Egress cloud computing with big data attribution

Abstract

To share big data stored in cloud in a distributed manner can cause so huge data transfer out of cloud that affects cloud service responsiveness, public cloud data-out monetary costs and network bandwidth consumption. Our previous works showed that deploying cloud cache with i-Cloud eviction scheme is an effective solution. Through trace-driven simulations, this paper aims to analyze algorithmic factors influencing the performance of i-Cloud. A main finding is that TTL attribute creates the greatest contribution in i-Cloud efficiency in distributed big data sharing. In addition, this paper presents a guideline for content providers to allow the distributed sharing of their big data in an effective manner.