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The following topics are dealt with: social network; personal information; cloud computing; streams and sensor networks; data warehousing; OLAP; data grids; data mining; knowledge discovery; distributed and mobile systems; query processing and optimization; data integration; metadata management; interoperability; privacy and security; distributed systems; semi structured data; XML; Web data management;...
The following topics are dealt with: digital content; digital life; e-learning; Web service; HCI; information security; mobile computing; wireless communication; vehicular technology; image processing; computer graphics; multimedia technologies; computer architecture; SoC; embedded systems; artificial intelligence; knowledge discovery; fuzzy systems; computer networks; Web technologies; biomedical...
The following topics are dealt with: mobile computing; wireless communications; database and data mining; grid and cloud computing; ubiquitous computing; intelligent and bio-inspired computing; advanced networking; security; distributed and parallel computing; data management; workflow management; quality of services and scientific computing.
The following topics are dealt with: cluster and grid computing; P2P computing; multimedia application; knowledge management; data mining; virtual organization; cloud computing; Internet; Web computing; parallel distributed and collaborative system; multimedia display and processing; stream processing and protocol.
The following topics are dealt with : computer architecture; data intensive and I/O computing; algorithm and application; P2P computing; service-oriented architecture; cluster computing; grid computing; cloud computing; performance evaluation; compilers and language; information retrieval; knowledge discovery; OS/resource management; wireless networks; and pervasive computing.
Skyline query processing has recently received a lot of attention in cloud computing community. However, in most real applications, the skyline result can not satisfy the needs of users. This paper proposes a novel type of SkyRank query to more efficiently analyze the data. The SkyRank query on the subspace V divides the input data AD into m separate subsets SKR(1, AD, V),..., SKR(m, AD, V) such that...
What is a cloud application precisely? In this paper, we formulate a computing cloud as a kind of graph, a computing resource such as services or intellectual property access rights as an attribute of a graph node, and the use of a resource as a predicate on an edge of the graph. We also propose to model cloud computation semantically as a set of paths in a subgraph of the cloud such that every edge...
The spread of worldwide networks and the technological trend are feeding the progress of network and distributed computing in different directions (grid, cloud, autonomic, ubiquitous, pervasive, volunteer, etc). With regard to information, great amount of data widely (geographically) spread over the network require adequate management, to ensure availability for authorized users only, confidentiality...
Emerging distributed computing architectures, such as grid and cloud computing, depend on the high integrity execution of each system in the computation. While integrity measurement enables systems to generate proofs of their integrity to remote parties, we find that current integrity measurement approaches are insufficient to prove runtime integrity for systems in these architectures. Integrity measurement...
In a business model for cloud computing, users pay providers for consumption of their computing capabilities. This work proposes an agent-based testbed for bolstering the discovery of cloud resources and SLA negotiation. In the testbed, provider and consumer agents act as intermediaries between providers and consumers. Through a 4-stage resource discovery process (selection, evaluation, filtering,...
From its start using supercomputers, scientific computing constantly evolved to the next levels such as cluster computing, meta-computing, or computational Grids. Today, Cloud Computing is emerging as the paradigm for the next generation of large-scale scientific computing, eliminating the need of hosting expensive computing hardware. Scientists still have their Grid environments in place and can...
Automated composition and optimization of workflows in Service Oriented Computing (SOC) is a challenging research area. However, there are numerous problems yet to be completely resolved, such as: How to automate the solution in a service oriented environment with redundant services competing with each other? How to formally quantify the performance metrics based on user requirements both at the task...
Clouding computing is considered as one of the most promising computing paradigms. Most already existing systems, which provide cloud computing, only pay attention to aggregating resources with the same computing capability and provide user with local optimized and discontinuous results. To satisfy users' complex requirements it's necessary to orchestrate resources with different functions together...
Cloud computing, as a newly emerging technology, is an innovation providing dynamically scalable and virtualized resources as services. In this paper, we introduce our effort to build a service-oriented distributed computational system based on the cloud concepts named distributed computational service cloud. This kind of cloud hosts scalable grid services, which are implemented with Web-services-resource-framework-compliant...
Sharing data within grid environments always results in losing control over data usage. If the shared information is medical data, this violates laws as specified in HIPAA, because access to such data must be reconstructible and needs to be tightly controlled. To comply with these regulations it must be guaranteed, that each data access and modification is recorded to produce audit trails. The provided...
In the age of cloud, Grid, P2P, and volunteer distributed computing, large-scale systems with tens of thousands of unreliable hosts are increasingly common. Invariably, these systems are composed of heterogeneous hosts whose individual availability often exhibit different statistical properties (for example stationary versus non-stationary behavior) and fit different models (for example Exponential,...
The use of user specific virtual machines (VMs) in Grid and Cloud computing reduces the administration overhead associated with manually installing required software for every user on every computational resource. However, a large number of user specific VMs increases the risk of security attacks. In particular, Cloud computing providers like Amazon suffer from these problems, since they offer different...
Current cloud computing infrastructure offerings are lacking in interoperability, which is a hindrance to the advancement and adoption of the cloud computing paradigm. As clouds are made interoperable, federations of clouds may be formed. Such federations are from the point of view of the user not burdened by vendor lock-in, and opens for business possibilities where a market place of cloud computing...
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