How Big is the Datacenter Power Consumption? The proliferation of cloud computing services has promoted massive-scale, geographically distributed datacenters with millions of servers. Large cloud service providers consume many megawatts of power to operate such datacenters and the corresponding annual electricity bills are in the order of tens of millions of dollars — such as Google with over 1...

The network is a crucial resource in cloud computing, but in contrast to other resources such as CPU or memory, the network is currently shared in a best effort manner. However, sharing the network in a datacenter is more challenging than sharing other resources. The key difficulty is that the network allocation for a VM X depends not only on the VMs running on the same machine with X, but also...

Cloud Computing provides various servicers to its users just over an internet connection. For this the Cloud providers have to set up large datacenters which consists of number of computing nodes. These datacenters consumes a huge amount of energy. This not only leads to higher expenses but it also causes harmful effects on our environments. Thus, the attention is shifting towards energy effici...

Resource disaggregation can provide significant improvements in the utilization of resources in the datacenter. A Google cluster trace analysis confirms that up to 70% of memory may be recovered with resource disaggregation. However, resource disaggregation in the cloud is currently unfeasible due to the hardware and network changes required by previously proposed designs. We make the observati...

This paper describes and evaluates Sprinkler, a reliable highthroughput broadcast facility for geographically dispersed datacenters. For scaling cloud services, datacenters use caching throughout their infrastructure. Sprinkler can be used to broadcast update events that invalidate cache entries. The number of recipients can scale to many thousands in such scenarios. The Sprinkler infrastructur...

-Cloud Computing is a term, which involves virtualization, distributed computing, networking, software and web services. A cloud consists of several elements such as clients, datacenter and distributed servers. Central to these issues lies the establishment of an effective load balancing algorithm. The load can be CPU load, memory capacity, delay or network load. Load balancing is the process o...

Cloud computing has become a key component as well as a measure of success for various organizations today. Apart from benefits obtained, it is important to take into account the location of user-base and data-center, which is essential for performance and security reasons, since the location of datacenter and user-base can impact the overall response time. In this paper evaluation of the effec...

Cloud computing frameworks replicate large objects for diverse reasons, often under time-pressure. RDMC (Reliable DMA Multicast) is a reliable data replication protocol that runs at exceptionally high speeds and low latencies, implementing multicast as a pattern of RDMA unicast operations using a novel approach that maximizes concurrency. Users with knowledge of datacenter topology can configur...

We propose a faultand intrusion-tolerant framework for datacenter and cloud infrastructure monitoring. In contrast to existing approaches, our framework is able to deal with Byzantine faults. It is based on a replicated event broker, lying in the core of the monitoring infrastructure, supporting the dissemination of all monitoring events. We describe the architecture and the behavior of the fra...

Over the last several years, datacenter computing has become a pervasive part of the computing landscape. In spite of the success of the datacenter computing paradigm, there are significant challenges remaining to be solved—particularly in the area of networking. The success of TCP/IP in the Internet makes TCP/IP a natural candidate for datacenter network communication. A growing body of resear...