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Quiver allows these proxies to make consistent access to shared objects by migrating objects to proxies that perform operations on those objects. These migrations dramatically improve performance when operations involving an object exhibit geographic location, since the migration of this object to the proximity of the proxies hosting these operations will benefit all of these operations. Other workloads benefit from Quiver, dispersing the computational load through the proxies and saving the costs of sending operating parameters in the wide area when they are large. Quiver also supports optimizations for readings of individual objects that do not involve object migration.
Dynamic web services are examples of Internet scale applications that use mutable objects. Following the success of content distribution networks (CDNs) for static content, many recent proposals attempt to scale dynamic web services by using service proxies on the "edge" of the Internet. This approach has the potential to distribute the processing load of operations between proxies and to allow clients to access the service by communicating with nearby proxies, rather than a potentially distant centralized server. However, a major challenge in this architecture is to allow (globally distributed) service proxies to efficiently access mutable service objects to service the client's operations, while ensuring a semantics of strong consistency for these accesses To objects.
It can be understood in the following video: