Service Computing: Concept, Method and Technology by Zhaohui Wu

By Zhaohui Wu

Service computing is a cross-disciplinary box that covers technology and know-how, and represents a promising course for allotted computing and software program improvement methodologies. It goals to bridge the space among company companies and IT providers by means of helping the total lifecycle of prone innovation. over the past ten years functions in and educational study have produced massive growth and success

Service Computing: idea, strategy and Technology provides the idea that of provider computing and a proposed reference structure for carrier computing learn earlier than continuing to introduce underlying applied sciences: internet companies and service-oriented structure. It additionally offers the authors’ most modern study findings on scorching subject matters corresponding to provider discovery, advice, composition, verification, provider belief, dynamic configuration and large information carrier. a few new types and strategies are proposed together with 3 carrier discovery equipment in accordance with semantics and skyline applied sciences, carrier suggestion tools utilizing graph mining and QoS prediction, provider composition equipment with graph making plans and one provider verification strategy utilizing π calculus etc. in addition, this booklet introduces JTang, an underlying platform helping provider computing, that's a made from the authors’ final ten years of study and improvement.

  • Systematically studies all of the examine on provider computing
  • Introduces state-of-art study works on provider computing and gives a street map for destiny directions
  • Bridges the distance among provider computing idea and practice
  • Provides information for either and academia

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5. User informs the data access service to change data. 6. Data access service starts a new transaction, writes the new data to the data persistence, and terminates the transaction. 8 Distribute data architecture [24]. 5 Open-Source Platforms for SOA SCA is a complete standard system based on the idea of SOA. There are many developing tools supporting SCA. The open-source tool includes Apache Tuscany, Eclipse STP, PECL, SOA for PHP, CodeCauldron Newton, etc. The business tool includes IBM WPS/ WAS, AquaLogic Data Services Platform, TIBCO ActiveMatrix, Rogue Wave HydraSCA, Covansys SCA Framework for SOA, Infinitflow DSF, etc.

After understanding the similarity relationship among services, those dissimilar service neighbors are filtered by using the TOP_K_S strategy as follows: TSðiÞ ¼ fkjk ˛ TOP K SðiÞ; S Simði; kÞ > 0g Similarly, the difference in latent features of each service inside a neighborhood is assumed to be minor. 25) A local minimum of L2 can be calculated by performing the gradient descent method as follows: n ÁÀ À Á vL1 X ¼ Iij Rij À U T S ÀSj þ l1 Ui vUi j¼1 m X À Á vL1 X ¼ Iij Rij À U T S ðÀUi Þ þ l2 Sj þ a2 Sj À PSjh $Sh vSj i¼1 h ˛ TSðjÞ !

In addition, 150 users and 100 web services are selected randomly as the experimental data. 0. 27 GHz Intel Core I5 CPU and 2GB RAM, running Windows 7 OS. 50 Chapter 3 In the experiments, NMAE is used to evaluate the accuracy of the prediction. Mean absolute error (MAE) is as follows:  P ru;s À r^u;s  mMAE ¼ N in which ru,s is the predicted QoS value of services observed by user u, r^u;s stands for the expected or real QoS value, and N is the total number of predictions. The QoS value range may differ so tremendously that the use of only MAE is not objective enough.

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