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Network coding is a fundamental tool that enables higher network capacity and lower complexity in routing algorithms, by encouraging the mixing of information flows in the middle of a network. Implementing network coding in the core Internet is subject to practical concerns, since Internet routers are often overwhelmed by packet forwarding tasks, leaving little processing capacity for coding operations...
Load Balancing (LB) of tasks in cloud is an NP hard problem. NP hard class of problems poses the challenge of proving that a solution's value is near optimum without knowing what the optimum value is. Hence applying heuristic techniques to solve the load balancing problem becomes imperative. Reaching a satisfactory solution to the task load balancing problem is a major research area in cloud environment...
Federated cloud facilitates data sharing across multiple organizations. Existing distributed storage systems cannot support efficient data search with complicated query requirements. This paper proposes a DS-index solution to provide distributed search in federated cloud, targeting to support multi-attribute range search with secondary index. DS-index includes a three-layer architecture with a multi-attribute...
Existing Big Data streams coming from social and other connected sensor networks exhibit intrinsic inter-dependency enabling unique challenges to scalable graph analytics. Data from these graphs is usually collected in different geographically located data servers making it suitable for distributed processing on clouds. While numerous solutions for large scale static graph analysis have been proposed,...
Peer-to-peer model is one of the commonly used model for distributed computing. Some of the peers are having demand for certain resources some others may be having additional capacity of resources. Peers may have limitations on the number of concurrent connections (degree). In the present work allocation problem of peers having demand, capacity and degree is considered. The problem is to find an allocation...
Scientific applications need to handle large volume of data-intensive computations and such computational load varies over time. We propose a new load balancing strategy for cloud environments handling those applications. Our strategy exploits the advantages of both push and pull approach to achieve load balancing. Gossip protocol is used to collect the resource statistics from a small set of cluster...
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