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As mobile computing has been developed for decades, a new model for mobile computing, namely, mobile cloud computing, emerges resulting from the marriage of powerful yet affordable mobile devices and cloud computing. In this paper we survey existing mobile cloud computing applications, as well as speculate future generation mobile cloud computing(More)
—In this paper we analyze the reliability of a homogeneous wireless sensor network executing a distributed code attestation protocol with neighbor sensor nodes serving as code verifiers. By considering the tradeoff between energy exhaustion vs. security vulnerability for causing sensor node failures, we identify how often distributed code attestation should(More)
a r t i c l e i n f o a b s t r a c t Wireless sensor nodes are widely used in many areas, including military operation surveillance, natural phenomenon monitoring, and medical diagnosis data collection. These applications need to store and transmit sensitive or secret data, which requires intrusion detection mechanisms be deployed to ensure sensor node(More)
—A temporary coalition is often formed to pursue a common goal based on the collaboration of multiple partners who may have their own objectives. The coalition network must attain multiple objectives, under resource constraints and time deadlines. We propose a task assignment algorithm for a scenario where tasks are dynamic, with different arrival times and(More)
— We propose and analyze a trust management protocol for autonomous service-oriented mobile ad hoc networks (MANETs) populated with service providers (SPs) and service requesters (SRs). We demonstrate the resiliency and convergence properties of our trust protocol design for service-oriented MANETs in the presence of malicious nodes performing opportunistic(More)
In this work, we study a challenging research problem that arises in minimizing the cost of storing customer data online for reliable accesses in a cloud. It is how to near-perfectly balance the remaining capacities of all disks across the cloud system while adding new file blocks so that the inevitable event of capacity expansion can be postponed as much(More)
In this work, we study a challenging research problem that arises in minimizing the cost of storing customer data online for reliable access in a cloud. It is how to near-perfectly balance the remaining capacities of all disks across the cloud system while adding new file blocks so that the inevitable event of capacity expansion can be postponed as much as(More)
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