Future Generation Computer Systems

The increasing shift of various critical services towards Infrastructure-as-a-Service (IaaS) cloud data centers (CDCs) creates a need for analyzing CDCs availability, which is affected by various factors including repair policy and system parameters. ...

Workflow Scheduling in cloud computing has drawn enormous attention due to its wide application in both scientific and business areas. This is particularly an NP-complete problem. Therefore, many researchers have proposed a number of heuristics as well ...

Large-scale data center suffers from overload of data traffic on some bottleneck links, due to the fact that cloud-based services are mostly accomplished by group communications with multicast traffic. This paper investigates techniques of wireless ...

Live Virtual Machine (VM) migration across data centers is an important technology to facilitate cloud management and deepen the cooperation between cloud providers. Without the support of a shared storage system between data centers, migrating the ...

It is the foundation of accessing and controlling cloud environment to establish the mutual trust relationship between users and clouds. How to identify the credible degree of the user identity and its behaviors have become the core problems. Combining ...

Delay tolerant network (namely DTN) is regarded as a promising technology for communications in challenging environments for its resilience and adaptability. However, efficient and reliable routing algorithm design is still one of many difficulties it ...

High Performance Computing (HPC) applications are essential for scientists and engineers to create and understand models and their properties. These professionals depend on the execution of large sets of computational jobs that explore combinations of ...

With the emergence of Android as a leading operating system in mobile devices, it becomes mandatory to develop specialized, predictive and robust security measures to provide a dependable environment for users. Extant reactive and proactive security ...

Highly decentralized, dynamic and fine-grained access control models of social networks need that the access control mechanisms of social networks own sufficient expressiveness and flexibility. Most of current authorizations are difficult to satisfy the ...

POI (Point-of-interest) prediction is a significant issue in recent years. It can not only enhance user experience in location-based service and apps but also promote the perceived ability of business to potential consumers. However, the accuracy of POI ...

The emergence of persistent memories has powered the data processing with the in-memory environment and in-memory data analytics have become an advance of high-performance data processing. Recent explorations of using in-memory technologies address the ...

Proactive based RPL is the network layer routing protocol designed for route-discovery to transmit the constrained application data from leaf nodes (LLN) to the LLN boarder router (LBR). From LLN boarder router (LBR) to the destination that is connected ...

Cloud datacentre resources and the arriving jobs are addressed to be exhibiting increased level of heterogeneity. A single Cloud job may encompass one to several number of tasks, such tasks usually exhibit increased level of behavioural heterogeneity ...

Minimizing the query cost among multi-hosts is important to data processing for big data applications. Hypergraph is good at modelingdata and data relationships of complex networks, the typical big data applications, by representing multi-way ...

The term of Internet of Things (IoT) remarkably increases the ubiquity of the internet by integrating smart object-based infrastructures. How to achieve efficient fine-grained data access control while preserving data privacy is a challenge task in the ...

In recent years, research on location predictions by mining trajectories of users has attracted a lot of attentions. Existing studies on this topic mostly focus on individual movements, considering the trajectories as solo movements. However, a user ...

Cloud computing and the mobile Internet have been the two most influential information technology revolutions, which intersect in mobile cloud computing (MCC). The burgeoning MCC enables the large-scale collection and processing of big data, which ...

Image fusion is essential in enhancing visual quality by blending complementary images, which are derived from different captured conditions or different sensors in the same scene. The role of image fusion in the Internet of Things has become ...

Social data is one of important material for representing social activities. However, efficiently collecting social data from multiple sources is extremely hard due its big-data attributes. Moreover, discovering hidden patterns between social data to ...

Parkinsons disease (PD) is a chronic and progressive movement disorder affecting patients in large numbers throughout the world. As PD progresses, the affected person is unable to control movement normally. Individuals affected by Parkinsons disease ...

In complex networks, different nodes have distinct impact on overall functionality and resiliency against failures. Hence, identifying vital nodes is crucial to limit the size of the damage during a cascade failure process, enabling us to identify the ...

In this paper, we study the agility of evacuation routes in relation to dynamically changing unpredictable hazardous conditions in smart space networks. Infrastructure safety conditions may unpredictably change through time. Due to unpredictability, ...

Robustness estimation is critical for the design and maintenance of resilient networks. Existing studies on network robustness usually exploit a single network metric to generate attack strategies, which simulate intentional attacks on a network, and ...

A novel insertiondeletioncompensation model with Poisson process for the scale-free complex network is explored. In the proposed model, a batch of newly added nodes are inserted into the network with the rate at under Poisson process and each new node ...

Statistical properties of un-weighted software networks have been extensively studied. However, software networks in their nature should be weighted. Understanding the properties enclosed in the weighted software networks can lead to better software ...

There are several measures or graph parameters of the vulnerability and reliability of a communication network, such as connectivity, toughness, scattering number, integrity, tenacity, rupture degree and edge-analogues of some of them. Among these ...

An interconnection network is usually modelled by an undirected graph in which vertices represent processors or memory modules, and edges represent communication links. It is known that the symmetric properties of a graph (such as the vertex regularity, ...

This paper investigates the model matching problem of input/output asynchronous sequential machines (ASMs) based on the semi-tensor product (STP) of matrices. The controller of the model matching problem is separated to an observer B and a control unit ...

In the collaborative network environment, the ubiquitous cooperation phenomenon among autonomous and selfish individuals has drawn extensive attentions during the last years. The evolution of spatial public goods game has provided an important ...

In this paper, we study the performance of multitask distributed networks where sharing genuine information is costly. We formulate an information credibility model which links the probability of sharing genuine information at each time instant to the ...