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This paper studies a flexible scheduling data structure that is used to manage out-of-order service requests in real-time service-oriented architecture (RT-SOA) applications. We propose a hierarchical TBTree (hTBTree) to record server availability across a hierarchy of time intervals with different degrees of time granularity. Real-time services need to find enough time interval in hTBTree for their...
In this paper, we provide a new resource management algorithm with delay constraints in cognitive OFDMA Systems. Our objective is to give priority to the high real-time cognitive user in the allocation of the channel in the first scheduling slot, maximize multiple cognitive users' weighted rate sum by jointly adjusting their frequency and power resource, under the constraints of multiple primary users'...
Desirable application performance is typically guaranteed through the use of Service Level Agreements (SLAs) that specify fixed fractions of resource capacities that must be allocated for unencumbered use by the application. The mapping between what constitutes desirable performance and SLAs is not unique: multiple SLA expressions might be functionally equivalent. Having the flexibility to transform...
Prior work has shown that the global earliest-deadline-first (GEDF) scheduling algorithm ensures bounded deadline tardiness on multiprocessors with no utilization loss; therefore, GEDF may be a good candidate scheduling algorithm for soft real-time workloads. However, such workloads are often implemented assuming an average-case provisioning, and in prior tardiness-bound derivations for GEDF, worst-case...
The optimality of the Earliest Deadline First scheduler for uniprocessor systems is one of the main reasons behind the popularity of this algorithm among real-time systems. The ability of fully utilizing the computational power of a processing unit however requires the possibility of preempting a task before its completion. When preemptions are disabled, the schedulability overhead could be significant,...
Managed languages such as Java and C# are increasingly being considered for hard real-time applications because of their productivity and software engineering advantages. Automatic memory management, or garbage collection, is a key enabler for robust, reusable libraries, yet remains a challenge for analysis and implementation of real-time execution environments. This paper comprehensively compares...
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