract The current Internet architecture comprises of different privately owned Internet service providers
More informationHow To Protect Your Privacy From Big Data, Privacy Protection, And Information Security From A Data Control System
The Open Cybernetics & Systemics Journal Disclaimer: This article has been published immediately upon acceptance (by the Editors of the journal) as a provisional PDF from the revised version submitted
More informationQOS Based Web Service Ranking Using Fuzzy C-means Clusters
Research Journal of Applied Sciences, Engineering and Technology 10(9): 1045-1050, 2015 ISSN: 2040-7459; e-issn: 2040-7467 Maxwell Scientific Organization, 2015 Submitted: March 19, 2015 Accepted: April
More informationCLASSIFYING NETWORK TRAFFIC IN THE BIG DATA ERA
CLASSIFYING NETWORK TRAFFIC IN THE BIG DATA ERA Professor Yang Xiang Network Security and Computing Laboratory (NSCLab) School of Information Technology Deakin University, Melbourne, Australia http://anss.org.au/nsclab
More informationThe allocation algorithm for data centers in cloud computing architecture from security perspective
The allocation algorithm for data centers in cloud computing architecture from security perspective *Chuan-Gang Liu 1,Hsin-Yi Lin, Kun-Ta Hsien Deparament of Information Technology, Chia Nan University
More informationFUZZY CLUSTERING ANALYSIS OF DATA MINING: APPLICATION TO AN ACCIDENT MINING SYSTEM
International Journal of Innovative Computing, Information and Control ICIC International c 0 ISSN 34-48 Volume 8, Number 8, August 0 pp. 4 FUZZY CLUSTERING ANALYSIS OF DATA MINING: APPLICATION TO AN ACCIDENT
More informationA Review On SLA And Various Approaches For Efficient Cloud Service Provider Selection Shreyas G. Patel Student of M.E, CSE Department, PIET Limda
A Review On SLA And Various Approaches For Efficient Cloud Service Provider Selection Shreyas G. Patel Student of M.E, CSE Department, PIET Limda Prof. Gordhan B. Jethava Head & Assistant Professor, Information
More informationGenetic Algorithm Based Interconnection Network Topology Optimization Analysis
Genetic Algorithm Based Interconnection Network Topology Optimization Analysis 1 WANG Peng, 2 Wang XueFei, 3 Wu YaMing 1,3 College of Information Engineering, Suihua University, Suihua Heilongjiang, 152061
More informationGuidelines for Selecting Hadoop Schedulers based on System Heterogeneity
Noname manuscript No. (will be inserted by the editor) Guidelines for Selecting Hadoop Schedulers based on System Heterogeneity Aysan Rasooli Douglas G. Down Received: date / Accepted: date Abstract Hadoop
More informationA Method Based on the Combination of Dynamic and Static Load Balancing Strategy in Distributed Rendering Systems
Journal of Computational Information Systems : 4 (24) 759 766 Available at http://www.jofcis.com A Method Based on the Combination of Dynamic and Static Load Balancing Strategy in Distributed Rendering
More informationParallel Data Selection Based on Neurodynamic Optimization in the Era of Big Data
Parallel Data Selection Based on Neurodynamic Optimization in the Era of Big Data Jun Wang Department of Mechanical and Automation Engineering The Chinese University of Hong Kong Shatin, New Territories,
More informationA Cloud Computing-Based ERP System under The Cloud Manufacturing
A Cloud Computing-Based ERP System under The Cloud Manufacturing Environment 1 Nan Yang, 2 Dongbo Li, 3 Yifei Tong 1, First Author Department of Industry Engineering,Nanjing University of Science and Technology,Nanjing210094,People
More informationANALYTIC HIERARCHY PROCESS (AHP) TUTORIAL
Kardi Teknomo ANALYTIC HIERARCHY PROCESS (AHP) TUTORIAL Revoledu.com Table of Contents Analytic Hierarchy Process (AHP) Tutorial... 1 Multi Criteria Decision Making... 1 Cross Tabulation... 2 Evaluation
More informationA Layered Signcryption Model for Secure Cloud System Communication
Available Online at www.ijcsmc.com International Journal of Computer Science and Mobile Computing A Monthly Journal of Computer Science and Information Technology IJCSMC, Vol. 4, Issue. 6, June 2015, pg.1086
More informationA Topology-Aware Relay Lookup Scheme for P2P VoIP System
Int. J. Communications, Network and System Sciences, 2010, 3, 119-125 doi:10.4236/ijcns.2010.32018 Published Online February 2010 (http://www.scirp.org/journal/ijcns/). A Topology-Aware Relay Lookup Scheme
More informationEvaluating Simulation Software Alternatives through ANP
Proceedings of the 2011 International Conference on Industrial Engineering and Operations Management Kuala Lumpur, Malaysia, January 22 24, 2011 Evaluating Simulation Software Alternatives through ANP
More informationA NOVEL APPROACH FOR MULTI-KEYWORD SEARCH WITH ANONYMOUS ID ASSIGNMENT OVER ENCRYPTED CLOUD DATA
A NOVEL APPROACH FOR MULTI-KEYWORD SEARCH WITH ANONYMOUS ID ASSIGNMENT OVER ENCRYPTED CLOUD DATA U.Pandi Priya 1, R.Padma Priya 2 1 Research Scholar, Department of Computer Science and Information Technology,
More informationProfit Maximization for Service Providers using Hybrid Pricing in Cloud Computing
Profit Maximization for Service Providers using Hybrid in Cloud Computing N.Ani Brown Mary Anna University Tirunelveli, India Abstract: Cloud computing has recently emerged as one of the buzzwords in the
More informationStudy on Secure File Transfer Scheme on ARM9-based Security
Study on Secure File Transfer Scheme on ARM9-based Security Authentication Platform * (School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, 411201) * Email:idlink@163.com
More informationStudy of data structure and algorithm design teaching reform based on CDIO model
Study of data structure and algorithm design teaching reform based on CDIO model Li tongyan, Fu lin (Chengdu University of Information Technology, 610225, China) ABSTRACT CDIO is a new and innovative engineering
More informationBig Data Analytics of Multi-Relationship Online Social Network Based on Multi-Subnet Composited Complex Network
, pp.273-284 http://dx.doi.org/10.14257/ijdta.2015.8.5.24 Big Data Analytics of Multi-Relationship Online Social Network Based on Multi-Subnet Composited Complex Network Gengxin Sun 1, Sheng Bin 2 and
More informationAdvances in Natural and Applied Sciences
AENSI Journals Advances in Natural and Applied Sciences ISSN:1995-0772 EISSN: 1998-1090 Journal home page: www.aensiweb.com/anas Clustering Algorithm Based On Hadoop for Big Data 1 Jayalatchumy D. and
More informationENERGY-EFFICIENT TASK SCHEDULING ALGORITHMS FOR CLOUD DATA CENTERS
ENERGY-EFFICIENT TASK SCHEDULING ALGORITHMS FOR CLOUD DATA CENTERS T. Jenifer Nirubah 1, Rose Rani John 2 1 Post-Graduate Student, Department of Computer Science and Engineering, Karunya University, Tamil
More informationK.Niha, Dr. W.Aisha Banu, Ruby Anette
International Journal of Scientific & Engineering Research, Volume 6, Issue 4, April-2015 41 A Cloud Service Providers Ranking System Using Ontology K.Niha, Dr. W.Aisha Banu, Ruby Anette Abstract Cloud
More informationDesign call center management system of e-commerce based on BP neural network and multifractal
Available online www.jocpr.com Journal of Chemical and Pharmaceutical Research, 2014, 6(6):951-956 Research Article ISSN : 0975-7384 CODEN(USA) : JCPRC5 Design call center management system of e-commerce
More informationA SaaS-based Logistics Informatization Model for Specialized Farmers Cooperatives in China
A SaaS-based Logistics Informatization Model for Specialized Farmers Cooperatives in China Zhongqiang Liu 1, Kaiyi Wang 1*, Shufeng Wang 1, Feng Yang 1 and Xiandi Zhang 1, 1 Beijing Research Center for
More information