Webaroo, originally launched as a service that allowed users to see cached web content when they are offline.
Webaroo Webaroo, headquartered in Santa Clara is a new service that launched in April that allows PC users (no Mac support yet) users to access cached web content when they are offline.
Service delay experienced by UE to retrieve the requested content from BS is defined as the ratio between content size and downlink transmission rate from base station (MBS or SBSs) to user, and the caching optimization problem is formulated to minimize the total delay by finding the optimal caching strategy.
In order to enable mobile users to access nearby network caching elements such as servers or mobile devices for popular contents, effective mobile caching strategies are provided to reduce duplicating content transmissions by adopting intelligent caching strategies inside mobile networks.
ReadyBoost allows users to enhance system performance by fast caching data directly to the ExpressCard SSD.
The goal of this work is to design a security management system (SMS) to improve the handshaking process by making use of TLS client-side session caching, and allowing trusted users to share sessions with others, as well as giving the client an option to create his own private session with the server even when there is no trusted digital certificate from a certificate authority (CA) to link them.
At the receiver, we assume packets transmitted to other users are cached (if heard), even though those packets are not intended to itself.
By introducing a utility function defined as a weighted sum of user download delay and the caching cost, the joint user association and content placement problem is formulated as a utility function optimization problem which is transformed equivalently into three convex subproblems by applying McCormick envelopes and Lagrange partial relaxation.
Stressing the tradeoff between user download delay and caching cost, we introduce the concept of utility function which characterizes the joint network performance as the weighted sum of user download delay and the caching cost and formulate the joint user association and cache content placement problem as a network utility optimization problem.
Stressing the tradeoff between user download delay and caching cost, we characterize the joint network performance as the weighted sum of user download delay and the caching cost via applying the concept of utility function and formulate the joint user association and content placement problem as a network utility minimization problem.
