Buffer-overflow exploits are a serious security concern, but a code result of BUFFER OVERFLOW is simply a file system driver’s way to indicate to an application that the buffer it specified to store requested result data was too small to hold the data. Application developers use this behavior to determine how large a buffer should be because the file system driver also returns the size of the buffer required to store the data. Operations with a buffer overflow result are usually followed by the same operation with a successful result.
Process Monitor has been used extensively within Microsoft and other organizations to solve difficult or nearly impossible-to-diagnose problems.
Common Log File System
Transactional semantics for a database or a journaled file system often require keeping track of changes made to the data and metadata contained in the files or entries. Typically, these changes are stored in data structures called
Windows provides this kind of logging service through the Common Log File System (CLFS) to support the transactional features built into Windows, including transactional NTFS (TxF) and transactional registry (TxR), and to enable third-party developers to take advantage of similar technology. CLFS provides user-mode and kernel-mode APIs for creating, reading, and writing CLFS log files. The APIs are flexible and extensible, which allows the implementation details and structure of the log records stored in a log file to be defined by a caller. CLFS can be used by a variety of applications, such as databases; for store and forward message queues and replication agents; and for operations such as event logging, compliance logging, or even maintaining undo/redo history in an editor. The CLFS APIs provide a consistent view of a log and allow the sharing of a log between user-mode and kernel-mode components.
Although CLFS calls itself a file system, it actually provides a virtual abstraction layer on top of NTFS by using
Marshalling
Marshalling
Internally, CLFS encapsulates the functionality of the Algorithm for Recovery and Isolation Exploiting Semantics (ARIES), which allows it to provide reliable recovery and replication of operations by using an industry-approved standard. However, CLFS is not limited to supporting ARIES; it is well suited to a variety of logging scenarios. You can find the full ARIES specification at www.sai.msu.su/~megera/postgres/gist/papers/concurrency/p94-mohan.pdf.
The primary job of any high-performance transactional log is to allow log clients to accurately repeat history. CLFS does this by marshalling client log records into memory buffers, forcing them to stable storage (a disk volume), and reading records back on request. After a record makes it to stable storage and the storage media is intact, CLFS is able to read the record across system failures.
Both user-mode and kernel-mode clients marshal data buffers into log records that are part of a
One of the design goals of the CLFS marshalling runtime is to minimize kernel transitions, which it achieves, among other things, through log-space reservation, a requirement for supporting scenarios such as transaction rollbacks. Every time the log marshalling area talks to the CLFS driver (which implies a kernel transition for user-mode clients), the marshalling area tries to negotiate a desired amount of reserved space, usually larger than what is currently required. This means that if the client requires more space in the future, the marshalling area can immediately satisfy the new request without issuing a new kernel transition. Note, however, that if the amount of the reservation cannot be satisfied, the marshalling area will try to get just enough of the reservation to satisfy the user’s request (without extra reserved space), which could potentially lead to additional kernel transitions.
Log Types