Network layer mobility: an architecture and survey
Network layer mobility: an architecture and survey
The memory fragmentation problem: solved?
Proceedings of the 1st international symposium on Memory management
A customisable memory management framework for C++
Software—Practice & Experience
Proceedings of the conference on Design, automation and test in Europe
Composing high-performance memory allocators
Proceedings of the ACM SIGPLAN 2001 conference on Programming language design and implementation
A Survey of Energy Efficient Network Protocols for Wireless Networks
Wireless Networks
Global interconnect trade-off for technology over memory modules to application level: case study
Proceedings of the 2003 international workshop on System-level interconnect prediction
Dynamic Storage Allocation: A Survey and Critical Review
IWMM '95 Proceedings of the International Workshop on Memory Management
The changing usage of a mature campus-wide wireless network
Proceedings of the 10th annual international conference on Mobile computing and networking
Intra-task scenario-aware voltage scheduling
Proceedings of the 2005 international conference on Compilers, architectures and synthesis for embedded systems
Proceedings of the conference on Design, automation and test in Europe: Proceedings
Systematic dynamic memory management design methodology for reduced memory footprint
ACM Transactions on Design Automation of Electronic Systems (TODAES)
System-scenario-based design of dynamic embedded systems
ACM Transactions on Design Automation of Electronic Systems (TODAES)
Worst-case performance analysis of synchronous dataflow scenarios
CODES/ISSS '10 Proceedings of the eighth IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis
Synchronous dataflow scenarios
ACM Transactions on Embedded Computing Systems (TECS)
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Today, wireless networks are moving big amounts of data between mobile devices, which have to work in an ubiquitous computing environment, which perpetually changes at run-time (i.e., nodes log on and off, varied user activity, etc.). These changes introduce problems that can not be fully analyzed at design-time and require dynamic (runtime) solutions. These solutions are implemented with the use of run-time resource management at the middleware level for a wide variety of embedded systems. In this paper, we motivate and propose the characterization of the dynamic inputs of wireless protocols (e.g., input to the IEEE 802.11b protocol coming from IPv4 data fragmentation). Thus, through statistical analysis we derive patterns that will guide our optimization process of the middleware for run-time resource management design. We assess the effectiveness of our approach with inputs of 18 real life case studies of wireless networks. Finally, we show up to 81.97% increase in the performance of the proposed design solution compared to the state-of-the-art solutions, without compromising memory footprint or energy consumption.