INTERNETWARE

Although there are many management systems, Cloud management still faces with great challenges, due to the diversity of Cloud resources and ever-changing management requirements. Integration and adaptation become important for constructing a cloud ...

As Internet is changing from a network of data into a network of functionalities, a federated Internet of applications is a natural trending topic, where every application can cooperate with each other smoothly to serve users. Cooperation can be ...

Internetware denotes a kind of complex distributed software system, which executes in an open, uncertain and dynamic environment, and adapts itself to changes in the environment. An important problem related to the development of Internetware ...

Service composition provides supports for automatic construction of required services on the fly from component services provided by different providers. In a smart space, as new providers may come in and existing ones may leave from time to time, the ...

The scale and complexity of modern software systems keep increasing, especially in the context of Internet. An emerging software paradigm named Internetware was proposed to handle openness, dynamism of software systems in the context of Internet. An ...

Rule execution is the core step of rule-based semantic web reasoning. However, most existing approaches are centralized, which cannot scale out to reason big semantic web datasets. In this paper, we described a kind of semantic web rule execution ...

Elastic resource management is one of the key characteristics of cloud computing systems. Existing elastic approaches focus mainly on single resource consumption such as CPU consumption, rarely considering comprehensively various features of ...

Free / Libre / Open Source Software (FLOSS) data, such as bug reports, mailing lists and related webpages, contains valuable information for reusing open source software projects. Before conducting further experiment on FLOSS data, researchers often ...

The "Internetware" paradigm is fundamentally changing the traditional way of software development. More and more software projects are developed, maintained and shared on the Internet. However, a large quantity of heterogeneous software resources have ...

With Graphics Processing Units (GPUs) becoming more and more popular in general purpose computing, more attentions have been paid on building a framework to provide convenient interfaces for GPU programming. MapReduce can greatly simplify the ...

Cloud computing encourages application to migrate into it for economic of scale, where they rent shared resources to deliver services. Service Level Agreements(SLA) plays an important role in assisting various applications providing high-quality ...

In a social network, information runs from word-of-mouth based on the relationship of the users. The influence maximization is to find a limited number of initial users (nodes) to spread the information, so that the maximum number of other users could ...

Minwise hashing is a standard technique in the context of search for approximating set similarities. The recent work [26, 32] demonstrated a potential use of b-bit minwise hashing [23, 24] for efficient search and learning on massive, high-dimensional, ...

Benefitting from advanced web technologies like JavaScript, CSS3 and HTML5, current web applications can provide ever richer functionalities and user experiences, on both PC and mobile devices like tablet computers and smartphones. Furthermore, they can ...

Cyber-physical systems are systems that integrate the digital computational world with the real physical world, often using sensors and actuators as interfaces. There exist many application domains of cyber-physical systems such as autonomous systems, ...

In current cloud systems, firewall penetration of distributed resource is a practical problem. Because this problem refers the existing TCP and UDP penetration schemes, we analyze all kinds of possible transmission environments in practical applications,...

QoS information is often used as the basic evidence for Web services optimization. In order to collect QoS information of Web services, we propose a lightweight Server-Monitor framework. This proposal contains a WS-Monitor Model related to metamodel of ...

Everyone has a characteristic pattern of daily activities. This study applies cluster analysis to identify a computer user's daily behavior patterns based on 1000 China users' 4-weeks software and web usage. Clustering models are built for 4 different ...

Map-Reduce is a powerful solution for processing and analyzing large-scale data. Just as Hadoop and Spark are able to deal with terabyte data and even more. Users only need to complete "map" and "reduce" function, the Map-Reduce framework can finish ...

Monitoring functionality is implemented and provided as infrastructure of most software platforms and applications. However, the construction of system model cannot be achieved by directly composing runtime model of different applications. First, models ...

To evaluate the performance of OLAP engines, adapted benchmarks have been developed in the industry. In this paper, we propose a multidimensional model with cube structure for data analytic system benchmarking based on TPC-DS. A number of analytic ...

Nowadays the concept of IoT is blooming, and the front-end of IoT applications, which is made up by intelligent sensors (here we call them mote), can be seen as a kind of Internetware (here we call this kind of Internetware "mote applications"). ...

As test data widely spreading on the input domain may not thoroughly test the program's logic, in this paper, we propose an approach to generating test data widely spreading on a program's execution paths. In particular, we analyze execution paths of ...

Almost every computing device runs an operating system, which is responsible for managing different resources on the device and providing higher-level programming abstractions. This paper proposes CampusOS, an operating system which is responsible for ...

Internetware is envisioned as a new software paradigm where software developers usually need to interact with unknown partners as well as the software entities developed by them. To reduce uncertainty and boost collaborations in such setting, it is ...

Classification based software fault prediction methods aim to classify the modules into either fault-prone or non-fault-prone. Feature selection is a preprocess step used to improve the data quality. However most of previous research mainly focus on ...

AADL (Architecture Analysis and Design Language) is widely used in the area of modeling and analysis. However, it is not so convenient to describe a hybrid system with AADL. In this paper, we propose an approach to construct an annex of AADL, thus to ...

There are a variety of factors such as massive commodity computers, storage, network devices and complex management tasks running behind web services which make web services not available. Replication is an effective solution in that case. There are a ...

Virtual machine image encapsulates the whole software stack including operating system, middleware, user application and other software products. Failure occurred in any layer of the software stack will be treated as image failure. However, virtual ...

Processes are an effective and efficient way to construct on-demand Internetware applications. It is often needed to evaluate whether two process-driven applications are consistent, or whether the implemented process conforms to the process ...