human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "multi commodity flow with in network processing"
  Abstract: Modern networks run "middleboxes" that offer services ranging from network address translation and server load balancing to firewalls, encryption, and compression. In an industry trend known as Network Functions Virtualization (NFV), these middleboxes run as virtual machines on any commodity server, and the switches steer traffic through the relevant chain of services. Network administrators must decide how many middleboxes to run, where to place them, and how to direct traffic through them, based on the traffic load and the server and network capacity. Rather than placing specific kinds of middleboxes on each processing node, we argue that server virtualization allows each server node to host all middlebox functions, and simply vary the fraction of resources devoted to each one. This extra flexibility fundamentally changes the optimization problem the network administrators must solve to a new kind of multi-commodity flow problem, where the traffic flows consume bandwidth on the links as well as processing resources on the nodes. We show that allocating resources to maximize the processed flow can be optimized exactly via a linear programming formulation, and to arbitrary accuracy via an efficient combinatorial algorithm. Our experiments with real traffic and topologies show that a joint optimization of node and link resources leads to an efficient use of bandwidth and processing capacity. We also study a class of design problems that decide where to provide node capacity to best process and route a given set of demands, and demonstrate both approximation algorithms and hardness results for these problems.

Connected through hyperedge HE-1 (induced by source paper "network slicing for service oriented networks with flexible routing and guaranteed e2e latency"):
  with members:
    - "network slicing for service oriented networks under resource constraints"
    - "network function virtualization state of the art and research challenges"

Connected through hyperedge HE-2 (induced by source paper "on the robustness of distributed computing networks"):
  with members:
    - "hardness and approximation for network flow interdiction"

Connected through hyperedge HE-3 (induced by source paper "optimal control of distributed computing networks with mixed cast traffic flows"):
  with members:
    - "optimal dynamic cloud network control"
    - "streaming big data meets backpressure in distributed network computation"
    - "on orchestrating virtual network functions in nfv"

Connected through hyperedge HE-4 (induced by source paper "shortest path and maximum flow problems under service function chaining constraints"):
  with members:
    - "optimal virtual network function placement in multi cloud service function chaining architecture"
    - "optimal dynamic cloud network control"
    - "provably efficient algorithms for joint placement and allocation of virtual network functions"

Connected through hyperedge HE-5 (induced by source paper "network slicing for service oriented networks under resource constraints"):
  with members:
    - "distributed service function chaining"
    - "joint source relay design for full duplex mimo af relay systems"
    - "stringer balancing latency and resource usage in service function chain provisioning"
    - "network function virtualization state of the art and research challenges"
    - "scalable routing in sdn enabled networks with consolidated middleboxes"

Question: Please tell me which class the center node belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.DS(Data Structures and Algorithms)