activity
20162021
most citedAn agile and distributed mechanism for inter-domain network slicing in next generation mobile networks

22 citations · 37 across the 7 of their papers we have counts for

collaborators

7 papers

cs.GT2021★ 22 cited

An agile and distributed mechanism for inter-domain network slicing in next generation mobile networks

Jalal Khamse-Ashari, Gamini Senarath, Irem Bor-Yaliniz +1

Network slicing is emerging as a promising method to provide sought-after versatility and flexibility to cope with ever-increasing demands. To realize such potential advantages and…

cs.PF2018★ 2 cited

Heterogeneous MacroTasking (HeMT) for Parallel Processing in the Public Cloud

Yuquan Shan, George Kesidis, Bhuvan Urgaonkar +3

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 pul…

cs.PF2018★ 2 cited

Online Scheduling of Spark Workloads with Mesos using Different Fair Allocation Algorithms

Yuquan Shan, Aman Jain, George Kesidis +3

In the following, we present example illustrative and experimental results comparing fair schedulers allocating resources from multiple servers to distributed application framework…

cs.DC2017★ 2 cited

An Efficient and Fair Multi-Resource Allocation Mechanism for Heterogeneous Servers

Jalal Khamse-Ashari, Ioannis Lambadaris, George Kesidis +2

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, di…

cs.PF2017★ 1 cited

Scheduling Distributed Resources in Heterogeneous Private Clouds

George Kesidis, Yuquan Shan, Yujia Wang +3

We first consider the static problem of allocating resources to ( i.e. , scheduling) multiple distributed application framework s, possibly with different priorities and server pre…

cs.DC2016★ 1 cited

Per-Server Dominant-Share Fairness (PS-DSF): A Multi-Resource Fair Allocation Mechanism for Heterogeneous Servers

Jalal Khamse-Ashari, Ioannis Lambadaris, George Kesidis +2

Users of cloud computing platforms pose different types of demands for multiple resources on servers (physical or virtual machines). Besides differences in their resource capacitie…

cs.NI2016★ 7 cited

Constrained Multi-user Multi-server Max-Min Fair Queuing

Jalal Khamse-Ashari, Ioannis Lambadaris, Yiqiang Zhao

In this paper, a multi-user multi-server queuing system is studied in which each user is constrained to get service from a subset of servers. In the studied system, rate allocation…