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Organizations face the issue of how to best allocate their security resources. Thus, they need an accurate method for assessing how many new vulnerabilities will be reported for the operating systems (OSs) and web browsers they use in a given time period. Our approach consists of clustering vulnerabilities by leveraging the text information within vulnerability records, and then simulating the mean...
Efficient scheduling is critical for achieving improved performance of distributed applications where an application is to be considered as a group of interrelated tasks and represented by a task graph. In this work, we present a clustering-based scheduling algorithm called effective critical path (ECP) to schedule precedence constrained tasks on multiprocessor computing systems. The main aim of the...
This paper studies a fundamental dynamic clustering problem. The input is an online sequence of pairwise communication requests between n nodes (e.g., tasks or virtual machines). Our goal is to minimize the communication cost by partitioning the communicating nodes into $$\ell $$ ℓ clusters (e.g., physical servers) of size k (e.g., number of virtual machine slots). We assume that if the communicating...
Wireless sensor networks (WSNs) form a large part of the ecosystem of the Internet of Things (IoT), hence they have numerous application domains with varying performance and availability requirements. Limited resources that include processing capability, queue capacity, and available energy in addition to frequent node and link failures degrade the performance and availability of these networks. In...
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