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The JSPIN API also defines the P e r s i s t e n t S t o r e abstract class (in the JSPIN package), which is shown in Figure 14.4. All of the methods of this class, abstract or not, may potentially throw a P e r s i s t e n t S t o r e E x c e p t i o n , which we have omitted from these brief descriptions. JSPIN is implemented via modifications to the Java Developers Kit (JDK) compiler and suitably modified interfaces to the OpenOODB kernel. Importantly, JSPIN runs on an unmodified Java Virtual Machine. As reported in the aforementioned papers ([Kaplan 1996]; [Ridgway 1997]; [Ridgway 1998]), our JSPIN effort successfully demonstrated that the goals of seamlessness and transparency could be achieved with relative ease through the combination of Java and the OpenOODB. We take this as evidence that: Seamlessness and transparency are reasonable and attainable objectives for OODB developers Both Java and the OpenOODB are particularly well-designed artifacts in their respective domains It is our hope that our JSPIN work will inspire future OODB developers to strive for seamlessness and transparency in the systems that they produce.

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CSCI B22 Software Requirements Specification (SRS)

Summary

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The high density and modularity that blades offer, together with consolidation of physical systems through virtualization, will allow data centers to pack substantially more computing power into their data centers, achieve higher utilization of that computing power, and reduce their CapEx costs. Racks of blades working together can deliver the equivalent power of supercomputers, and are built on modular components that can be added/subtracted/swapped as needed, at a greatly reduced cost. In addition, the modularity and manageability of blades together with virtualization allows for significant streamlining of operational and serviceability procedures, reducing IT OpEx costs. Furthermore, integrated remote management of blade systems and advanced management capabilities of a virtualized infrastructure allow for ease of deployment, redeployment, and serviceability in a centralized or distributed data-center environment. This chapter introduced the concepts and some of the benefits of blades and virtualization as complementary technologies. In 2, Evolution of Computing Technology Setting the Stage, we will take a step back to frame the blade and virtualization technologies within the history of computers.

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We believe the work reported in this chapter represents an important extension to object-oriented database technology. Though modern OODBs often provide multiple language interfaces, interoperating among the various languages can be a cumbersome and complex process, thus limiting their overall potential. Using PolySPIN, both C++ and CLOS objects are organized under a single, unified name management mechanism. PolySPIN also provides transparent, polylingual access to objects (of compatible types), even though the objects may have been created using different programming languages. Thus, application developers are free to work in their native language without precluding the possibility of interoperating with foreign language objects or applications. Finally, our work on JSPIN illustrates the practicality and plausibility of achieving transparency and seamlessness for Java in OODBs.

tions and permutations for every conceivable system in a single chart can be confusing and impractical. You, as a practicing Systems Engineer, need to employ your own mental skills to apply this concept to your own business domain, systems, and applications. Guidepost 25.4 The preceding discussions focused on the individual system design and SITE strategies. Next we integrate these strategies into a model.

It is important to understand the context in which new computing technologies, such as blade servers and server virtualization, emerge. To that end, this chapter will look at common trends that have arisen throughout the history of computing, as well as the major evolutionary advancements in computing over the past four decades.

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