QoS Based Web Services Composition using Ant Colony Optimization: Mobile Agent Approach

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1 Iteratioal Joural of Advaced Research i Computer ad Commuicatio Egieerig, QoS Based Web Services Compositio usig At Coloy Optimizatio: Mobile Aget Approach Suil R Dhore, Prof. Dr M U Kharat Associate Professor & Member IEEE, Dept. Of CSE, Army Istitute of Techology, Pue, Idia Professor, Dept. Of CSE, MET's Istitute of Egieerig, Bhujbal Kowledge City, Nashik, M.S. Idia Abstract: Web Services are based o distributed techology ad provide stadard meas of iteroperatig betwee differet software applicatios across ad withi orgaizatioal boudaries with the use of XML. Web Services techologies allow iteractio betwee applicatios. Sometimes a sigle service give aloe does ot meet user s eeds. I this case, it is ecessary to compose several services i order to achieve the user s goal. I web service compositio, a repository of services is give i which iput ad output parameters of each service are aotated with a cocept from otology. Give request is defied by a set of kow iput cocepts ad a set of wated output cocepts. Sematic composer should fid a sequece of services, called compositio that satisfies the wated output cocept. I this paper, a sematic composer based o at coloy optimizatio method is proposed. The proposed composer ca fid optimal compositio legth i each challege set i a reasoable time. The result of the suggested compositio ca be compare with the best result reported i Web service cosortium (WSC). The ovelty of this work lies with our multi-objective optimal-path selectio modellig for QoS-based dyamic web service compositio ad a ew versio of ACO algorithm that is proposed to solve this multi-objective optimizatio problem. Keywords: Web Service, Web Service Compositio, Quality of Service, Multi-Aget System, Service-orieted architecture, Multi Objective At Coloy Optimizatio I. INTRODUCTION Web Services as techology based o ope XML stadards like SOAP, WSDL, ad UDDI are widely used for itegratio purposes withi eterprises. Beyod this, Web Services have the potetial to be composed to cross orgaizatioal workflows. Due to their loosely-coupled ature Web Services hosted by exteral providers ca be itegrated at rutime. This visio aims at dyamic ad-hoc collaboratios betwee differet busiess parters. With the icreasig umber of Web Services with similar or idetical fuctioality, the o-fuctioal properties of a Web Service will become more ad more importat. Besides the costs for usig Web Services, the Quality of Service (QoS) attributes (e.g. availability, respose time, ad throughput) are subsumed as o-fuctioal attributes. Cosiderig those o-fuctioal properties is crucial for compaies to meet the requiremets of customers. As a cosequece, the QoS has to be explicitly maaged at the desigig phase of a Web Service compositio as well as durig its executio at rutime. Focusig o the QoS-aware Web Service executio we have propose the proxy architecture AWSQoSX (Aget based Web Services Quality of Service Architectural Extesio) that supports late bidig of Web Services at rutime as well as dedicated accoutig ad moitorig mechaisms. I this proposal, the focus is o QoS-aware Web service compositio. We defie QoS-aware Web Service compositio as the selectio of Web Services maximizig the QoS of the overall Web Service compositio, takig ito accout prefereces ad costraits defied by the user. For this, a utility fuctio maximizig the overall QoS subject to QoS costraits is itroduced. This leads to a optimizatio problem that is NP-hard. I this paper, we propose At Coloy Optimizatio method ad Mobile aget approach for solvig the QoSaware Web Service compositio problem. This paper the Copyright to IJARCCE 519

2 Iteratioal Joural of Advaced Research i Computer ad Commuicatio Egieerig, itroduces four basic objective fuctios. The advatage of proposed approach is to recogize the feasibility of the compositio process at ay poit of executio ad produce better throughput ad less cosumptio of memory to select compositio of web services. AIM: To desig ad aalyze Multi-objective aget based At coloy optimizatio QoS Model ad service decompositio OBJECTIVE: QoS performace compariso ad aalysis. II LITERATURE SURVEY Referece [01] discusses the Quality of Service (QoS)- aware compositio of web Services. The work is based o the assumptio that for each task i a workflow a set of alterative Web Services with similar fuctioality is available ad that these Web Services have differet QoS parameters ad costs. This leads to the geeral optimizatio problem of how to select Web Services for each task so that the overall QoS ad cost requiremets of the compositio are satisfied. I Referece[02] ru-time bidig of web services has bee recetly put forward i order to support rapid ad dyamic web service compositios. As with the growig umber of alterative web services that provide the same fuctioality but differ i quality parameters, the service compositio becomes a decisio problem o which compoet services should be selected such that user s ed-to-ed QoS requiremets (e.g. availability, respose time) ad prefereces (e.g. price) are satisfied. The proposed solutio cosists of two steps: first, they use mixed iteger programmig (MIP) to fid the optimal decompositio of global QoS costraits ito local costraits. Secod, proposer use distributed local selectio to fid the best web services that satisfy these local costraits. Referece [04] I this referece the researcher describe their solutio for pro-active Web services selectio ad compositio. I particular, they cosider a logic-based method for services compositio ad marketplace-based system architecture supportig aget commuicatio, egotiatio ad sematically reasoig i the compositio process. Further i Referece [05] The proposed approach has a ew multi-layer Web Services compositio model based o Multi-Aget System. They propose a differet selfadaptive mechaisms correspodig to differet eviromet s evolutios to improve the reliability of Web Services compositio efficietly. Also author itroduce a algorithm for dyamic approach to select the best compositio. This compositio is selected based o the quality ad the compose-ability of participated services. Advatage of the proposed approach is to recogize the feasibility of the compositio process at ay poit of executio ad produce better throughput ad a less cosumptio of memory to select compositio of services dyamically. To use web service compositio i service orieted architecture Referece[06] explais Service-Orieted Architecture (SOA) as a flexible framework for service compositio. The problem is modelled i two ways: the combiatorial model ad the graph model. The combiatorial model defies the problem as a multi dimesio multi-choice 0-1 kapsack problem (MMKP). The graph model defies the problem as a multicostrait optimal path (MCOP) problem. Efficiet heuristic algorithms for service processes of differet compositio structures are preseted i this article ad their performaces are studied by simulatios. I Referece[07] authors preset a QoS broker based architecture for web services. The mai goal of the architecture is to support the cliet i selectig web services based o his/her required QoS. To achieve this goal, they propose a two-phase verificatio techique that is performed by a third party broker. The first phase cosists of sytactic ad sematic verificatio of the service iterface descriptio icludig the QoS parameters descriptio. The secod phase cosists of applyig a measuremet techique to compute the QoS metrics stated i the service iterface ad compares their values with the claimed oe. This is used to verify the coformity of a web service from the QoS poit of view (QoS testig). I the Referece [11] the authors explais about Performace Aalysis of Mobile Agets says Mobileaget performace is a critical issue for mobile-aget based systems ad their feasibility. They have utilized discrete-evet simulatio techique to build a performace evaluatio scheme for geeric mobile-aget systems. To prove the use of At coloy optimizatio i service orieted architecture we referred Referece [12] which says Service compositio algorithms play a importat role i selectig services from differet providers to reach desirable QoS levels accordig to the performace requiremets of composite services, ad improve customer satisfactio. This paper proposes a ovel QoSbased dyamic service compositio techique for web services with At Coloy Optimizatio (ACO) i a optimizatio approach. Referece[18] o Mobile Aget System for Web Services Itegratio i Pervasive Networks elaborate Copyright to IJARCCE 520

3 Iteratioal Joural of Advaced Research i Computer ad Commuicatio Egieerig, about the itegratio of mobile agets for web services, the study i this paper adopts the mobile aget Techology i respose to this problem ad presets a mobile aget system for Web Services itegratio The eed of the aget based techology i iteret programmig is discuss i Referece[22] has titled Mobile Agets ad the Future of the Iteret ad to justify this, authors presets the use of mobile agets ad code by metioig that Use of the Iteret has exploded i recet years with the appearace of the World-Wide Web. I this paper, author show how curret techological treds may lead to a system based substatially o mobile code, ad i may cases, mobile agets. Author discusses several techical ad otechical hurdles alog the path to that evetuality. It seems likely that, withi a few years, early all major Iteret sites will be capable of hostig ad willig to host some form of mobile code or mobile agets. Referece[36] Explais about Web Service Negotiatio is a techology that autoomous etities reach agreemet ad meet both eeds through egotiatio. Web Service egotiatio mechaism ad coordiated-egotiatio architecture o this basis have become hot issues of curret research. The Coordiated-Negotiatio Architecture of Web Service Compositio based o Aget is a relative popular oe i curret architectures. However, there are some problems of it: ureasoable use of time ad data lik resources i the coditio of multiegotiatio cocurrecy, which results i iefficiecy of egotiatio; lack of effective processig whe cofrotig egotiatio failure. Referece[39] discoverig web services usig keyword based search techiques offered by existig UDDI API may ot yield results that are tailored the cliet eeds. Whe discoverig the web services, cliets look for those that meet their requiremets, primarily the overall fuctioality ad QoS. Stadard such as UDDI, WSDL ad SOAP have the potetial of providig QoS aware discovery, however there is techical challeges associated with existig stadard. This is overcome by web service relevacy fuctio used for measurig the relevace of rakig of particular web service. Fially i Referece[41] web service compositio usig aget ad ACO is become cocrete because it says, Dyamic Web Service compositio is a key techology for buildig the service-orieted, loose couplig ad itegrated applicatios. I this paper, author preset a ovel global QoS optimizig ad multi-objective Web Services selectio algorithm based o Multi-objective At Coloy Optimizatio (MOACO) for the Dyamic Web Service compositio. III Research Methodology / Material & Methods i Details A.Abstract ad Composite Web Services: As show i Fig.01 we distiguish i the compositio process betwee the followig two cocepts: A abstract composite service, which ca be defied as a abstract represetatio of a compositio request CSabstract = {S1,..., S}. CSabstract refers to the required service classes (e.g. flight bookig) without referrig to ay cocrete web A cocrete composite service, which ca be defied as a istatiatio of a abstract composite service. This ca be obtaied by bidig each abstract service class i CSabstract to a cocrete web service sj, such that sj Sj. We use CS to deote a cocrete composite service. Iput :Abstract Compositio Discovery QOS Based selectio Abstract services Alterative web services output :Cocrete Compositio Cloud of web service cocrete web services Fig. 01 : Coceptual overview of Web Services B. Web Service Compositio: Web Service compositios ca be see as workflows based o Web Services. As depicted i Figure02, there is a workflow model that cosists of abstract tasks describig the required fuctioality (e.g. ivokig a credit ratig) of a specific workflow step. Oe of the mai issues hereby is the selectio of appropriate Web Services Copyright to IJARCCE 521

4 Iteratioal Joural of Advaced Research i Computer ad Commuicatio Egieerig, that form the executio pla for a Web Service compositio. The fuctioality of each task ca be provided by differet cadidate Web Services. Web Services that provide similar or idetical fuctioality are grouped i the same category. Web Services withi the same category may have differet o-fuctioal attributes. Defiitio: A sequetial Web Service compositio cosists of tasks. Task i (,...,) will be executed before task i (i =1,...,) if i<i. The set of mi differet cadidate Web Services that provide the required fuctioality for task i is called category i. A biary variable xi,j is itroduced. Xi, meas that Web Service j of category i is selected for beig executed withi the executio pla. To esure that oly oe Web Service per task is selected, it is ecessary that m i X i,j =1,.., Task1 Task2 Task WS1,1 WS1,2 Category 1 WS2,1 WS2,2 WS1, Category 2 Fig. 02 : Web Service Compositio workflow model Cadidate web service WS,1 WS,2 WS,3 Category WS1,2 WS2,1 WS,3 Executio model C. QoS Criteria: I our study we cosider quatitative o-fuctioal properties of web services, which ca be used to describe the quality criteria of a web service. These ca iclude geeric QoS attributes like respose time, availability, price, reputatio, throughput etc, as well as domai-specific QoS attributes like badwidth for multimedia web services as log as these attributes ca be quatified ad represeted by real umbers. We use the vector Qs = {q1(s),..., qr(s)} to represet the QoS attributes of service s, where the fuctio qi(s) Aggregatio Type Examples Fuctio Summatio Respose Time Price q (CS) = q(s j ) Reputatio q (CS) =1/ q(s j ) Multiplicatio Availability Reliability q (CS) =1/ q(s j ) Miimum Throughput q (CS) =1/ mi q(s j ) determies the value of the i-th quality attribute of s. The values of these QoS attributes ca be either collected from service providers directly (e.g. price), recorded from previous executio moitorig (e.g. respose time) or from user feedbacks (e.g. reputatio). The set of QoS attributes ca be divided ito two subsets: positive ad egative QoS attributes. The values of positive attributes eed to be maximized (e.g. throughput ad availability), whereas the values of egative attributes eed to be miimized (e.g. price ad respose time). For the sake of simplicity, here we cosider oly egative attributes (positive attributes ca be easily trasformed ito egative attributes by multiplyig their values by -1). D.QoS Computatio of Composite Services: The QoS value of a composite service is decided by the QoS values of its compoet services as well as the compositio model used (e.g. sequetial, parallel, coditioal ad/or loops). I this paper, we focus o the sequetial compositio model. Other models may be reduced or trasformed to the sequetial model. Techiques for hadlig multiple executio paths ad Ufoldig loops from, ca be used for this purpose. The QoS vector for a composite service CS is defied as: Q CS = {q 01(CS),..., q 0r(CS)}. Q i(cs) represets the estimated value of the i-th QoS attribute of CS ad ca be aggregated from the expected QoS values of its compoet services. I our model we cosider three types of QoS aggregatio fuctios: 1) summatio, 2) multiplicatio ad 3) miimum relatio. Copyright to IJARCCE 522

5 Iteratioal Joural of Advaced Research i Computer ad Commuicatio Egieerig, Table 1 shows examples of these aggregatio fuctios. ode IV QoS Aware Service Compositio ad Aalysis A.Web Service QoS Model: There are two layers AS ad CS while composig web services. Fig. 03 describes the relatioship betwee them. Table 01 : Examples of QoS Aggregatio Fuctios Figure 03. Relatioship Betwee AS ad CS AS(i) stads for abstract web service i. CS(i, j) stads for the jth cocrete cadidate for AS(i). I short, our work is o how to choose suitable CS for each AS. The simplest situatio is that there are oly oe AS ad multiple cadidate CSs for it. Oe CS should be chose to meet QoS requiremet. TABLE 2 shows composite attributes for four basic workflow patters. Patter Seque Fork Choi Composite Cost (C) Composite Latecy (L) Composite Availability (A) Composite Reliability (R) : is cosider as ode umber p i = 1 : p i : is probability of chose CS 1,1 CS 1,2 CS 1,3.. ce c i l i a i r i CS 2,1 CS 2,2 CS 2,3.. c i l i a i r i CS 3,1 CS 3,2 CS 3,3.. AS1 AS2 AS3 ce p i c i p i li p i a i p i r i Loo p c l a r Table 02 : Attribute Patter Table for Web Services I this syopsis, four QoS attributes are cosidered, they are cost(c), latecy(l), availability(a) ad reliability(r). Sigle Web Service QoS ca be represeted as (c, l, a, r). I geeral, better quality always meas higher availability ad reliability, ad lower cost ad latecy. Composite web service QoS is based o sigle web services. Accordig to, four commo compositio patters ad four basic quality attributes are aalysed here. For each patter, quality value calculatio for composite web services ca be totally differet. A real web service compositio will compose some of the above patters to form a useful applicatio. B.Geeral Web Service Compositio Qos Model : The web service compositio model is costructed as follows: There are odes i the process. Ad ode i is represeted as AS(i). For each AS(i), there are ti CSs for it ad each is called CS(i, j). For each CS(i, j), the quality is cosidered as a vector < cij, lij, aij, rij >, where cij meas cost, lij meas latecy, aij meas availability ad rij meas reliability. So the quality for each AS(i) is represeted as followig matrix. Ci1 Ci2 Cit i AS(i) = Li1 Li2 Lit i (0<i 1) Ai1 Ai2 Ait i Ri1 Ri2 Rit i Ad the best quality web services for compositio meet the followig costraits (Ki meas the chose umber of Cs for ode i) C(C 1,k(1), C 2,k(2).. C,k() ) maxcost L(L 1,k(1), L 2,k(2).. L,k() ) maxlatecy A(A 1,k(1), A 2,k(2).. A,k() ) maxavailabi R(R 1,k(1), R 2,k(2).. R,k() ) maxreliabili Ad the objective fuctio is : Mi F(CS 1,k(1), CS 2,k(2).. CS,k() ) The first four costraits are global costraits, ad the last is objective fuctio. The objective fuctio ca be represeted as differet styles based o differet user Copyright to IJARCCE 523

6 Iteratioal Joural of Advaced Research i Computer ad Commuicatio Egieerig, requiremets. Assumig availability ad reliability are always above some value, oly cost ad latecy are discussed i this proposal. Ad it s ot difficult to exted to iclude availability ad reliability if ecessary. V.Eablig Web Services Compositio with Software Agets: So, We proposed a framework to support egotiatio durig QoS aware Web Service Compositio. We add two layers betwee service requiremet ad web service cadidates, as show i figure 04. I the first layer, each Web Service cadidate is liked to a home orm base, which ca be used by home aget to egotiate amog other home agets. Norms are a set of rules ad regulatios, a uder-lyig protocol goverig the aget commuicatios etwork ad agets complex behaviour. Norms revolves aroud agets, which iflueces the Meta-Norm agets to execute a series of cocerted actios to achieve a particular goal. Ad the secod layer is compositio algorithm which liks with the home aget for choosig the best services for the compositio. Defiitio 2 Cocrete Executio Path (CEP): A cocrete executio path is a path i which each ode is a cocrete (real) service that correspods to a abstract service o a abstract executio path. A abstract executio path ca have more tha oe cocrete executio path. Service Requester Service Aget Coordiatig Aget Aget1 Aget2 Aget3 Algorithm for compositio Norm1 Norm Norm3 2 Service1 Service2 Service3 Fig 04 : Proposed Framework Usig Agets VI.QoS-Based Web Service Compositio with MO ACO : As a basic cotrol strategy, divide ad coquer is widely used to solve complex problems. This strategy is adopted i our study by decomposig composite services with a geeral flow structure ito parallel executio paths, each of which is essetially a sequetial flow structure. The maximum umber of parallel executio paths is determied by the umber of AND split structure patters i the composite service. Defiitio 1 Abstract Executio Path (AEP): A abstract executio path is defied as a sequetial path from the startig poit to edig poit i the fuctioal graph, which icludes oly oe brach i coditioal operatios (startig at a XOR split) ad oe brach i parallel operatios (startig at a AND split), ad does ot iclude ay abstract services that have bee icluded i ay other abstract path. Defiitio 2 Cocrete Executio Path (CEP): A cocrete executio path is a path i which each ode is a cocrete (real) service that correspods to a abstract service o a abstract executio path. A abstract executio path ca have more tha oe cocrete executio path. Copyright to IJARCCE 524

7 Iteratioal Joural of Advaced Research i Computer ad Commuicatio Egieerig, Defiitio 3 (Geeral MOP): A geeral MOP is to fid a vector x = [x1, x2, x3,..., x] which optimizes the vector fuctio f( x ) = [ f1( x ), f2( x).fm( x)] where xi (i = 1,..., ) are called decisio variables (parameters) & fi(x ), i = 1,..., m, are the objective fuctios for the correspodig m objectives. pheromoe laid o the edge betwee web service cs(i,) ad web service cs(j,m) which is ituitively give as below: Δτ(i,),(j,m) = [Δτ 1 (i,),(j,m).δτ K (i,),(j,m)] if edge is visited Δτ(i,),(j,m) = 0 if o edge visited Where : 1. Rule for Miimizatio Attributes: cs.a i = a i max cs.a i if a i max a i mi a i max cs.a i 1 If a i max= a i mi 2. Rule for Maximizatio Attributes: cs.a i = Service cadidate Set Ci Cs(i,1) Cs(i,-1) Cs(i,) cs.a i - a i mi if a i max a i mi a i max a i mi 1 If a i max= a i mi : τ(i,),(j,m)(t)+ τ(i,),(j,m) Fig 05: Pheromoe o Edges Service cadidate Set Cj The pheromoe is updated accordig to the formula: τ(i,),(j,m)= τ(i,),(j,m)(t)+ Δτ(i,),(j,m) where Δτ(i,),(j,m) is the quatity of Cs(j,1) Cs(j,-1) Cs(j,) Gw/Lp(f(x)) Δτ(i,),(j,m) = (w {1..k}) f 0 - f w (x) Ad G1 to Gk are costat set accordig to the weight of each attributes. Particularly, the pheromoe updatig rule as Istead as: Gw/Lp(f(x)) (w {1..k}) f 0 - f w (x) Gw (w {1..k}) f 0 - f w (x) The reaso for this is based o the cosideratio that we prefer those solutios that ca approach ideal value of each objective i the ideal vector as close as possible ad meawhile, miimize the multi objective utility fuctio or else, the solutios that ca perfectly optimize some objective but may badly fail to optimize the other objectives ca be reiforced. VII.Coclusio We propose a strategy to decompose a composite services with a geeral flow structure ito parallel executio paths. We the model dyamic service compositio for each executio path as a multi-objective optimizatio problem, ad preset a ew versio of ACO algorithm, MO ACO with the aget to store web service specificatio, to hadle this problem. The study illustrate that our MO ACO approach ca fid ear-optimal solutios o the fly for multi-objective problems out of a huge search space i a very efficiet way. The literature survey also reveal that MO ACO is scalable to support compositio of very complex web services ad aget based techology utilize miimum badwidth ad memory. I the research field of ACO, some Copyright to IJARCCE 525

8 Iteratioal Joural of Advaced Research i Computer ad Commuicatio Egieerig, improvemet has bee proposed to further improve the performace of ACO algorithms. We will explore the possibility to itegrate the improvemet strategy ito our MO ACO with aget based techology i order for achievig eve better QoS of composite service from dyamic web service compositio by at coloy optimizatio with agets as web service. Refereces [1] Raier berber, Ralf Steimetz Heuristics of QoSaware Web service Compositio IEEE Iteratioal Coferece o Web Services (ICWS 2006) [2] Mohammad Alrifai, Thomass Risse combiig Global optimizatio with local selectio for efficiet QOS-Aware Service compositio ICW3C2, april 20-24,2009, Madrid Spai, ACM [3] Tao ZHOU, Dere Che ad Xiaoli ZHENG Objective fuctio aalysis for QoS-Aware web service Compositio IEEE Iteratioa coferece o e- Bussiess Egieerig (ICEBE 06) /06 IEEE [4]Mihhail Matski, sobah abbas Peterso Eablig Web Service Compositio with software agets Norweig Uiversity, [email protected] [5]G Vadivelou, E.IIvarasa, S. Prasaa algorithm for web service compositio usig Multi-Agets Iteratioal Joural of computer Applicatio ( ) Volume 13- No.8, Jauary 2011 [6]Tao Yu, Yue Zhag Efficiet Algorithms for Web services Selectio with ed to ed QoS costraits ACM trasactio o web, vol 1, No. 1, Article 6, May 2007 [7] M. adel serhai, rachida Dssouli A QoS broker based architecture for efficiet web service selectio proceedig of IEEE iteratioal coferece o web services ICWS /05 [8] Floria roseberge, Max Bejamie muller Metaheuristic Optimizatio of large scale QoS aware service Compositios 2010 IEEE iteratioal coferece o service computig, IEEE [9] Ekachai Jihirukul, perapho sophatsathit Web avigatio aalysis ad simulatio usig at Coloy Optimizatio Proceedig of the 4 th iteratioal coferece o autoomous Robot ad agets Feb IEEE [10] Amit Padovitz, Shoali Khrishswamy ad Seg Wai Loke Towards efficiet selectio of web services 1 st Iteratioal coferece o Web services ad aget based Egieerig, Sydeey, Australia, July 2003 [11]Kristia Lerma desig ad mathematical aalysis aget based system Iformatio Sciece Istitute, Uiversity of souther Califoria, USA [12]Wei Zhag, Carl Chag QoS based dyamic Web service Compositio with at coloy optimizatio 34 th aual IEEE computer software ad applicatio coferece / IEEE [13]M. Erdem Tijrsem, M hadi Gues performace aalysis of mobile agets usig simulatio Bogazici Uiversity, Istabul, Turkey [14]Aki Vaiio ad Kimmo Salmejko Improvig study plaig with a aget based system Faculty of Techology, uiversity of Vaasa, Filad [15] Wei-eg che, Ju Zag workflow schedulig i grids : a At coloy Optimizatio approach IEEE [16]M A R Datas ad T G Ramos A ehaced schedulig approach i a distributed parallel eviromet usig mobile agets proceedig of the 16 th Aual symposium o high peroformace computig systems ad applicatios (HPCS 02) @2002 [17] Giuliaa Marega Marques, Ricardo Jose performace aalysis of schedulig techiques i distributed parallel eviromet /08@2005 IEEE [18] Fuyuki Ishikawa1, Nobukazu Yoshioka2, Yasuyuki Tahara2, Shiichi Hoide2 Mobile Aget System for Web Services Itegratio i ervasive Networks Hitotsubashi, Chiyoda-ku, Tokyo , Japa, fishikawa,obukazu,tahara,[email protected] [19] Viet-Ha Nguye¹, The Duy Bui¹, Quag-Dug Vu¹, Nguye Thi Thu Hie Towards scalable aget based web service systems 144 Xua Thuy Str., Cau Giay Distr., Haoi, Vietam hie [email protected] [20] Abdelkader Outtagarts Mobile Aget-based Applicatios : a Survey IJCSNS Iteratioal Joural of Computer Sciece ad Network Security, VOL.9 No.11, November 2009 [21] Viet-Ha Nguye, The Duy Bui, Quag-Dug Vu, Nguye Thi Thu Hie Towards scalable aget based web service systems 144 Xua Thuy Str., Cau Giay Distr., Haoi, Vietam, hie [email protected] [22] David Kotz ad Robert S. Gray Mobile Agets ad the Future of the Iteret Dartmouth College Haover, New Hampshire [email protected], [24] Toktam Ghafaria, Mohse Kahai sematic Web Services compositio based o at coloy optimizatio method IEEE [25] Vector Muoz, felix At coloy optimizatio for data grid replicatio services Techical report RR DIIS UNIZAR april 2008 [26]Qi Zhao, yaliao Ta A Load balacig based model for Dyamic web service selectio 2 d Iteratioal symposium o computatioal itelligece ad desig, IEEE Copyright to IJARCCE 526

9 Iteratioal Joural of Advaced Research i Computer ad Commuicatio Egieerig, [27]Abazhaga Mai, aru agraja Uderstadig quality of services for web services Report of IBM Software lab, Idia i.ibm.com [28] Viet-Ha Nguye, the Duy Bui towards scalable aget based web service systems uiversity of egieerig ad techology, [email protected] [29] Hoops Web services as distributed systems- part 2 posted i desig ad techologies, December 8,2010 [30]Camelia Chira, M pitea New metaheuristics for distributed computig Computatioal itelligece report (CIR) No , Jue 2006, ISSN X [31]Amir Padovitz, Shoali krishaswamy Towards efficiet selectio of web services Moash Uiversity, [email protected] [32]yougko Lee A Research for web service quality presetatio methodology for SOA Framework 6 th Iteratioal coferece o advaced laguage processig ad web iformatio techology, IEEE [33]Eludiora, Safiriyu Load Balacig policy for distributed web service Iteratioal Joural of commuicatio, etwork ad system scieces- august 2010 [34]Emilio Macii, Umberto villao Mobile Agets self-optimizatio with autoomic web services Spriger verlag berli Heidelberg 2007 [35]Ruimii Liu, Feg Che Aget based web services evolutio for pervasive computig Proceedig of 11 th Asia pacific software egieerig (APSEC 04) / 04 IEEE [36]Bi wu, Chaozhe Guo The research ad improvemet o co-ordiated egotiatio architecture of web service compositio based o aget i coditio of multi egotiatio cocurrecy proceedig of 14 th Iteratioal coferece o computer supported cooperative work i desig / IEEE [37] Gerardo Cafora, maria Vilai a approach for QoS Aware service compositio based o geetic algorithm GECCO 05 ACM Jue 2005 [38] Julia day selectig the best web service uiversity of Saskatchewa, SK, Caada, Julia,day@usask,ca [39] Eyhab Al-Masri, Quasy mohmad QoS Based discovery ad rakig of web services IEEE [40] Zakaria maamar, Hamdi Yahyaoui Towards a aget based ad cotext orieted approach for web services compositio IEEE trasactio o kowledge ad data egieerig, Vol. 17, o. 5, may Biography Mr. Suil R Dhore is curretly workig as associate professor at Army Istitute of Techology, Pue(MS) Idia. He Completed his ME(Computer Egg) from College of egieerig Pue, curretly pursuig his PhD from Amaravati Uiversity. His research area is Distributed System. Dr.M U Kharat is workig as Professor at MET s College of Egieerig, Bujbal Kowledge City, Nashik(MS) Idia. His area of iterest if High performace etwork ad Distributed System Copyright to IJARCCE 527