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In this paper we propose an approach for enhanced data protection in the cloud, based upon accountability governance. Specifically, the relationships between accountability, risk and trust are analyzed in order to suggest characteristics and means to address data governance issues involved when organizations or individuals adopt cloud computing. This analysis takes into account insights from a variety...
The elastic resource provision, non-interfering resource sharing and flexible customized configuration provided by the Cloud infrastructure has shed light on efficient execution of many scientific applications. Due to the increasing deployment of data centers and computer servers around the globe escalated by the higher electricity price, the energy cost on running the computing, communication and...
For service-oriented systems the estimation of QoS is an important factor to determine whether a prospective service composition will meet the expectations of its final users. Many approaches to QoS estimation of service compositions have been proposed. However, not all of them allow the QoS of composition be estimated a priori and systematically from the QoS of its individual services. This is an...
Automatic service composition is still a challenging task. It is even more challenging when dealing with a dynamic market of services for end users. New services may enter the market while other services are completely removed. Furthermore, end users are typically no experts in the domain in which they formulate a request. As a consequence, ambiguous user requests will inevitably emerge and have to...
Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.
Software-as-a-Service (SaaS) is a delivery model whose basic idea is to provide applications to the customer on demand over the Internet. Thereby, SaaS promotes multi-tenancy as a tool to exploit economies of scale. A major drawback of SaaS is the customers' hesitation of sharing infrastructure, application code, or data with other tenants. The common way in research to address this problem is to...
Services are increasingly being hosted on cloud nodes to enhance their performance and increase their availability. The virtually unlimited availability of cloud resources enables service owners to consume resources without quantitative restrictions, paying only for what they use. To avoid cost overruns, resource consumption must be controlled and capped when necessary. We present a distributed tree-based...
The workshop aims to bridge the gap between software engineering, services, business and cloud computing communities by specifically addressing the challenges for software engineering FOR and IN the cloud. The workshop issue extends our scientific query for probing an answer for the above through successive workshops on the Future of Software engineering IN and FOR the Cloud in conjunction with IEEE...
In service computing, a system can be built by integrating the services from different service providers. The security of such system is closely linked to the security of the services that make up the system. This paper studied the security investment of some service computing applications using a game theoretical approach. It proposed two security games for modeling two classes of service computing...
In this paper, we present a web-based medical image processing scientific workflow system called DATAVIEW. This platform is implemented to satisfy the need of physicians to process their data by computer scientists and therefore, overcome the problem of delay for communicating between these two groups and speed up the processing which is very important in emergency conditions. For employing this workflow...
Both improving the execution efficiency and reducing the execution cost are essential for scientific workflows in cloud environments. As many scientific workflow tasks become more data-intensive and computation-intensive, storing their outputs in cloud for reuse is a feasible way to achieve such objectives. Because data storage in cloud would increase the storage cost, though it might mean less computation...
This paper presents the architecture for a self-stabilizing hypervisor able to recover itself in the presence of Byzantine faults regardless of the state it is currently in. Our architecture is applicable to wide variety of underlying hardware and software and does not require augmenting computers with special hardware. The actions representing defense and recovery strategies can be specified by a...
The advent of Big Data created a need for out-of-the-box horizontal scalability for data management systems. This ushered in an array of choices for Big Data management under the umbrella term NoSQL. In this paper, we provide a taxonomy and unified perspective on NoSQL systems. Using this perspective, we compare and contrast various NoSQL systems using multiple facets including system architecture,...
Social media is an increasingly popular method for people to share information and interact with each other. Analysis of social media data has the potential to provide useful insights in a wide range of domains including social science, advertising and policing. Social media information is produced in real-time, and so analysis that can give insights into events as they occur can be particularly valuable...
Data services have almost become a standard way for data publishing and sharing on the web. Lack of well-defined machine readable model hinders its spreading. In this paper, we devote ourselves to modeling and discovery of data services. We use RDF model to describe the data scheme and semantics of the data services. Then we define a simplified SPARQL query to retrieve the satisfactory data services...
With the growth and the diversification of web data, as an approach to realize data mashup service combination cannot satisfy the flexibility and simplicity of data integration. In this paper we proposes service hyperlink to save the relationship between two data services and utilize reusing the service hyperlinks to combine the data services flexibly and easily. First, we develop an algorithm to...
In the Big Data community, MapReduce has been seen as one of the key enabling approaches for meeting continuously increasing demands on computing resources imposed by massive data sets. The reason for this is the high scalability of the MapReduce paradigm which allows for massively parallel and distributed execution over a large number of computing nodes. This paper identifies MapReduce issues and...
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