Off-campus UMass Amherst users: To download campus access dissertations, please use the following link to log into our proxy server with your UMass Amherst user name and password.
Non-UMass Amherst users: Please talk to your librarian about requesting this dissertation through interlibrary loan.
Dissertations that have an embargo placed on them will not be available to anyone until the embargo expires.
Campus-Only Access for Five (5) Years
Electrical & Computer Engineering
Master of Science in Electrical and Computer Engineering (M.S.E.C.E.)
Year Degree Awarded
Month Degree Awarded
With the continuing growth in network traffic and increasing diversity in web content, web caching, together with various network functions (NFs), has been introduced to enhance security, optimize network performance, and save expenses. In a large enterprise network with more than tens of thousands of users, a single proxy server is not enough to handle a large number of requests and turns to group processing. When multiple web cache proxies are working as a cluster, they talk with each other and share cached objects by using internet cache protocol (ICP). This leads to poor scalability.
This thesis describes the development of a framework that provides the efficient management of a distributed web cache. A controller is introduced into the cluster of proxy servers and becomes responsible for managing objects shared within the cluster. By obtaining a knowledge of global states from the controller, proxy servers that are working in the group do not need to query its neighbors' storage. This reduces traffic in the cluster and saves the computing resources of associated proxy servers. The evaluation on a caching proxy benchmark has shown that our approach demonstrates a superior scalability in comparison to an ICP web caching cluster.
Zhang, Hao, "Efficient Scaling of a Web Proxy Cluster" (2017). Masters Theses. 563.