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The necessity for distributed parallel multimedia processing capacity in the multimedia-aware cloud derives from the fact that it must provide both data storage and computational resources to the whole number of interconnected users. When an application or a service becomes popular, the underlying system needs to scale up efficiently thus introducing the distributed factor into the overall scheme...
One of the challenges faced by data-intensive computing is the problem of stragglers, which can significantly increase the job completion time. Various proactive and reactive straggler mitigation techniques have been developed to address the problem. The straggler identification scheme is a crucial part of the straggler mitigation techniques, as only when stragglers are detected not only correctly...
Today’s datacenters are increasingly becoming diverse with respect to both hardware and software architectures in order to support a myriad of applications. These applications are also heterogeneous in terms of job response times and resource requirements (eg., Number of Cores, GPUs, Network Speed) and they are expressed as task constraints. Constraints are used for ensuring task performance guarantees/Quality...
We consider the problem of proactive (i.e. predictive) content caching that is aware of the costs of retention of the content in the cache. Prior work on caching (whether proactive or reactive) does not explicitly take into account the storage cost due to the duration of time for which a content is cached. This new problem, which we call retention aware caching, is motivated by two recent technological...
Fog computing is seen as a promising approach to perform distributed, low-latency computation for supporting Internet of Things applications. However, due to the unpredictable arrival of available neighboring fog nodes, the dynamic formation of a fog network can be challenging. In essence, a given fog node must smartly select the set of neighboring fog nodes that can provide low-latency computations...
Network Function Virtualization (NFV) is a new trend in networking, where network functions are moving from custom hardware appliances to software implementations running on virtual machines (VMs) hosted on commodity hardware. While the benefits of NFV such as cost reduction and increased agility are well understood, doubts still exist on whether a software implementation can match up to the high...
Cloud computing uses internet data centers to host applications and data storage. Cloud computing resources and services are offered to customers on pay-per-use model while the quality of the offered resources and services are defined using service level agreements also known as SLAs. Unfortunately, there is no standard mechanism to verify and assure that services delivered by the cloud provider satisfy...
Self-tracking of food intake has been studied at length, but many challenges still remain. Current systems often require significant effort from users, and work that has tried to reduce it resulted in low accuracy or delays. Effort is a major barrier to long term use of self-tracking systems. We propose CalNag, a system that integrates a weighing scale, a barcode reader, and a cloud based service...
MapReduce is a software framework which canparallelize the job execution by dividing a job into a number ofmap and reduce tasks in cloud computing systems. Due to somereasons (hardware malfunction, input data skew, heterogeneouscloud environment, etc.), certain map (reduce) tasks may takeabnormally longer execution time than other tasks. As a result,the straggler map (reduce) tasks will significantly...
The configuration of a Hadoop cluster is significantly important to its performance, because an improper configuration can greatly deteriorate the job execution performance. Unfortunately, systematic guidelines on how to configure a Hadoop cluster are still missing. In this paper, we undertake an empirical study on key operations and mechanisms of Hadoop job execution, including the task assignment...
Cloud computing is great for scaling applications but the latency in a guest VM can be unpredictable due to resource contention between neighbors. For telephony applications, which are latency-sensitive, we propose a system to monitor telephony server latencies and adapt the server load based on the measured latencies. We implemented the system and evaluated it on an Amazon EC2 test bed. We show indirectly...
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