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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Desai, A. Singh, J. |
| Copyright Year | 2002 |
| Abstract | This paper presents architecture independent characterization of embedded Java workloads based on the industry standard GrinderBench benchmark which includes different classes of real world embedded Java applications. This work is based on a custom built embedded Java virtual machine (JVM) simulator specifically designed for embedded JVM modeling and embodies domain specific details such as thread scheduling, algorithms used for native CLDC APIs and runtime data structures optimized for use in embedded systems. The results presented include dynamic execution characteristics, dynamic bytecode instruction mix, application and API workload distribution, object allocation statistics, instruction-set coverage, memory usage statistics and method code and stack frame characteristics. |
| Starting Page | 29 |
| Ending Page | 32 |
| Page Count | 4 |
| File Size | 97655 |
| File Format | |
| ISSN | 15566056 |
| Volume Number | 8 |
| Issue Number | 1 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Java Statistical distributions Virtual machining Algorithm design and analysis Job shop scheduling Scheduling algorithm Runtime Data structures Design optimization Embedded Systems Java bytecode Workload Characterization |
| Content Type | Text |
| Resource Type | Article |
| Subject | Hardware and Architecture |
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