Zobrazeno 1 - 10
of 79
pro vyhledávání: '"Asser N. Tantawi"'
Autor:
Bogdan Ghit, Asser N. Tantawi
Publikováno v:
MASCOTS
Autor:
Bogdan Ghiț, Asser N. Tantawi
Publikováno v:
Quantitative Evaluation of Systems ISBN: 9783030851712
QEST
QEST
We consider the scheduling system of a container cloud spot market where the user specifies the requested number of containers and their resource requirements, along with a bid value. Jobs are preemptively ordered based on their bid values as the ava
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24989a23f89c952e5524c7863d737750
https://doi.org/10.1007/978-3-030-85172-9_10
https://doi.org/10.1007/978-3-030-85172-9_10
Publikováno v:
Journal of Optical Communications and Networking. 14:A41
Bandwidth demand for data center networks continues as performance increases and is further fueled by the exploding demand for artificial intelligence and new high-performance computing workloads. Managing power and costs will require a range of solu
Autor:
Asser N. Tantawi, Malgorzata Steinder
Publikováno v:
ICAC
Cloud computing offers a platform where virtual entities, such as virtual machines, containers, and pods, are hosted in a physical infrastructure. Such virtual entities request resources, such as CPU, memory, and GPU, among other constraints. The clo
Publikováno v:
IEEE Transactions on Services Computing. 8:199-211
Cloud service providers enable enterprises with the ability to place their business applications into availability zones across multiple locations worldwide. While this capability helps achieve higher availability with smaller failure rates, business
Publikováno v:
SoCC
Hosting data analytics services is challenging as their workload is often composed of on-line (e.g., interactive or streaming), requiring fast on-demand provisioning, and batch jobs. As workload demand fluctuations lead to varying idle capacity, effi
Publikováno v:
SoCC
Spark Streaming discretizes streams of data into micro-batches, each of which is further sub-divided into tasks and processed in parallel to improve job throughput. Previous work [2, 3] has lowered end-to-end latency in Spark Streaming. However, two
Autor:
John Divirgilio, Asser N. Tantawi, Kevin J. Gildea, Liana Fong, John Lewars, Seetharami R. Seelam
Publikováno v:
Journal of Parallel and Distributed Computing. 73:898-910
System noise or Jitter is the activity of hardware, firmware, operating system, runtime system, and management software events. It is shown to disproportionately impact application performance in current generation large-scale clustered systems runni
Autor:
Asser N. Tantawi
Publikováno v:
ICAC
We consider the cloud workload placement problem, which is a mapping of logical to physical entities, that satisfies some constraints and optimizes an objective function. We describe an efficient solution technique that is based on random search meth
Publikováno v:
CLOUD
Recently, more and more enterprises have adopted hybrid cloud strategies to simultaneously enjoy the security of on-premise clouds and the low cost of public clouds. The key challenge of hybrid clouds, though, stems from the difficulty of specifying