New Statistical Algorithms for the Analysis of Mass - FU Berlin, FB MI ...

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138 CHAPTER 5. COMPUTER SCIENCE GRID STRATEGIES list that has been loaded is flagged with a “load success” flag. Similarly, each data element in the database is also flagged with a “restored” flag. 4. After the core data list has been traversed the worker checks whether all elements in the list have set the “load success” flag and all elements at the database have set the “restored” flag. If this check fails, the migration is terminated and the migration table record is updated setting the state to “migration failed” including a reference to the worker that failed the data transmission. 5. If the check succeeds the migration table record is updated setting the state to “migration successful” and migration data at the database is deleted. 6. Prior to the actual computation the worker checks whether all required data - for example spectra that might have been references - is available locally and possibly requests and loads missing data. 7. Finally, the worker needs to continue at the algorithmic entry point where computation continues. 5.5 QAD Grid Platform Services A service in the QAD Grid platform refers to either a particular computational service (such as peak picking or converting data formats) or a system service (such as workflow execution/control or restarting of unstable workers). A service consists of three components: � The service specification (registration) at the QAD Grid server that describes the identification string (see section 5.3.3) and the parameters needed to define a task for this service. � An implementation of a worker able to handle tasks of this service. � Some method to create new tasks of this service and submit them to the QAD Grid’s job queue (see section 5.3.3). In the QAD Grid system users can create their own (non-system) services by registering this service and developing an individual worker that can handle this particular type of task using the QAD Grid design principles (see section 5.4.1). A new service can also be fully integrated into the QAD Grid which enables central administration (for example worker injections, see section 5.3.3). Once registered, a service is available within the QAD Grid and tasks of this type can be submitted which can be requested and handled by workers. 5.5.1 Service Registration The registration process of a new service announces the new type at the QAD Grid servers and defines its input and output, important for the usage in workflows (see section 5.6). It consists of the following steps: 1. Through a web-based form a registered user can request a new service by entering detail information about the service. This includes a general description and a unique identification string of this service. This
5.5. QAD GRID PLATFORM SERVICES 139 identification string will be used later to match this service with workers and tasks. Further, description and specification of the input parameters used and the output format have to be specified. 2. The service request is reviewed by a QAD Grid administrator and either accepted or denied. 3. In case of a positive decision that new service is automatically inserted into the QAD Grid database. 5.5.2 Service Integration The QAD Grid system allows so-called worker injections (see section 5.3.3). This means, if triggered by some event (e.g. new tasks of a particular kind are available), the QAD Grid server can log into some client machine and start a worker on that machine able to handle this task. To enable this feature a service needs to be integrated into the QAD Grid system. Integration of a service requires the following steps: � The service must be successfully registered (see above) at the system. � Each worker implementation needs to be registered at the QAD server - again, through a web-form. This includes – description, – version number, – operating system(s) this worker runs on (e.g. Linux or Windows), – hardware platform(s) this worker runs on (e.g. Intel or Cell/BE), – 3rd party library dependencies, – class path, – command-line to start this worker. Each 3rd party library used by this worker must be available at the QAD Grid server. This is to avoid redundant storage of libraries within the Grid and therefore multiple transfer of files to a client. Further, by providing verified libraries through the QAD Grid server no misuse can happen. Missing libraries need to be requested and will be integrated into the system by an QAD Grid administrator. � The actual implementation of this worker needs to be available at the QAD Grid server zipped into one archive. This zip archive is also transmitted through the web-form (see above). When a worker is injected into a client this zip archive is transferred and unzipped at the target directory (see section 5.3.3). 5.5.3 Task Submission Submission of tasks to the QAD Grid is done by calling a stored procedure at the database. This call needs to include the task id string and the task’s parameters. The stored procedure then checks � whether the task’s id string is valid � whether the sender is allowed to submit new tasks If the checks are positive the task is inserted into the system’s task queue.
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New Statistical Algorithms for the
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Contents Acknowledgments . . . . .
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New Statistical Algorithms for the
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Extended Abstract English Version M
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German Version Das Gebiet der Prote
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Chapter 1 Introduction and Survey 1
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1.2. GOALS, OBJECTIVES AND TASKS 7
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1.2. GOALS, OBJECTIVES AND TASKS 9
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Chapter 2 Preliminaries 2.1 Topic O
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2.1. TOPIC OVERVIEW 13 Figure 2.1.1
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2.1. TOPIC OVERVIEW 15 completeness
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2.2. AN EXAMPLE 17 (a) Opera A (b)
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2.2. AN EXAMPLE 19 Figure 2.2.6: Tw
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2.2. AN EXAMPLE 21 successes. We ca
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Chapter 3 Mathematical Modeling and
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3.2. INTRODUCTION TO MALDI TOF MS 2
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3.3. PREPROCESSING 31 mix (external
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3.3. PREPROCESSING 33 Figure 3.3.5:
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3.3. PREPROCESSING 35 Figure 3.3.7:
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3.4. HIGHLY SENSITIVE PEAK DETECTIO
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3.5. PEAK DETECTION IN 2D MAPS 43
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3.6. PEAK REGISTRATION (ALIGNMENT)
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3.7. IDENTIFYING POTENTIAL FEATURES
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3.8. EXTRACTING FINGERPRINTS 57 Fig
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3.8. EXTRACTING FINGERPRINTS 59 FID
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3.8. EXTRACTING FINGERPRINTS 61 Dim
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3.9. COMPLEXITY ANALYSIS 63 3.9 Com
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Chapter 4 (Bio-)Medical Application
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4.1. DATA USED 67 4.1.2 Serum Data
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4.2. STATISTICAL REMARKS 69 1. Vali
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4.2. STATISTICAL REMARKS 71 Molar v
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4.2. STATISTICAL REMARKS 73 � Fir
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4.2. STATISTICAL REMARKS 75 Let ˆ
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4.2. STATISTICAL REMARKS 77 the boo
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4.3. STUDY RESULTS 79 Figure 4.3.3:
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4.3. STUDY RESULTS 81 Figure 4.3.4:
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4.3. STUDY RESULTS 83 � kNN (gen.
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4.3. STUDY RESULTS 85 d(x, θi) =
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Page 179 and 180: Appendix A Implementation Details T
Page 181 and 182: Appendix B Curriculum Vitae Name Ti
Page 183 and 184: References Aebersold, R. and Mann,
Page 185 and 186: REFERENCES 179 Breiman, L. (2001).
Page 187 and 188: REFERENCES 181 Downard, K. M. and M
Page 189 and 190: REFERENCES 183 Gillette, M. A., Man
Page 191 and 192: REFERENCES 185 Huyghe, E., Muller,
Page 193 and 194: REFERENCES 187 Kuijpens, J. L. P.,
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REFERENCES 189 McLachlan, S. M. and
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REFERENCES 191 Platt, J. C. (1999).
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REFERENCES 193 Stone, M. (1974). Cr
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REFERENCES 195 Washburn, M. P., Wol
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