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of 111
pro vyhledávání: '"Urgaonkar, Bhuvan"'
Autor:
Zare, Hamidreza, Cadambe, Viveck R., Urgaonkar, Bhuvan, Sharma, Chetan, Soni, Praneet, Alfares, Nader, Merchant, Arif
We design and implement LEGOStore, an erasure coding (EC) based linearizable data store over geo-distributed public cloud data centers (DCs). For such a data store, the confluence of the following factors opens up opportunities for EC to be latency-c
Externí odkaz:
http://arxiv.org/abs/2111.12009
Autor:
Kesidis, George, Alfares, Nader, Li, Xi, Urgaonkar, Bhuvan, Kandemir, Mahmut, Konstantopoulos, Takis
We consider a content-caching system thatis shared by a number of proxies. The cache could belocated in an edge-cloud datacenter and the proxies couldeach serve a large population of mobile end-users. Eachproxy operates its own LRU-list of a certain
Externí odkaz:
http://arxiv.org/abs/1905.07641
Autor:
Shan, Yuquan, Kesidis, George, Urgaonkar, Bhuvan, Schad, Jorg, Khamse-Ashari, Jalal, Lambadaris, Ioannis
Using tiny, equal-sized tasks (Homogeneous microTasking, HomT) has long been regarded an effective way of load balancing in parallel computing systems. When combined with nodes pulling in work upon becoming idle, HomT has the desirable property of au
Externí odkaz:
http://arxiv.org/abs/1810.00988
Autor:
Shan, Yuquan, Jain, Aman, Kesidis, George, Urgaonkar, Bhuvan, Khamse-Ashari, Jalal, Lambadaris, Ioannis
In the following, we present example illustrative and experimental results comparing fair schedulers allocating resources from multiple servers to distributed application frameworks. Resources are allocated so that at least one resource is exhausted
Externí odkaz:
http://arxiv.org/abs/1803.00922
Efficient and fair allocation of multiple types of resources is a crucial objective in a cloud/distributed computing cluster. Users may have diverse resource needs. Furthermore, diversity in server properties/ capabilities may mean that only a subset
Externí odkaz:
http://arxiv.org/abs/1712.10114
Autor:
Kesidis, George, Shan, Yuquan, Wang, Yujia, Urgaonkar, Bhuvan, Khamse-Ashari, Jalal, Lambadaris, Ioanns
We first consider the static problem of allocating resources to ( i.e. , scheduling) multiple distributed application framework s, possibly with different priorities and server preferences , in a private cloud with heterogeneous servers. Several fai
Externí odkaz:
http://arxiv.org/abs/1705.06102
Users of cloud computing platforms pose different types of demands for multiple resources on servers (physical or virtual machines). Besides differences in their resource capacities, servers may be additionally heterogeneous in their ability to servi
Externí odkaz:
http://arxiv.org/abs/1611.00404
We formulate optimization problems to study how data centers might modulate their power demands for cost-effective operation taking into account three key complex features exhibited by real-world electricity pricing schemes: (i) time-varying prices (
Externí odkaz:
http://arxiv.org/abs/1308.0585
Since the electricity bill of a data center constitutes a significant portion of its overall operational costs, reducing this has become important. We investigate cost reduction opportunities that arise by the use of uninterrupted power supply (UPS)
Externí odkaz:
http://arxiv.org/abs/1103.3099
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