MultiGranular: An effective Service Composition Infrastructure for Multi-tenant Service Composition

Software as a service (SaaS) is the main service model in cloud computing and has been generally recognized. More and more traditional software turns to SaaS applications. For SaaS provider, it hopes that it can provide better service performance to tenants while attain more profit. But the two goals are contradictory. So in this paper, we model the SaaS application service provisioning problem as multi-objective optimization problem and propose a service provisioning strategy based on Strength Pareto Evolutionary Algorithm 2 (SPEA2) for SaaS applications in cloud. The experiments show that compared with random strategy and greedy strategy, the service provisioning strategy proposed in this paper can effectively improve the service performance and profit.

Service oriented architecture brings new view on composing web services. Together with cloud it became strong tool for composition. In recent years from variety of options became very popular composition of Software as a Service (SaaS) applications based on business workflows. In this paper, we studied different kinds of web service composition and we focused on business processes. Our goal was to propose and verify an integration architecture that is process-based and enables composition of web services used in educational processes in order to achieve flexible and scalable application deployable in the cloud environment. We validated proposed integration architecture in a system for submitting and evaluating of programming assignments that is deployed as a SaaS application into cloud environment.

A novel and widespread business model in cloud computing is to provide on-demand software as a service (SaaS) over the Internet. The software runs on a server and the user access it through an Internet connection. A single application instance can be shared by multiple users which provide a cost-effective solution to SaaS providers. Varying requirements from multiple users increase complexity in SaaS application design. The success of SaaS depends on its design. SaaS is different than traditional web-based application, so traditional application design model cannot full fill many SaaS specific design requirements. This paper provides a better understanding of key design factors in SaaS development process which results in a successful SaaS product following an improved design process. This study identifies key design factors through literature review and provides guidelines for key design factors on the SaaS application development. Ultimately, it will be beneficial for SaaS developers to improve the SaaS application development process and have a positive impact on the final product.

Software as a service (SaaS) is a promising service model of cloud computing. Its key characteristic is the ability for clients to use a software application on a pay-as-you-go subscription basis. To be economically sustainable, a SaaS application must be multitenant. However, it is generally agreed that designing a multitenant enterprise application in SaaS environments is a non-trival task. In this work, we propose an integrated service middleware that addresses cross-cutting concerns when developing and deploying multitenant enterprise SaaS applications. To verify the feasibility of our approach, a sample SaaS application have been implemented on the proposed middleware. Also, two tenant-specific virtual applications are constructed to demonstrate multi-tenancy. Finally, a series of performance evaluations are conducted to assess the overheads of making an enterprise application multitenant enabled.

In cloud computing, there exist several classes of web services, and each class of web service contains multiple services which have different Quality of Service (QoS) values. To provide QoS for users, determining the best service composition that meet user's preferences is necessity. Finding the best service composition needs a certain method in order to provide the best combination of QoS with minimum response time, while in some cases, the process is bounded by budget constraint provided in user's preferences. In a simple method, for selecting the best service composition, we need to evaluate nm combinations of n classes of service and m services member. This condition leads to a large computing costs and memory consumption that occur during the process of generating the combination of data. To reduce the number of combinations, we propose an approach for finding the best service composition of web services using skyline algorithm which can adapt different user preferences of QoS. While selecting the best composition, we also take consideration in budget as constraint by selecting the closest user's budget with the best skyline result of services. SalSa skyline algorithm have given the new alternative ways to finding the best candidates of services in each class of service in reasonable time. These happened because we only need to evaluate the smaller parts of members in each class which will need much time if the number of services is plenty. Moreover, we also presented a method to find the best composition of services which able to present the composition that meet the user's budget.

Cloud manufacturing (CMfg) is a new type of service-oriented manufacturing paradigm, in which all kinds of manufacturing resources are encapsulated as manufacturing services (MSs) and can be invoked by customers on demand. Manufacturing service composition (MSC) is a key technology in CMfg for creating value-added services to complete complicated manufacturing tasks by aggregating qualified MSs together. However, current MSC approaches have some drawbacks and there still exist some issues remained to be solved: (1) large quantities of candidate services increase the complexity of service dynamic composition, which poses scalability concerns and on-demand efficient solutions; (2) the service domain features (e.g., service prior, correlation, and similarity) that have a strong influence on the efficiency of service composition are not considered adequately, which causes undesirable efficiency in practical service applications; and (3) dynamic characteristics of QoS (quality of service) values in an open network environment are not considered adequately. To effectively address such problems, this paper first proposes a context-aware artificial bee colony (caABC) algorithm based on the principle of ABC and service features in the cloud environment. Then the differential evolution-enhanced caABC, i.e., the so-called DE-caABC, is designed to increase the searching performance of ABC further. Additionally, dynamics of trust QoS is investigated with the introduction of time decay function. Finally, the feasibility and effectiveness of DE-caABC are validated through the experiments.

Cloud computing is a new technique of Information Communication Technology because of its potential benefits such as reduced cost, accessible anywhere anytime as well as its elasticity and flexibility. In this Paper defines cloud Computing, Definition, Essential Characteristics, model of Cloud Computing, Components of Cloud, Advantages & Drawbacks of Cloud Computing and also describe cloud computing in libraries. Ø Keywords: Cloud Computing, SaaS, PaaS, IaaS, Components of the Cloud, Models of Cloud Computing, Benefits of Cloud Computing in Library Servicesand Disadvantages, Libraries And Cloud.

Cloud computing has become popular in various application domains based on infrastructure, platform, and software as a service model. Rapid deployment, high scalability, on-demand, and (theoretically) infinite resources have driven the industry towards the wide adoption of cloud computing services. However, the difficulty of cross-provider resource allocation and seamless resource transition is a major concern for such services. Therefore, the segregated cloud market forces its clients to use provider-specific and pre-configured options for their required resources and services. Thus, the overall market, even with the presence of multiple cloud service providers, operates as a direct service from the providers to the clients, and with non-negotiable pricing strategies for the cloud services. In this article, we propose Bepari, a cost-driven model for opaque service platforms for cloud computing. Bepari acts as a negotiation-based approach to deliver composite cross-provider cloud-based services to the end-users. Bepari provides a detailed service-oriented architecture for multiple cloud service providers to provide cross-platform and composite services. Furthermore, Bepari delivers a detailed cost model and comparison between establishing a cloud service vs. an opaque cloud service. Our empirical framework allows a Bepari service provider to analyze the profit model and create a market niche accordingly. Simulation results are provided, which validate the efficiency of a negotiated pricing strategy in terms of maximized resource utilization and profits for cloud service providers and cost reduction for the cloud users.

In cloud computing environment, identifying and making an ontology model to use SaaS application is very important role in order to find the software applications and use their services efficiently. However, recently, the research about ontology model for SaaS lacked. In this research, we proposed an ontology model for SaaS applications in cloud computing environment. In this model, in order to considered their relation between the SaaS applications, we made Topic Map model on the ontology. The Topic was SaaS applications, systems, and servers. In the Topic Model, we defined the Topic relation and matching function with the Topics. Finally, we made Topic Map based ontology model by 4 layers, Topic, Instance, Association and Occurrence.

Cloud computing is a set of IT services offered to users over the web on a rented base. Recently, cloud computing is considered as a new internet based paradigm for hosting and providing hardware and software services the consumers. The main services models for cloud computing includes: software, platform and infrastructure (as a service), to satisfy the needs of different kinds of organizations. Security in cloud computing is critical when developing services, especially in the education area, cloud computing will be the basic platform of the future E-learning environment. It provides secure data storage, favorable and easy to use internet services and strong computing infrastructure for e-learning environment. This paper will focus on the effectiveness of using e-learning through cloud computing systems. The research study shows that the cloud computing model is extremely valued for both students and instructors to achieve the course objective. The paper presents the advantage, limitation and the challenges of using cloud computing services (IaaS, SaaS, PaaS) as a good platform for e-learning. The descriptive statistics, i.e. of the selected dependent and independent variables that related to the research samples, will be presented by the authors. Arithmetic mean, standard deviation, coefficient of standard variation, etc., will be include in the descriptive statistics. The results of the research study are mainly based on data from questionnaires of survey that have been held by the authors from to February 25, to May 20, 2018, among a sample of adults.

Machine learning (ML)-centric resource management in cloud computing: A review and future directions

Many organizations in education, healthcare, banking and the corporate sector are tending towards the use of cloud computing technology due to its efficiency and human resource savings. Organizations do not need to purchase infrastructure or data centres and can rent access for various applications to use over a network. The services provided by cloud computing are pay-per-use based, which reduces the overall cost. Cloud computing depends entirely on internet service over a network, with customers able to access data through data centres maintained by ISPs such as Google or Amazon. Cloud computing has great potential but faces many challenges to ensure security and privacy. This chapter describes various models of cloud computing, such as IaaS, PaaS and SaaS. Security and privacy concerns faced by the cloud computing environment are also addressed.

In recent years, the number of e-commerce netizen users in China has grown dramatically, and e-commerce users who shop online have also grown rapidly. In this competitive environment, the rapid development of e-commerce has also risen rapidly. Therefore, it is very necessary to actively carry out research on e-commerce models for cloud computing and internet of things technology. The purpose of this article is mainly to explore the research on e-commerce model for cloud computing and internet of things technology and establish a model for cloud computing and internet of things. It has data mining and distribution functions to test multiple indicators such as cloud computing facilities and enterprise performance. The research results show that the number of complaints on the e-commerce model based on cloud computing and internet of things technology is 2,368; the number of complaints on the B2B e-commerce model is 19,955; the number of complaints on the B2C e-commerce model is 5,016; the number of complaints in C2C e-commerce was 51,854.

Cloud Computing: An Innovative Tool for Library Services

A Petri Nets based functional validation for services composition