By doing so, these services focus on a specific narrow trade-off between consistency, availability, performance, scale, and migration cost, that is much less attractive to common business needs. Furthermore, while availability is commonly assumed to be sustained by the massive scale itself, data consistency and freshness is usually severely hindered.
providing a similar service: A simple tuple store interface, that allows applications to insert, query, and remove individual elements. Having all started from similar requirements, these systems ended up. This is being acknowledged by several major Internet players embracing the cloud computing model and offering first generation distributed tuple stores.
The current exponential growth of data calls for massive-scale capabilities of storage and processing.
Massive-scale distributed computing is a challenge at our doorstep. By extending the Simple Object Access protocol (SOAP) based Security Assertion Markup Language (SAML), and using SAML assertions, we show how log messages can be exchanged with confidentiality, integrity, and availability, before they are written securely to storage devices. In this paper, we define a "user centric log archival architecture" concept, examine related works and technical specifications, and propose a new trusted model via both abstract and practical methods. It should also be mentioned that if sites providing services do so in a cloud computing environment, it is particularly necessary to use a secure messaging method between the service and log archival sites. Furthermore, there are often cases when a service site is located far away from the log archival site. However, when the owner of a log generated by an application service is a system user, he or she might want to express a preference from the available log archival sites. When the owners of such logs are auditors or system managers, it has been thought that from the standpoint of manageability, it is better to accumulate logs at one site rather. Internet services of numerous types are widely implemented at countless sites in today's worldwide computing environment, and the generated service logs they produce are important for assuring such systems work correctly.
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